pid_longitudinal_controller.cpp

// Copyright 2021 Tier IV, Inc. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "pid_longitudinal_controller/pid_longitudinal_controller.hpp"

#include "motion_utils/trajectory/trajectory.hpp"
#include "tier4_autoware_utils/geometry/geometry.hpp"
#include "tier4_autoware_utils/math/normalization.hpp"

#include <algorithm>
#include <limits>
#include <memory>
#include <string>
#include <utility>
#include <vector>

namespace autoware::motion::control::pid_longitudinal_controller
{
PidLongitudinalController::PidLongitudinalController(rclcpp::Node & node)
: node_parameters_(node.get_node_parameters_interface()),
  clock_(node.get_clock()),
  logger_(node.get_logger().get_child("longitudinal_controller")),
  diagnostic_updater_(&node)
{
  using std::placeholders::_1;

  // parameters timer
  m_longitudinal_ctrl_period = node.get_parameter("ctrl_period").as_double();

  m_wheel_base = vehicle_info_util::VehicleInfoUtil(node).getVehicleInfo().wheel_base_m;
  m_vehicle_width = vehicle_info_util::VehicleInfoUtil(node).getVehicleInfo().vehicle_width_m;
  m_front_overhang = vehicle_info_util::VehicleInfoUtil(node).getVehicleInfo().front_overhang_m;

  // parameters for delay compensation
  m_delay_compensation_time = node.declare_parameter<double>("delay_compensation_time");  // [s]

  // parameters to enable functions
  m_enable_smooth_stop = node.declare_parameter<bool>("enable_smooth_stop");
  m_enable_overshoot_emergency = node.declare_parameter<bool>("enable_overshoot_emergency");
  m_enable_large_tracking_error_emergency =
    node.declare_parameter<bool>("enable_large_tracking_error_emergency");
  m_enable_slope_compensation = node.declare_parameter<bool>("enable_slope_compensation");
  m_enable_keep_stopped_until_steer_convergence =
    node.declare_parameter<bool>("enable_keep_stopped_until_steer_convergence");

  // parameters for state transition
  {
    auto & p = m_state_transition_params;
    // drive
    p.drive_state_stop_dist = node.declare_parameter<double>("drive_state_stop_dist");  // [m]
    p.drive_state_offset_stop_dist =
      node.declare_parameter<double>("drive_state_offset_stop_dist");  // [m]
    // stopping
    p.stopping_state_stop_dist = node.declare_parameter<double>("stopping_state_stop_dist");  // [m]
    p.stopped_state_entry_duration_time =
      node.declare_parameter<double>("stopped_state_entry_duration_time");  // [s]
    // stop
    p.stopped_state_entry_vel = node.declare_parameter<double>("stopped_state_entry_vel");  // [m/s]
    p.stopped_state_entry_acc =
      node.declare_parameter<double>("stopped_state_entry_acc");  // [m/s²]

    // emergency
    p.emergency_state_overshoot_stop_dist =
      node.declare_parameter<double>("emergency_state_overshoot_stop_dist");  // [m]
    p.emergency_state_traj_trans_dev =
      node.declare_parameter<double>("emergency_state_traj_trans_dev");  // [m]
    p.emergency_state_traj_rot_dev =
      node.declare_parameter<double>("emergency_state_traj_rot_dev");  // [m]
  }

  // parameters for drive state
  {
    // initialize PID gain
    const double kp{node.declare_parameter<double>("kp")};
    const double ki{node.declare_parameter<double>("ki")};
    const double kd{node.declare_parameter<double>("kd")};
    m_pid_vel.setGains(kp, ki, kd);

    // initialize PID limits
    const double max_pid{node.declare_parameter<double>("max_out")};     // [m/s^2]
    const double min_pid{node.declare_parameter<double>("min_out")};     // [m/s^2]
    const double max_p{node.declare_parameter<double>("max_p_effort")};  // [m/s^2]
    const double min_p{node.declare_parameter<double>("min_p_effort")};  // [m/s^2]
    const double max_i{node.declare_parameter<double>("max_i_effort")};  // [m/s^2]
    const double min_i{node.declare_parameter<double>("min_i_effort")};  // [m/s^2]
    const double max_d{node.declare_parameter<double>("max_d_effort")};  // [m/s^2]
    const double min_d{node.declare_parameter<double>("min_d_effort")};  // [m/s^2]
    m_pid_vel.setLimits(max_pid, min_pid, max_p, min_p, max_i, min_i, max_d, min_d);

    // set lowpass filter for vel error and pitch
    const double lpf_vel_error_gain{node.declare_parameter<double>("lpf_vel_error_gain")};
    m_lpf_vel_error = std::make_shared<LowpassFilter1d>(0.0, lpf_vel_error_gain);

    m_enable_integration_at_low_speed =
      node.declare_parameter<bool>("enable_integration_at_low_speed");
    m_current_vel_threshold_pid_integrate =
      node.declare_parameter<double>("current_vel_threshold_pid_integration");  // [m/s]

    m_time_threshold_before_pid_integrate =
      node.declare_parameter<double>("time_threshold_before_pid_integration");  // [s]

    m_enable_brake_keeping_before_stop =
      node.declare_parameter<bool>("enable_brake_keeping_before_stop");         // [-]
    m_brake_keeping_acc = node.declare_parameter<double>("brake_keeping_acc");  // [m/s^2]
  }

  // parameters for smooth stop state
  {
    const double max_strong_acc{
      node.declare_parameter<double>("smooth_stop_max_strong_acc")};  // [m/s^2]
    const double min_strong_acc{
      node.declare_parameter<double>("smooth_stop_min_strong_acc")};                // [m/s^2]
    const double weak_acc{node.declare_parameter<double>("smooth_stop_weak_acc")};  // [m/s^2]
    const double weak_stop_acc{
      node.declare_parameter<double>("smooth_stop_weak_stop_acc")};  // [m/s^2]
    const double strong_stop_acc{
      node.declare_parameter<double>("smooth_stop_strong_stop_acc")};  // [m/s^2]

    const double max_fast_vel{node.declare_parameter<double>("smooth_stop_max_fast_vel")};  // [m/s]
    const double min_running_vel{
      node.declare_parameter<double>("smooth_stop_min_running_vel")};  // [m/s]
    const double min_running_acc{
      node.declare_parameter<double>("smooth_stop_min_running_acc")};  // [m/s^2]
    const double weak_stop_time{
      node.declare_parameter<double>("smooth_stop_weak_stop_time")};  // [s]

    const double weak_stop_dist{
      node.declare_parameter<double>("smooth_stop_weak_stop_dist")};  // [m]
    const double strong_stop_dist{
      node.declare_parameter<double>("smooth_stop_strong_stop_dist")};  // [m]

    m_smooth_stop.setParams(
      max_strong_acc, min_strong_acc, weak_acc, weak_stop_acc, strong_stop_acc, max_fast_vel,
      min_running_vel, min_running_acc, weak_stop_time, weak_stop_dist, strong_stop_dist);
  }

