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Autonomous_Vehicles.md

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Autonomous Car's standard

  1. NHTSA Standards
    https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/13069a-ads2.0_090617_v9a_tag.pdf

  2. Open Autonomous Safety
    https://oas.voyage.auto

  3. ISO 26262 Standard
    https://www.iso.org/standard/68384.html

  4. Moral Decisions
    https://www.nature.com/articles/s41586-018-0637-6

Architecture

  1. A Lightweight Simulator for Autonomous Driving Motion Planning Development
    https://www.semanticscholar.org/paper/A-Lightweight-Simulator-for-Autonomous-Driving-Gu/207d61ecb75f22dd1b63500b60e90479e5f48489
    Published Year : 2015
    Module : Planning

  3. Towards a Functional System Architecture for Automated Vehicles
    https://arxiv.org/pdf/1703.08557.pdf
    Year : 30 March 2017
    Module : Architecture

  5. Interactive Maneuver Prediction and Planning for Highly Automated Driving Functions
    https://mediatum.ub.tum.de/doc/1324220/427578.pdf
    Year : August 2016
    Module : Architecture + Planning module

  6. Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles
    https://www.sciencedirect.com/science/article/pii/S0888327017303825
    Year : July 2017
    Module : Planning
    Note : The book is not available.

Planning Module

  1. Optimal trajectory generation for dynamic street scenarios in a Frenét Frame
    https://ieeexplore.ieee.org/document/5509799

  2. Behavior and Path Planning Algorithm of Autonomous Vehicle A1 in Structured Environments
    https://ac.els-cdn.com/S1474667015349065/1-s2.0-S1474667015349065-main.pdf?_tid=0c38e85f-01f6-4a12-8ca1-970c30a291f8&acdnat=1546938586_ee7f065e93c20645ff7fb2b39b50d656
    Year : June 2013
    Module : Planning (Behavioral and Planning module)

  3. A Behavioral Planning Framework for Autonomous Driving
    https://www.ri.cmu.edu/pub_files/2014/6/IV2014-Junqing-Final.pdf
    Year : 2014
    Module : Planning (Behavioral Planning Module)

  4. Planning and Decision-Making for Autonomous Vehicles
    https://www.annualreviews.org/doi/pdf/10.1146/annurev-control-060117-105157
    Year : 2018
    Module : Planning

  5. Behavior Trees for decision-making in Autonomous Driving
    http://www.diva-portal.org/smash/get/diva2:907048/FULLTEXT01.pdf

  6. Planning Algorithm : Path Planning with Orientation-Aware Space Exploration Guided Heuristic Search for Autonomous Parking and Maneuvering
    http://www.i6.in.tum.de/Main/Publications/ChenChao2015a.pdf
    Year :

  7. Planning Algorithm - Pure Pursuit : A Path Tracking Method For Autonomous Mobile Robots Based On Grid Decomposition
    http://webpersonal.uma.es/~EPEREZ/files/SIRS99.pdf
    Year :

  8. Improved Trajectory Planning for On-Road Self-Driving Vehicles Via Combined Graph Search, Optimization & Topology Analysis
    https://www.researchgate.net/profile/Tianyu_Gu4/publication/315067229_Improved_Trajectory_Planning_for_On-Road_Self-Driving_Vehicles_Via_Combined_Graph_Search_Optimization_Topology_Analysis/links/58c95c5caca2721e667bc799/Improved-Trajectory-Planning-for-On-Road-Self-Driving-Vehicles-Via-Combined-Graph-Search-Optimization-Topology-Analysis.pdf
    Year : 2017

Prediction module

  1. TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
    https://arxiv.org/pdf/1811.02146.pdf
    17 Dec 2018

  2. Convolutional Social Pooling for Vehicle Trajectory Prediction
    https://arxiv.org/pdf/1805.06771.pdf
    Year : 15 May 2018

  3. How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction
    https://arxiv.org/pdf/1801.06523.pdf
    Published Year : 19th Jan 2018
    Module : Prediction

