add param and remove debug svg

Signed-off-by: Maxime CLEMENT <maxime.clement@tier4.jp>

Author: maxime-clem

planning/behavior_velocity_out_of_lane_module/config/out_of_lane.param.yaml

@@ -18,6 +18,7 @@
                                    # if false, assume the object moves at constant velocity along *all* lanelets it currently is located in.
         predicted_path_min_confidence : 0.1  # when using predicted paths, ignore the ones whose confidence is lower than this value.
         distance_buffer: 1.0 # [m] distance buffer used to determine if a collision will occur in the other lane
+        cut_predicted_paths_beyond_red_lights: true # if true, predicted paths are cut beyond the stop line of red traffic lights
 
       overlap:
         minimum_distance: 0.0  # [m] minimum distance inside a lanelet for an overlap to be considered

planning/behavior_velocity_out_of_lane_module/src/filter_predicted_objects.hpp

@@ -30,15 +30,6 @@
 #include <string>
 #include <vector>
 
-// for writing the svg file
-#include <fstream>
-#include <iostream>
-// for the geometry types
-#include <tier4_autoware_utils/geometry/geometry.hpp>
-// for the svg mapper
-#include <boost/geometry/io/svg/svg_mapper.hpp>
-#include <boost/geometry/io/svg/write.hpp>
-
 namespace behavior_velocity_planner::out_of_lane
 {
 void cut_predicted_path_beyond_line(
@@ -98,23 +89,10 @@ std::optional<const lanelet::BasicLineString2d> find_next_stop_line(
 /// @param [in] planner_data planner data to get the map and traffic light information
 void cut_predicted_path_beyond_red_lights(
   autoware_auto_perception_msgs::msg::PredictedPath & predicted_path,
-  const PlannerData & planner_data, const double object_front_overhang, int i)
+  const PlannerData & planner_data, const double object_front_overhang)
 {
-  // Declare a stream and an SVG mapper
-  std::ofstream svg(
-    "/home/mclement/Pictures/image" + std::to_string(i) + ".svg");  // /!\ CHANGE PATH
-  boost::geometry::svg_mapper<tier4_autoware_utils::Point2d> mapper(svg, 400, 400);
   const auto stop_line = find_next_stop_line(predicted_path, planner_data);
-  lanelet::BasicLineString2d path_ls;
-  for (const auto & p : predicted_path.path) path_ls.emplace_back(p.position.x, p.position.y);
   if (stop_line) cut_predicted_path_beyond_line(predicted_path, *stop_line, object_front_overhang);
-  lanelet::BasicLineString2d cut_path_ls;
-  for (const auto & p : predicted_path.path) cut_path_ls.emplace_back(p.position.x, p.position.y);
-  mapper.add(cut_path_ls);
-  if (stop_line) mapper.add(*stop_line);
-  mapper.map(path_ls, "opacity:0.3;fill:black;stroke:black;stroke-width:2");
-  if (stop_line) mapper.map(*stop_line, "opacity:0.5;fill:black;stroke:red;stroke-width:2");
-  mapper.map(cut_path_ls, "opacity:0.3;fill:red;stroke:red;stroke-width:2");
 }
 
 /// @brief filter predicted objects and their predicted paths
@@ -153,11 +131,10 @@ autoware_auto_perception_msgs::msg::PredictedObjects filter_predicted_objects(
       const auto new_end =
         std::remove_if(predicted_paths.begin(), predicted_paths.end(), is_invalid_predicted_path);
       predicted_paths.erase(new_end, predicted_paths.end());
-      auto i = 0;
-      if (true || params.objects_cut_predicted_paths_beyond_red_lights)
+      if (params.objects_cut_predicted_paths_beyond_red_lights)
         for (auto & predicted_path : predicted_paths)
           cut_predicted_path_beyond_red_lights(
-            predicted_path, planner_data, filtered_object.shape.dimensions.x, i++);
+            predicted_path, planner_data, filtered_object.shape.dimensions.x);
       predicted_paths.erase(
         std::remove_if(
           predicted_paths.begin(), predicted_paths.end(),

planning/behavior_velocity_out_of_lane_module/src/manager.cpp

@@ -51,8 +51,10 @@ OutOfLaneModuleManager::OutOfLaneModuleManager(rclcpp::Node & node)
   pp.objects_min_confidence =
     getOrDeclareParameter<double>(node, ns + ".objects.predicted_path_min_confidence");
   pp.objects_dist_buffer = getOrDeclareParameter<double>(node, ns + ".objects.distance_buffer");
+  pp.objects_cut_predicted_paths_beyond_red_lights =
+    getOrDeclareParameter<bool>(node, ns + ".objects.cut_predicted_paths_beyond_red_lights")
 
-  pp.overlap_min_dist = getOrDeclareParameter<double>(node, ns + ".overlap.minimum_distance");
+      pp.overlap_min_dist = getOrDeclareParameter<double>(node, ns + ".overlap.minimum_distance");
   pp.overlap_extra_length = getOrDeclareParameter<double>(node, ns + ".overlap.extra_length");
 
   pp.skip_if_over_max_decel =