  // parameters for stop state
  {
    auto & p = m_stopped_state_params;
    p.vel = node.declare_parameter<double>("stopped_vel");    // [m/s]
    p.acc = node.declare_parameter<double>("stopped_acc");    // [m/s^2]
    p.jerk = node.declare_parameter<double>("stopped_jerk");  // [m/s^3]
  }

  // parameters for emergency state
  {
    auto & p = m_emergency_state_params;
    p.vel = node.declare_parameter<double>("emergency_vel");    // [m/s]
    p.acc = node.declare_parameter<double>("emergency_acc");    // [m/s^2]
    p.jerk = node.declare_parameter<double>("emergency_jerk");  // [m/s^3]
  }

  // parameters for acceleration limit
  m_max_acc = node.declare_parameter<double>("max_acc");  // [m/s^2]
  m_min_acc = node.declare_parameter<double>("min_acc");  // [m/s^2]

  // parameters for jerk limit
  m_max_jerk = node.declare_parameter<double>("max_jerk");  // [m/s^3]
  m_min_jerk = node.declare_parameter<double>("min_jerk");  // [m/s^3]

  // parameters for slope compensation
  m_adaptive_trajectory_velocity_th =
    node.declare_parameter<double>("adaptive_trajectory_velocity_th");  // [m/s^2]
  const double lpf_pitch_gain{node.declare_parameter<double>("lpf_pitch_gain")};
  m_lpf_pitch = std::make_shared<LowpassFilter1d>(0.0, lpf_pitch_gain);
  m_max_pitch_rad = node.declare_parameter<double>("max_pitch_rad");  // [rad]
  m_min_pitch_rad = node.declare_parameter<double>("min_pitch_rad");  // [rad]

  // check slope source is proper
  const std::string slope_source = node.declare_parameter<std::string>(
    "slope_source");  // raw_pitch, trajectory_pitch or trajectory_adaptive
  if (slope_source == "raw_pitch") {
    m_slope_source = SlopeSource::RAW_PITCH;
  } else if (slope_source == "trajectory_pitch") {
    m_slope_source = SlopeSource::TRAJECTORY_PITCH;
  } else if (slope_source == "trajectory_adaptive") {
    m_slope_source = SlopeSource::TRAJECTORY_ADAPTIVE;
  } else {
    RCLCPP_ERROR(logger_, "Slope source is not valid. Using raw_pitch option as default");
    m_slope_source = SlopeSource::RAW_PITCH;
  }

  // ego nearest index search
  m_ego_nearest_dist_threshold =
    node.has_parameter("ego_nearest_dist_threshold")
      ? node.get_parameter("ego_nearest_dist_threshold").as_double()
      : node.declare_parameter<double>("ego_nearest_dist_threshold");  // [m]
  m_ego_nearest_yaw_threshold =
    node.has_parameter("ego_nearest_yaw_threshold")
      ? node.get_parameter("ego_nearest_yaw_threshold").as_double()
      : node.declare_parameter<double>("ego_nearest_yaw_threshold");  // [rad]

  // subscriber, publisher
  m_pub_slope = node.create_publisher<tier4_debug_msgs::msg::Float32MultiArrayStamped>(
    "~/output/slope_angle", rclcpp::QoS{1});
  m_pub_debug = node.create_publisher<tier4_debug_msgs::msg::Float32MultiArrayStamped>(
    "~/output/longitudinal_diagnostic", rclcpp::QoS{1});
  m_pub_stop_reason_marker = node.create_publisher<Marker>("~/output/stop_reason", rclcpp::QoS{1});

  // set parameter callback
  m_set_param_res = node.add_on_set_parameters_callback(
    std::bind(&PidLongitudinalController::paramCallback, this, _1));

  // diagnostic
  setupDiagnosticUpdater();
}

void PidLongitudinalController::setKinematicState(const nav_msgs::msg::Odometry & msg)
{
  m_current_kinematic_state = msg;
}

void PidLongitudinalController::setCurrentAcceleration(
  const geometry_msgs::msg::AccelWithCovarianceStamped & msg)
{
  m_current_accel = msg;
}

void PidLongitudinalController::setCurrentOperationMode(const OperationModeState & msg)
{
  m_current_operation_mode = msg;
}

void PidLongitudinalController::setTrajectory(
  const autoware_auto_planning_msgs::msg::Trajectory & msg)
{
  if (!longitudinal_utils::isValidTrajectory(msg)) {
    RCLCPP_ERROR_THROTTLE(logger_, *clock_, 3000, "received invalid trajectory. ignore.");
    return;
  }

  if (msg.points.size() < 2) {
    RCLCPP_WARN_THROTTLE(logger_, *clock_, 3000, "Unexpected trajectory size < 2. Ignored.");
    return;
  }

  m_trajectory = msg;
}

rcl_interfaces::msg::SetParametersResult PidLongitudinalController::paramCallback(
  const std::vector<rclcpp::Parameter> & parameters)
{
  auto update_param = [&](const std::string & name, double & v) {
    auto it = std::find_if(
      parameters.cbegin(), parameters.cend(),
      [&name](const rclcpp::Parameter & parameter) { return parameter.get_name() == name; });
    if (it != parameters.cend()) {
      v = it->as_double();
      return true;
    }
    return false;
  };

  // delay compensation
  update_param("delay_compensation_time", m_delay_compensation_time);

  // state transition
  {
    auto & p = m_state_transition_params;
    update_param("drive_state_stop_dist", p.drive_state_stop_dist);
    update_param("stopping_state_stop_dist", p.stopping_state_stop_dist);
    update_param("stopped_state_entry_duration_time", p.stopped_state_entry_duration_time);
    update_param("stopped_state_entry_vel", p.stopped_state_entry_vel);
    update_param("stopped_state_entry_acc", p.stopped_state_entry_acc);
    update_param("emergency_state_overshoot_stop_dist", p.emergency_state_overshoot_stop_dist);
    update_param("emergency_state_traj_trans_dev", p.emergency_state_traj_trans_dev);
    update_param("emergency_state_traj_rot_dev", p.emergency_state_traj_rot_dev);
  }