  4. Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs
    http://cvrr.ucsd.edu/publications/2018/nachiket_IV18.pdf
    Year : 15 May 2018
    Module : Prediction
    Author : Mohan Trivedi

Reinforcement Learning - Autonomous Vehicle

  1. Deep Reinforcement Learning for Autonomous Vehicle Control among Human Drivers Manon Legrand
    https://ai.vub.ac.be/sites/default/files/thesis_legrand.pdf
    Academic year 2016-2017

  2. Learning-based Lane Following and Changing Behaviors for Autonomous Vehicle
    https://pdfs.semanticscholar.org/163d/c2bb0ffa32ef011df09c4ef7e3cc4c24ea35.pdf
    May 17, 2018

  3. Tutorial
    https://towardsdatascience.com/reinforcement-learning-towards-general-ai-1bd68256c72d

  4. Deep Reinforcement Learning framework for Autonomous Driving
    https://arxiv.org/pdf/1704.02532.pdf
    8 April 2017

  5. End to End Learning for Self-Driving Cars
    https://images.nvidia.com/content/tegra/automotive/images/2016/solutions/pdf/end-to-end-dl-using-px.pdf
    Year : 25 April 2016

  6. DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation
    https://arxiv.org/pdf/1801.02805.pdf
    Year : 3 Jan 2019

  7. Deep Reinforcement Learning for Autonomous Driving
    https://arxiv.org/pdf/1811.11329.pdf
    Year : 28 Nov 2018

  8. A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers
    https://arxiv.org/pdf/1804.07871.pdf
    Year : 2018

  9. Learning-based Lane Following and Changing Behaviors for Autonomous Vehicle
    https://pdfs.semanticscholar.org/163d/c2bb0ffa32ef011df09c4ef7e3cc4c24ea35.pdf
    Year : May 17 2018

  10. Autonomous vehicle control via deepreinforcement learning
    http://publications.lib.chalmers.se/records/fulltext/252902/252902.pdf

  11. End-to-End Race Driving with Deep Reinforcement Learning
    https://team.inria.fr/rits/files/2018/02/ICRA18_EndToEndDriving_CameraReady.pdf

Aribitration

  1. Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions https://arxiv.org/pdf/1710.04459.pdf
    Year : 24 September 2018

Object Detection

  1. CubeSLAM: Monocular 3D Object Detection and SLAM without Prior Models (Lidar, Carla)
    https://arxiv.org/pdf/1806.00557.pdf
    https://ieeexplore.ieee.org/document/8100174

  2. Object detection: speed and accuracy comparison (Faster R-CNN, R-FCN, SSD, FPN, RetinaNet and YOLOv3)
    https://medium.com/@jonathan_hui/object-detection-speed-and-accuracy-comparison-faster-r-cnn-r-fcn-ssd-and-yolo-5425656ae359

Reinforcement Learning - General

Robotics

  1. PythonRobotics: a Python code collection of robotics algorithms
    https://arxiv.org/pdf/1808.10703.pdf

Simulator and Github Links

  1. MADRaS : A Multi-Agent DRiving Simulator
    https://software.intel.com/en-us/articles/madras-a-multi-agent-driving-simulator

  2. Udacity : https://github.com/udacity/self-driving-car

  3. Autonomous cars Links : https://github.com/takeitallsource/awesome-autonomous-vehicles#foundations

  4. Car Maker : https://ipg-automotive.com/products-services/simulation-software/carmaker/

  5. Microsoft airsim : https://github.com/Microsoft/AirSim

Useful and Important links

  1. Open Dataset link : https://www.slideshare.net/yuhuang/public-dataset-for-autonomous-driving

Autonomous Vehicle - Datasets

  1. NGSIM Dataset : https://ops.fhwa.dot.gov/trafficanalysistools/ngsim.htm

Useful - Yet to be named

  1. MIT : https://selfdrivingcars.mit.edu/deeptraffic/

Projects

  1. Voyage : https://voyage.auto/