  // drive state
  {
    double kp{node_parameters_->get_parameter("kp").as_double()};
    double ki{node_parameters_->get_parameter("ki").as_double()};
    double kd{node_parameters_->get_parameter("kd").as_double()};
    update_param("kp", kp);
    update_param("ki", ki);
    update_param("kd", kd);
    m_pid_vel.setGains(kp, ki, kd);

    double max_pid{node_parameters_->get_parameter("max_out").as_double()};
    double min_pid{node_parameters_->get_parameter("min_out").as_double()};
    double max_p{node_parameters_->get_parameter("max_p_effort").as_double()};
    double min_p{node_parameters_->get_parameter("min_p_effort").as_double()};
    double max_i{node_parameters_->get_parameter("max_i_effort").as_double()};
    double min_i{node_parameters_->get_parameter("min_i_effort").as_double()};
    double max_d{node_parameters_->get_parameter("max_d_effort").as_double()};
    double min_d{node_parameters_->get_parameter("min_d_effort").as_double()};
    update_param("max_out", max_pid);
    update_param("min_out", min_pid);
    update_param("max_p_effort", max_p);
    update_param("min_p_effort", min_p);
    update_param("max_i_effort", max_i);
    update_param("min_i_effort", min_i);
    update_param("max_d_effort", max_d);
    update_param("min_d_effort", min_d);
    m_pid_vel.setLimits(max_pid, min_pid, max_p, min_p, max_i, min_i, max_d, min_d);

    update_param("current_vel_threshold_pid_integration", m_current_vel_threshold_pid_integrate);
    update_param("time_threshold_before_pid_integration", m_time_threshold_before_pid_integrate);
  }

  // stopping state
  {
    double max_strong_acc{
      node_parameters_->get_parameter("smooth_stop_max_strong_acc").as_double()};
    double min_strong_acc{
      node_parameters_->get_parameter("smooth_stop_min_strong_acc").as_double()};
    double weak_acc{node_parameters_->get_parameter("smooth_stop_weak_acc").as_double()};
    double weak_stop_acc{node_parameters_->get_parameter("smooth_stop_weak_stop_acc").as_double()};
    double strong_stop_acc{
      node_parameters_->get_parameter("smooth_stop_strong_stop_acc").as_double()};
    double max_fast_vel{node_parameters_->get_parameter("smooth_stop_max_fast_vel").as_double()};
    double min_running_vel{
      node_parameters_->get_parameter("smooth_stop_min_running_vel").as_double()};
    double min_running_acc{
      node_parameters_->get_parameter("smooth_stop_min_running_acc").as_double()};
    double weak_stop_time{
      node_parameters_->get_parameter("smooth_stop_weak_stop_time").as_double()};
    double weak_stop_dist{
      node_parameters_->get_parameter("smooth_stop_weak_stop_dist").as_double()};
    double strong_stop_dist{
      node_parameters_->get_parameter("smooth_stop_strong_stop_dist").as_double()};
    update_param("smooth_stop_max_strong_acc", max_strong_acc);
    update_param("smooth_stop_min_strong_acc", min_strong_acc);
    update_param("smooth_stop_weak_acc", weak_acc);
    update_param("smooth_stop_weak_stop_acc", weak_stop_acc);
    update_param("smooth_stop_strong_stop_acc", strong_stop_acc);
    update_param("smooth_stop_max_fast_vel", max_fast_vel);
    update_param("smooth_stop_min_running_vel", min_running_vel);
    update_param("smooth_stop_min_running_acc", min_running_acc);
    update_param("smooth_stop_weak_stop_time", weak_stop_time);
    update_param("smooth_stop_weak_stop_dist", weak_stop_dist);
    update_param("smooth_stop_strong_stop_dist", strong_stop_dist);
    m_smooth_stop.setParams(
      max_strong_acc, min_strong_acc, weak_acc, weak_stop_acc, strong_stop_acc, max_fast_vel,
      min_running_vel, min_running_acc, weak_stop_time, weak_stop_dist, strong_stop_dist);
  }

  // stop state
  {
    auto & p = m_stopped_state_params;
    update_param("stopped_vel", p.vel);
    update_param("stopped_acc", p.acc);
    update_param("stopped_jerk", p.jerk);
  }

  // emergency state
  {
    auto & p = m_emergency_state_params;
    update_param("emergency_vel", p.vel);
    update_param("emergency_acc", p.acc);
    update_param("emergency_jerk", p.jerk);
  }

  // acceleration limit
  update_param("min_acc", m_min_acc);

  // jerk limit
  update_param("max_jerk", m_max_jerk);
  update_param("min_jerk", m_min_jerk);

  // slope compensation
  update_param("max_pitch_rad", m_max_pitch_rad);
  update_param("min_pitch_rad", m_min_pitch_rad);
  update_param("adaptive_trajectory_velocity_th", m_adaptive_trajectory_velocity_th);

  rcl_interfaces::msg::SetParametersResult result;
  result.successful = true;
  result.reason = "success";
  return result;
}

bool PidLongitudinalController::isReady(
  [[maybe_unused]] const trajectory_follower::InputData & input_data)
{
  return true;
}

trajectory_follower::LongitudinalOutput PidLongitudinalController::run(
  trajectory_follower::InputData const & input_data)
{
  // set input data
  setTrajectory(input_data.current_trajectory);
  setKinematicState(input_data.current_odometry);
  setCurrentAcceleration(input_data.current_accel);
  setCurrentOperationMode(input_data.current_operation_mode);

  // calculate current pose and control data
  geometry_msgs::msg::Pose current_pose = m_current_kinematic_state.pose.pose;

  const auto control_data = getControlData(current_pose);

  // self pose is far from trajectory
  if (control_data.is_far_from_trajectory) {
    if (m_enable_large_tracking_error_emergency) {
      m_control_state = ControlState::EMERGENCY;  // update control state
    }
    const Motion raw_ctrl_cmd = calcEmergencyCtrlCmd(control_data.dt);  // calculate control command
    m_prev_raw_ctrl_cmd = raw_ctrl_cmd;
    const auto cmd_msg =
      createCtrlCmdMsg(raw_ctrl_cmd, control_data.current_motion.vel);  // create control command
    publishDebugData(raw_ctrl_cmd, control_data);                       // publish debug data
    trajectory_follower::LongitudinalOutput output;
    output.control_cmd = cmd_msg;
    return output;
  }

  // update control state
  updateControlState(control_data);

  // calculate control command
  const Motion ctrl_cmd = calcCtrlCmd(control_data);

  // publish control command
  const auto cmd_msg = createCtrlCmdMsg(ctrl_cmd, control_data.current_motion.vel);
  trajectory_follower::LongitudinalOutput output;
  output.control_cmd = cmd_msg;

  // publish debug data
  publishDebugData(ctrl_cmd, control_data);

  // diagnostic
  diagnostic_updater_.force_update();

  return output;
}

PidLongitudinalController::ControlData PidLongitudinalController::getControlData(
  const geometry_msgs::msg::Pose & current_pose)
{
  ControlData control_data{};

  // dt
  control_data.dt = getDt();

  // current velocity and acceleration
  control_data.current_motion.vel = m_current_kinematic_state.twist.twist.linear.x;
  control_data.current_motion.acc = m_current_accel.accel.accel.linear.x;
  control_data.interpolated_traj = m_trajectory;

  // calculate the interpolated point and segment
  const auto current_interpolated_pose =
    calcInterpolatedTrajPointAndSegment(control_data.interpolated_traj, current_pose);

  // Insert the interpolated point
  control_data.interpolated_traj.points.insert(
    control_data.interpolated_traj.points.begin() + current_interpolated_pose.second + 1,
    current_interpolated_pose.first);
  control_data.nearest_idx = current_interpolated_pose.second + 1;
  control_data.target_idx = control_data.nearest_idx;
  const auto nearest_point = current_interpolated_pose.first;
  auto target_point = current_interpolated_pose.first;

  // check if the deviation is worth emergency
  m_diagnostic_data.trans_deviation =
    tier4_autoware_utils::calcDistance2d(current_interpolated_pose.first, current_pose);
  const bool is_dist_deviation_large =
    m_state_transition_params.emergency_state_traj_trans_dev < m_diagnostic_data.trans_deviation;
  m_diagnostic_data.rot_deviation = std::abs(tier4_autoware_utils::normalizeRadian(
    tf2::getYaw(current_interpolated_pose.first.pose.orientation) -
    tf2::getYaw(current_pose.orientation)));
  const bool is_yaw_deviation_large =
    m_state_transition_params.emergency_state_traj_rot_dev < m_diagnostic_data.rot_deviation;

  if (is_dist_deviation_large || is_yaw_deviation_large) {
    // return here if nearest index is not found
    control_data.is_far_from_trajectory = true;
    return control_data;
  }

  // Delay compensation - Calculate the distance we got, predicted velocity and predicted
  // acceleration after delay
  control_data.state_after_delay =
    predictedStateAfterDelay(control_data.current_motion, m_delay_compensation_time);

  // calculate the target motion for delay compensation
  constexpr double min_running_dist = 0.01;
  if (control_data.state_after_delay.running_distance > min_running_dist) {
    const auto target_pose = longitudinal_utils::findTrajectoryPoseAfterDistance(
      control_data.nearest_idx, control_data.state_after_delay.running_distance,
      control_data.interpolated_traj);
    const auto target_interpolated_point =
      calcInterpolatedTrajPointAndSegment(control_data.interpolated_traj, target_pose);
    control_data.target_idx = target_interpolated_point.second + 1;
    control_data.interpolated_traj.points.insert(
      control_data.interpolated_traj.points.begin() + control_data.target_idx,
      target_interpolated_point.first);
    target_point = target_interpolated_point.first;
  }

  // ==========================================================================================
  // NOTE: due to removeOverlapPoints(), the obtained control_data.target_idx and
  // control_data.nearest_idx may become invalid if the number of points decreased.
  // current API does not provide the way to check duplication beforehand and this function
  // does not tell how many/which index points were removed, so there is no way
  // to tell if our `control_data.target_idx` point still exists or removed.
  // ==========================================================================================
  // Remove overlapped points after inserting the interpolated points
  control_data.interpolated_traj.points =
    motion_utils::removeOverlapPoints(control_data.interpolated_traj.points);
  control_data.nearest_idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
    control_data.interpolated_traj.points, nearest_point.pose, m_ego_nearest_dist_threshold,
    m_ego_nearest_yaw_threshold);
  control_data.target_idx = motion_utils::findFirstNearestIndexWithSoftConstraints(
    control_data.interpolated_traj.points, target_point.pose, m_ego_nearest_dist_threshold,
    m_ego_nearest_yaw_threshold);

  // send debug values
  m_debug_values.setValues(DebugValues::TYPE::PREDICTED_VEL, control_data.state_after_delay.vel);
  m_debug_values.setValues(
    DebugValues::TYPE::TARGET_VEL,
    control_data.interpolated_traj.points.at(control_data.target_idx).longitudinal_velocity_mps);

  // shift
  control_data.shift = getCurrentShift(control_data);
  if (control_data.shift != m_prev_shift) {
    m_pid_vel.reset();
  }
  m_prev_shift = control_data.shift;

  // distance to stopline
  control_data.stop_dist = longitudinal_utils::calcStopDistance(
    control_data.interpolated_traj.points.at(control_data.nearest_idx).pose,
    control_data.interpolated_traj, m_ego_nearest_dist_threshold, m_ego_nearest_yaw_threshold);

  // pitch
  // NOTE: getPitchByTraj() calculates the pitch angle as defined in
  // ../media/slope_definition.drawio.svg while getPitchByPose() is not, so `raw_pitch` is reversed
  const double raw_pitch = (-1.0) * longitudinal_utils::getPitchByPose(current_pose.orientation);
  const double traj_pitch = longitudinal_utils::getPitchByTraj(
    control_data.interpolated_traj, control_data.target_idx, m_wheel_base);

  if (m_slope_source == SlopeSource::RAW_PITCH) {
    control_data.slope_angle = m_lpf_pitch->filter(raw_pitch);
  } else if (m_slope_source == SlopeSource::TRAJECTORY_PITCH) {
    control_data.slope_angle = traj_pitch;
  } else if (m_slope_source == SlopeSource::TRAJECTORY_ADAPTIVE) {
    // if velocity is high, use target idx for slope, otherwise, use raw_pitch
    if (control_data.current_motion.vel > m_adaptive_trajectory_velocity_th) {
      control_data.slope_angle = traj_pitch;
      m_lpf_pitch->filter(raw_pitch);
    } else {
      control_data.slope_angle = m_lpf_pitch->filter(raw_pitch);
    }
  } else {
    RCLCPP_ERROR_THROTTLE(
      logger_, *clock_, 3000, "Slope source is not valid. Using raw_pitch option as default");
    control_data.slope_angle = m_lpf_pitch->filter(raw_pitch);
  }

  updatePitchDebugValues(control_data.slope_angle, traj_pitch, raw_pitch);

  return control_data;
}

PidLongitudinalController::Motion PidLongitudinalController::calcEmergencyCtrlCmd(
  const double dt) const
{
  // These accelerations are without slope compensation
  const auto & p = m_emergency_state_params;
  const double vel =
    longitudinal_utils::applyDiffLimitFilter(p.vel, m_prev_raw_ctrl_cmd.vel, dt, p.acc);
  const double acc =
    longitudinal_utils::applyDiffLimitFilter(p.acc, m_prev_raw_ctrl_cmd.acc, dt, p.jerk);

  RCLCPP_ERROR_THROTTLE(
    logger_, *clock_, 3000, "[Emergency stop] vel: %3.3f, acc: %3.3f", vel, acc);

  return Motion{vel, acc};
}

void PidLongitudinalController::updateControlState(const ControlData & control_data)
{
  const double current_vel = control_data.current_motion.vel;
  const double current_acc = control_data.current_motion.acc;
  const double stop_dist = control_data.stop_dist;

  // flags for state transition
  const auto & p = m_state_transition_params;

  const bool departure_condition_from_stopping =
    stop_dist > p.drive_state_stop_dist + p.drive_state_offset_stop_dist;
  const bool departure_condition_from_stopped = stop_dist > p.drive_state_stop_dist;

  // NOTE: the same velocity threshold as motion_utils::searchZeroVelocity
  static constexpr double vel_epsilon = 1e-3;

  // Let vehicle start after the steering is converged for control accuracy
  const bool keep_stopped_condition = std::fabs(current_vel) < vel_epsilon &&
                                      m_enable_keep_stopped_until_steer_convergence &&
                                      !lateral_sync_data_.is_steer_converged;
  if (keep_stopped_condition) {
    auto marker = createDefaultMarker(
      "map", clock_->now(), "stop_reason", 0, Marker::TEXT_VIEW_FACING,
      createMarkerScale(0.0, 0.0, 1.0), createMarkerColor(1.0, 1.0, 1.0, 0.999));
    marker.pose = tier4_autoware_utils::calcOffsetPose(
      m_current_kinematic_state.pose.pose, m_wheel_base + m_front_overhang,
      m_vehicle_width / 2 + 2.0, 1.5);
    marker.text = "steering not\nconverged";
    m_pub_stop_reason_marker->publish(marker);
  }

  const bool stopping_condition = stop_dist < p.stopping_state_stop_dist;

  const bool is_stopped = std::abs(current_vel) < p.stopped_state_entry_vel &&
                          std::abs(current_acc) < p.stopped_state_entry_acc;
  // Case where the ego slips in the opposite direction of the gear due to e.g. a slope is also
  // considered as a stop
  const bool is_not_running = [&]() {
    if (control_data.shift == Shift::Forward) {
      if (is_stopped || current_vel < 0.0) {
        // NOTE: Stopped or moving backward
        return true;
      }
    } else {
      if (is_stopped || 0.0 < current_vel) {
        // NOTE: Stopped or moving forward
        return true;
      }
    }
    return false;
  }();
  if (!is_not_running) {
    m_last_running_time = std::make_shared<rclcpp::Time>(clock_->now());
  }
  const bool stopped_condition =
    m_last_running_time
      ? (clock_->now() - *m_last_running_time).seconds() > p.stopped_state_entry_duration_time
      : false;

  // ==========================================================================================
  // NOTE: due to removeOverlapPoints() in getControlData() m_trajectory and
  // control_data.interpolated_traj have different size.
  // ==========================================================================================
  const double current_vel_cmd = std::fabs(
    control_data.interpolated_traj.points.at(control_data.nearest_idx).longitudinal_velocity_mps);
  const bool emergency_condition = m_enable_overshoot_emergency &&
                                   stop_dist < -p.emergency_state_overshoot_stop_dist &&
                                   current_vel_cmd < vel_epsilon;
  const bool has_nonzero_target_vel = std::abs(current_vel_cmd) > 1.0e-5;

  const auto changeState = [this](const auto s) {
    if (s != m_control_state) {
      RCLCPP_DEBUG_STREAM(
        logger_, "controller state changed: " << toStr(m_control_state) << " -> " << toStr(s));
    }
    m_control_state = s;
    return;
  };

  const auto debug_msg_once = [this](const auto & s) { RCLCPP_DEBUG_ONCE(logger_, "%s", s); };

  const bool is_under_control = m_current_operation_mode.is_autoware_control_enabled &&
                                m_current_operation_mode.mode == OperationModeState::AUTONOMOUS;

  if (is_under_control != m_prev_vehicle_is_under_control) {
    m_prev_vehicle_is_under_control = is_under_control;
    m_under_control_starting_time =
      is_under_control ? std::make_shared<rclcpp::Time>(clock_->now()) : nullptr;
  }
  // transit state
  // in DRIVE state
  if (m_control_state == ControlState::DRIVE) {
    if (emergency_condition) {
      return changeState(ControlState::EMERGENCY);
    }
    if (!is_under_control && stopped_condition && keep_stopped_condition) {
      // NOTE: When the ego is stopped on manual driving, since the driving state may transit to
      //       autonomous, keep_stopped_condition should be checked.
      return changeState(ControlState::STOPPED);
    }

    if (m_enable_smooth_stop) {
      if (stopping_condition) {
        // predictions after input time delay
        const double pred_vel_in_target = control_data.state_after_delay.vel;
        const double pred_stop_dist =
          control_data.stop_dist -
          0.5 * (pred_vel_in_target + current_vel) * m_delay_compensation_time;
        m_smooth_stop.init(pred_vel_in_target, pred_stop_dist);
        return changeState(ControlState::STOPPING);
      }
    } else {
      if (stopped_condition && !departure_condition_from_stopped) {
        return changeState(ControlState::STOPPED);
      }
    }
    return;
  }

  // in STOPPING state
  if (m_control_state == ControlState::STOPPING) {
    if (emergency_condition) {
      return changeState(ControlState::EMERGENCY);
    }
    if (stopped_condition) {
      return changeState(ControlState::STOPPED);
    }

    if (departure_condition_from_stopping) {
      m_pid_vel.reset();
      m_lpf_vel_error->reset(0.0);
      // prevent the car from taking a long time to start to move
      m_prev_ctrl_cmd.acc = std::max(0.0, m_prev_ctrl_cmd.acc);
      return changeState(ControlState::DRIVE);
    }
    return;
  }

  // in STOPPED state
  if (m_control_state == ControlState::STOPPED) {
    // -- debug print --
    if (has_nonzero_target_vel && !departure_condition_from_stopped) {
      debug_msg_once("target speed > 0, but departure condition is not met. Keep STOPPED.");
    }
    if (has_nonzero_target_vel && keep_stopped_condition) {
      debug_msg_once("target speed > 0, but keep stop condition is met. Keep STOPPED.");
    }
    // ---------------

    if (keep_stopped_condition) {
      return changeState(ControlState::STOPPED);
    }
    if (departure_condition_from_stopped) {
      m_pid_vel.reset();
      m_lpf_vel_error->reset(0.0);
      // prevent the car from taking a long time to start to move
      m_prev_ctrl_cmd.acc = std::max(0.0, m_prev_ctrl_cmd.acc);
      return changeState(ControlState::DRIVE);
    }

    return;
  }

  // in EMERGENCY state
  if (m_control_state == ControlState::EMERGENCY) {
    if (stopped_condition) {
      return changeState(ControlState::STOPPED);
    }

    if (!emergency_condition) {
      if (!is_under_control) {
        // NOTE: On manual driving, no need stopping to exit the emergency.
        return changeState(ControlState::DRIVE);
      }
    }
    return;
  }

  RCLCPP_FATAL(logger_, "invalid state found.");
  return;
}

PidLongitudinalController::Motion PidLongitudinalController::calcCtrlCmd(
  const ControlData & control_data)
{
  const size_t target_idx = control_data.target_idx;

  // velocity and acceleration command
  Motion raw_ctrl_cmd{
    control_data.interpolated_traj.points.at(target_idx).longitudinal_velocity_mps,
    control_data.interpolated_traj.points.at(target_idx).acceleration_mps2};

  if (m_control_state == ControlState::DRIVE) {
    raw_ctrl_cmd.vel =
      control_data.interpolated_traj.points.at(control_data.target_idx).longitudinal_velocity_mps;
    raw_ctrl_cmd.acc = applyVelocityFeedback(control_data);
    raw_ctrl_cmd = keepBrakeBeforeStop(control_data, raw_ctrl_cmd, target_idx);

    RCLCPP_DEBUG(
      logger_,
      "[feedback control]  vel: %3.3f, acc: %3.3f, dt: %3.3f, v_curr: %3.3f, v_ref: %3.3f "
      "feedback_ctrl_cmd.ac: %3.3f",
      raw_ctrl_cmd.vel, raw_ctrl_cmd.acc, control_data.dt, control_data.current_motion.vel,
      control_data.interpolated_traj.points.at(control_data.target_idx).longitudinal_velocity_mps,
      raw_ctrl_cmd.acc);
  } else if (m_control_state == ControlState::STOPPING) {
    raw_ctrl_cmd.acc = m_smooth_stop.calculate(
      control_data.stop_dist, control_data.current_motion.vel, control_data.current_motion.acc,
      m_vel_hist, m_delay_compensation_time);
    raw_ctrl_cmd.vel = m_stopped_state_params.vel;

    RCLCPP_DEBUG(
      logger_, "[smooth stop]: Smooth stopping. vel: %3.3f, acc: %3.3f", raw_ctrl_cmd.vel,
      raw_ctrl_cmd.acc);
  } else if (m_control_state == ControlState::STOPPED) {
    // This acceleration is without slope compensation
    const auto & p = m_stopped_state_params;
    raw_ctrl_cmd.vel = p.vel;
    raw_ctrl_cmd.acc = longitudinal_utils::applyDiffLimitFilter(
      p.acc, m_prev_raw_ctrl_cmd.acc, control_data.dt, p.jerk);

    RCLCPP_DEBUG(logger_, "[Stopped]. vel: %3.3f, acc: %3.3f", raw_ctrl_cmd.vel, raw_ctrl_cmd.acc);
  } else if (m_control_state == ControlState::EMERGENCY) {
    raw_ctrl_cmd = calcEmergencyCtrlCmd(control_data.dt);
  }

  // store acceleration without slope compensation
  m_prev_raw_ctrl_cmd = raw_ctrl_cmd;

  // apply slope compensation and filter acceleration and jerk
  const double filtered_acc_cmd = calcFilteredAcc(raw_ctrl_cmd.acc, control_data);
  const Motion filtered_ctrl_cmd{raw_ctrl_cmd.vel, filtered_acc_cmd};

  // update debug visualization
  updateDebugVelAcc(control_data);

  return filtered_ctrl_cmd;
}

// Do not use nearest_idx here
autoware_auto_control_msgs::msg::LongitudinalCommand PidLongitudinalController::createCtrlCmdMsg(
  const Motion & ctrl_cmd, const double & current_vel)
{
  // publish control command
  autoware_auto_control_msgs::msg::LongitudinalCommand cmd{};
  cmd.stamp = clock_->now();
  cmd.speed = static_cast<decltype(cmd.speed)>(ctrl_cmd.vel);
  cmd.acceleration = static_cast<decltype(cmd.acceleration)>(ctrl_cmd.acc);

  // store current velocity history
  m_vel_hist.push_back({clock_->now(), current_vel});
  while (m_vel_hist.size() >
         static_cast<size_t>(m_delay_compensation_time / m_longitudinal_ctrl_period)) {
    m_vel_hist.erase(m_vel_hist.begin());
  }

  m_prev_ctrl_cmd = ctrl_cmd;

  return cmd;
}

void PidLongitudinalController::publishDebugData(
  const Motion & ctrl_cmd, const ControlData & control_data)
{
  // set debug values
  m_debug_values.setValues(DebugValues::TYPE::DT, control_data.dt);
  m_debug_values.setValues(DebugValues::TYPE::CALCULATED_ACC, control_data.current_motion.acc);
  m_debug_values.setValues(DebugValues::TYPE::SHIFT, static_cast<double>(control_data.shift));
  m_debug_values.setValues(DebugValues::TYPE::STOP_DIST, control_data.stop_dist);
  m_debug_values.setValues(DebugValues::TYPE::CONTROL_STATE, static_cast<double>(m_control_state));
  m_debug_values.setValues(DebugValues::TYPE::ACC_CMD_PUBLISHED, ctrl_cmd.acc);

  // publish debug values
  tier4_debug_msgs::msg::Float32MultiArrayStamped debug_msg{};
  debug_msg.stamp = clock_->now();
  for (const auto & v : m_debug_values.getValues()) {
    debug_msg.data.push_back(static_cast<decltype(debug_msg.data)::value_type>(v));
  }
  m_pub_debug->publish(debug_msg);

  // slope angle
  tier4_debug_msgs::msg::Float32MultiArrayStamped slope_msg{};
  slope_msg.stamp = clock_->now();
  slope_msg.data.push_back(
    static_cast<decltype(slope_msg.data)::value_type>(control_data.slope_angle));
  m_pub_slope->publish(slope_msg);
}

double PidLongitudinalController::getDt()
{
  double dt;
  if (!m_prev_control_time) {
    dt = m_longitudinal_ctrl_period;
    m_prev_control_time = std::make_shared<rclcpp::Time>(clock_->now());
  } else {
    dt = (clock_->now() - *m_prev_control_time).seconds();
    *m_prev_control_time = clock_->now();
  }
  const double max_dt = m_longitudinal_ctrl_period * 2.0;
  const double min_dt = m_longitudinal_ctrl_period * 0.5;
  return std::max(std::min(dt, max_dt), min_dt);
}

enum PidLongitudinalController::Shift PidLongitudinalController::getCurrentShift(
  const ControlData & control_data) const
{
  constexpr double epsilon = 1e-5;

  const double target_vel =
    control_data.interpolated_traj.points.at(control_data.target_idx).longitudinal_velocity_mps;

  if (target_vel > epsilon) {
    return Shift::Forward;
  } else if (target_vel < -epsilon) {
    return Shift::Reverse;
  }

  return m_prev_shift;
}

double PidLongitudinalController::calcFilteredAcc(
  const double raw_acc, const ControlData & control_data)
{
  const double acc_max_filtered = std::clamp(raw_acc, m_min_acc, m_max_acc);
  m_debug_values.setValues(DebugValues::TYPE::ACC_CMD_ACC_LIMITED, acc_max_filtered);

  // store ctrl cmd without slope filter
  storeAccelCmd(acc_max_filtered);

  // apply slope compensation
  const double acc_slope_filtered =
    applySlopeCompensation(acc_max_filtered, control_data.slope_angle, control_data.shift);
  m_debug_values.setValues(DebugValues::TYPE::ACC_CMD_SLOPE_APPLIED, acc_slope_filtered);

  // This jerk filter must be applied after slope compensation
  const double acc_jerk_filtered = longitudinal_utils::applyDiffLimitFilter(
    acc_slope_filtered, m_prev_ctrl_cmd.acc, control_data.dt, m_max_jerk, m_min_jerk);
  m_debug_values.setValues(DebugValues::TYPE::ACC_CMD_JERK_LIMITED, acc_jerk_filtered);

  return acc_jerk_filtered;
}

void PidLongitudinalController::storeAccelCmd(const double accel)
{
  if (m_control_state == ControlState::DRIVE) {
    // convert format
    autoware_auto_control_msgs::msg::LongitudinalCommand cmd;
    cmd.stamp = clock_->now();
    cmd.acceleration = static_cast<decltype(cmd.acceleration)>(accel);

    // store published ctrl cmd
    m_ctrl_cmd_vec.emplace_back(cmd);
  } else {
    // reset command
    m_ctrl_cmd_vec.clear();
  }

  // remove unused ctrl cmd
  if (m_ctrl_cmd_vec.size() <= 2) {
    return;
  }
  if ((clock_->now() - m_ctrl_cmd_vec.at(1).stamp).seconds() > m_delay_compensation_time) {
    m_ctrl_cmd_vec.erase(m_ctrl_cmd_vec.begin());
  }
}

double PidLongitudinalController::applySlopeCompensation(
  const double input_acc, const double pitch, const Shift shift) const
{
  if (!m_enable_slope_compensation) {
    return input_acc;
  }
  const double pitch_limited = std::min(std::max(pitch, m_min_pitch_rad), m_max_pitch_rad);

  // Acceleration command is always positive independent of direction (= shift) when car is running
  double sign = (shift == Shift::Forward) ? 1.0 : (shift == Shift::Reverse ? -1.0 : 0);
  double compensated_acc = input_acc + sign * 9.81 * std::sin(pitch_limited);
  return compensated_acc;
}

PidLongitudinalController::Motion PidLongitudinalController::keepBrakeBeforeStop(
  const ControlData & control_data, const Motion & target_motion, const size_t nearest_idx) const
{
  Motion output_motion = target_motion;

  if (m_enable_brake_keeping_before_stop == false) {
    return output_motion;
  }
  const auto traj = control_data.interpolated_traj;

  const auto stop_idx = motion_utils::searchZeroVelocityIndex(traj.points);
  if (!stop_idx) {
    return output_motion;
  }

  double min_acc_before_stop = std::numeric_limits<double>::max();
  size_t min_acc_idx = std::numeric_limits<size_t>::max();
  for (int i = static_cast<int>(*stop_idx); i >= 0; --i) {
    const auto ui = static_cast<size_t>(i);
    if (traj.points.at(ui).acceleration_mps2 > static_cast<float>(min_acc_before_stop)) {
      break;
    }
    min_acc_before_stop = traj.points.at(ui).acceleration_mps2;
    min_acc_idx = ui;
  }

  const double brake_keeping_acc = std::max(m_brake_keeping_acc, min_acc_before_stop);
  if (nearest_idx >= min_acc_idx && target_motion.acc > brake_keeping_acc) {
    output_motion.acc = brake_keeping_acc;
  }

  return output_motion;
}

std::pair<autoware_auto_planning_msgs::msg::TrajectoryPoint, size_t>
PidLongitudinalController::calcInterpolatedTrajPointAndSegment(
  const autoware_auto_planning_msgs::msg::Trajectory & traj,
  const geometry_msgs::msg::Pose & pose) const
{
  if (traj.points.size() == 1) {
    return std::make_pair(traj.points.at(0), 0);
  }

  // apply linear interpolation
  return longitudinal_utils::lerpTrajectoryPoint(
    traj.points, pose, m_ego_nearest_dist_threshold, m_ego_nearest_yaw_threshold);
}

PidLongitudinalController::StateAfterDelay PidLongitudinalController::predictedStateAfterDelay(
  const Motion current_motion, const double delay_compensation_time) const
{
  const double current_vel = current_motion.vel;
  const double current_acc = current_motion.acc;
  double running_distance = 0.0;
  double pred_vel = current_vel;
  double pred_acc = current_acc;

  if (m_ctrl_cmd_vec.empty() || m_current_operation_mode.mode != OperationModeState::AUTONOMOUS) {
    // check time to stop
    const double time_to_stop = -current_vel / current_acc;
    const double delay_time_calculation =
      time_to_stop > 0.0 && time_to_stop < delay_compensation_time ? time_to_stop
                                                                   : delay_compensation_time;
    // simple linear prediction
    pred_vel = current_vel + current_acc * delay_time_calculation;
    running_distance = std::abs(
      delay_time_calculation * current_vel +
      0.5 * current_acc * delay_time_calculation * delay_time_calculation);
    // avoid to change sign of current_vel and pred_vel
    return StateAfterDelay{pred_vel, pred_acc, running_distance};
  }

  for (std::size_t i = 0; i < m_ctrl_cmd_vec.size(); ++i) {
    if ((clock_->now() - m_ctrl_cmd_vec.at(i).stamp).seconds() < delay_compensation_time) {
      // add velocity to accel * dt
      const double time_to_next_acc =
        (i == m_ctrl_cmd_vec.size() - 1)
          ? std::min(
              (clock_->now() - m_ctrl_cmd_vec.back().stamp).seconds(), delay_compensation_time)
          : std::min(
              (rclcpp::Time(m_ctrl_cmd_vec.at(i + 1).stamp) -
               rclcpp::Time(m_ctrl_cmd_vec.at(i).stamp))
                .seconds(),
              delay_compensation_time);
      const double acc = m_ctrl_cmd_vec.at(i).acceleration;
      // because acc_cmd is positive when vehicle is running backward
      pred_acc = std::copysignf(1.0, static_cast<float>(pred_vel)) * acc;
      running_distance += std::abs(
        std::abs(pred_vel) * time_to_next_acc + 0.5 * acc * time_to_next_acc * time_to_next_acc);
      pred_vel += pred_vel < 0.0 ? (-acc * time_to_next_acc) : (acc * time_to_next_acc);
      if (pred_vel / current_vel < 0.0) {
        // sign of velocity is changed
        pred_vel = 0.0;
        break;
      }
    }
  }

  return StateAfterDelay{pred_vel, pred_acc, running_distance};
}

double PidLongitudinalController::applyVelocityFeedback(const ControlData & control_data)
{
  // NOTE: Acceleration command is always positive even if the ego drives backward.
  const double vel_sign = (control_data.shift == Shift::Forward)
                            ? 1.0
                            : (control_data.shift == Shift::Reverse ? -1.0 : 0.0);
  const double current_vel = control_data.current_motion.vel;
  const auto target_motion = Motion{
    control_data.interpolated_traj.points.at(control_data.target_idx).longitudinal_velocity_mps,
    control_data.interpolated_traj.points.at(control_data.target_idx).acceleration_mps2};
  const double diff_vel = (target_motion.vel - current_vel) * vel_sign;
  const bool is_under_control = m_current_operation_mode.is_autoware_control_enabled &&
                                m_current_operation_mode.mode == OperationModeState::AUTONOMOUS;

  const bool vehicle_is_moving = std::abs(current_vel) > m_current_vel_threshold_pid_integrate;
  const double time_under_control = getTimeUnderControl();
  const bool vehicle_is_stuck =
    !vehicle_is_moving && time_under_control > m_time_threshold_before_pid_integrate;

  const bool enable_integration =
    (vehicle_is_moving || (m_enable_integration_at_low_speed && vehicle_is_stuck)) &&
    is_under_control;

  const double error_vel_filtered = m_lpf_vel_error->filter(diff_vel);

  std::vector<double> pid_contributions(3);
  const double pid_acc =
    m_pid_vel.calculate(error_vel_filtered, control_data.dt, enable_integration, pid_contributions);

  // Feedforward scaling:
  // This is for the coordinate conversion where feedforward is applied, from Time to Arclength.
  // Details: For accurate control, the feedforward should be calculated in the arclength coordinate
  // system, not in the time coordinate system. Otherwise, even if FF is applied, the vehicle speed
  // deviation will be bigger.
  constexpr double ff_scale_max = 2.0;  // for safety
  constexpr double ff_scale_min = 0.5;  // for safety
  const double ff_scale = std::clamp(
    std::abs(current_vel) / std::max(std::abs(target_motion.vel), 0.1), ff_scale_min, ff_scale_max);
  const double ff_acc =
    control_data.interpolated_traj.points.at(control_data.target_idx).acceleration_mps2 * ff_scale;

  const double feedback_acc = ff_acc + pid_acc;

  m_debug_values.setValues(DebugValues::TYPE::ACC_CMD_PID_APPLIED, feedback_acc);
  m_debug_values.setValues(DebugValues::TYPE::ERROR_VEL_FILTERED, error_vel_filtered);
  m_debug_values.setValues(DebugValues::TYPE::ACC_CMD_FB_P_CONTRIBUTION, pid_contributions.at(0));
  m_debug_values.setValues(DebugValues::TYPE::ACC_CMD_FB_I_CONTRIBUTION, pid_contributions.at(1));
  m_debug_values.setValues(DebugValues::TYPE::ACC_CMD_FB_D_CONTRIBUTION, pid_contributions.at(2));
  m_debug_values.setValues(DebugValues::TYPE::FF_SCALE, ff_scale);
  m_debug_values.setValues(DebugValues::TYPE::ACC_CMD_FF, ff_acc);

  return feedback_acc;
}

void PidLongitudinalController::updatePitchDebugValues(
  const double pitch, const double traj_pitch, const double raw_pitch)
{
  const double to_degrees = (180.0 / static_cast<double>(M_PI));
  m_debug_values.setValues(DebugValues::TYPE::PITCH_LPF_RAD, pitch);
  m_debug_values.setValues(DebugValues::TYPE::PITCH_LPF_DEG, pitch * to_degrees);
  m_debug_values.setValues(DebugValues::TYPE::PITCH_RAW_RAD, raw_pitch);
  m_debug_values.setValues(DebugValues::TYPE::PITCH_RAW_DEG, raw_pitch * to_degrees);
  m_debug_values.setValues(DebugValues::TYPE::PITCH_RAW_TRAJ_RAD, traj_pitch);
  m_debug_values.setValues(DebugValues::TYPE::PITCH_RAW_TRAJ_DEG, traj_pitch * to_degrees);
}

void PidLongitudinalController::updateDebugVelAcc(const ControlData & control_data)
{
  m_debug_values.setValues(DebugValues::TYPE::CURRENT_VEL, control_data.current_motion.vel);
  m_debug_values.setValues(
    DebugValues::TYPE::TARGET_VEL,
    control_data.interpolated_traj.points.at(control_data.target_idx).longitudinal_velocity_mps);
  m_debug_values.setValues(
    DebugValues::TYPE::TARGET_ACC,
    control_data.interpolated_traj.points.at(control_data.target_idx).acceleration_mps2);
  m_debug_values.setValues(
    DebugValues::TYPE::NEAREST_VEL,
    control_data.interpolated_traj.points.at(control_data.nearest_idx).longitudinal_velocity_mps);
  m_debug_values.setValues(
    DebugValues::TYPE::NEAREST_ACC,
    control_data.interpolated_traj.points.at(control_data.nearest_idx).acceleration_mps2);
  m_debug_values.setValues(
    DebugValues::TYPE::ERROR_VEL,
    control_data.interpolated_traj.points.at(control_data.nearest_idx).longitudinal_velocity_mps -
      control_data.current_motion.vel);
}

void PidLongitudinalController::setupDiagnosticUpdater()
{
  diagnostic_updater_.setHardwareID("pid_longitudinal_controller");
  diagnostic_updater_.add("control_state", this, &PidLongitudinalController::checkControlState);
}

void PidLongitudinalController::checkControlState(
  diagnostic_updater::DiagnosticStatusWrapper & stat)
{
  using diagnostic_msgs::msg::DiagnosticStatus;

  auto level = DiagnosticStatus::OK;
  std::string msg = "OK";

  if (m_control_state == ControlState::EMERGENCY) {
    level = DiagnosticStatus::ERROR;
    msg = "emergency occurred due to ";
  }

  if (
    m_state_transition_params.emergency_state_traj_trans_dev < m_diagnostic_data.trans_deviation) {
    msg += "translation deviation";
  }

  if (m_state_transition_params.emergency_state_traj_rot_dev < m_diagnostic_data.rot_deviation) {
    msg += "rotation deviation";
  }

  stat.add<int32_t>("control_state", static_cast<int32_t>(m_control_state));
  stat.addf(
    "translation deviation threshold", "%lf",
    m_state_transition_params.emergency_state_traj_trans_dev);
  stat.addf("translation deviation", "%lf", m_diagnostic_data.trans_deviation);
  stat.addf(
    "rotation deviation threshold", "%lf", m_state_transition_params.emergency_state_traj_rot_dev);
  stat.addf("rotation deviation", "%lf", m_diagnostic_data.rot_deviation);
  stat.summary(level, msg);
}

double PidLongitudinalController::getTimeUnderControl()
{
  if (!m_under_control_starting_time) return 0.0;
  return (clock_->now() - *m_under_control_starting_time).seconds();
}

}  // namespace autoware::motion::control::pid_longitudinal_controller