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https://github.com/ShenoyVaradaraya/awesome-papers-of-autonomous-driving


https://github.com/ShenoyVaradaraya/awesome-papers-of-autonomous-driving

List: awesome-papers-of-autonomous-driving

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README 

        
# awesome-papers-of-autonomous-driving

![Alt Text](https://static01.nyt.com/images/2017/05/26/business/26wheels-top/26wheels-top-superJumbo.gif)

![Alt Text](https://j.gifs.com/rR66g2.gif)



# Motion Planning 

![Alt Text](https://developer-blogs.nvidia.com/wp-content/uploads/2020/01/auto-social-drive-labs-localization-5-seconds.gif)



1) A Formal Basis for the Heuristic Determination of Minimum Cost Paths (A* algorithm)  

2) D* Lite

3) The D* algorithm for Real-Time Planning of Optimal Traverses

4) Path planning on grid maps with unknown goal poses

5) Practical Search Techniques in Path Planning for Autonomous Driving

6) Path Planning in

Unstructured Environments 

7) Rapidly-Exploring Random Trees: A New Tool for Path Planning

8) Informed RRT*: Optimal Sampling-based Path Planning Focused via Direct Sampling of an Admissible Ellipsoidal Heuristic

9) Theta*: Any-Angle Path Planning on Grids

10) Feedback Enhanced Motion Planning for Autonomous Vehicles

11) Coverage Path Planning: The Boustrophedon Cellular Decomposition

12) Fields2Cover: An open-source coverage path planning library for unmanned agricultural vehicles

13) ON CURVES OF MINIMAL LENGTH WITH A CONSTRAINT ON AVERAGE CURVATURE, AND WITH PRESCRIBED INITIAL AND TERMINAL POSITIONS AND TANGENTS (Dubins Curves)

14) OPTIMAL PATHS FOR A CAR THAT GOES BOTH FORWARDS AND BACKWARDS (Reeds Shepp Curves)

15) Optimal Trajectory Generation for Dynamic Street Scenarios in a Frenet Frame

16) Kinodynamic  Motion  Planning

17) The Dynamic Window Approach to Collision Avoidance

18) State Space Sampling of Feasible Motions for High-Performance Mobile Robot Navigation in Complex Environments

19)  Trajectory modification considering dynamic constraints of autonomous robots

20) Real-Time Obstacle Avoidance for Manipulators and Mobile Robots 

21) Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy

22) Real-Time Collision Detection

23) Probabilistic Roadmaps for Path Planning in High-Dimensional Configuration Spaces

24) Local Path Planning And Motion Control For Agv In Positioning

25) Roadmap-Based Path Planning - Using the Voronoi Diagram for a Clearance-Based Shortest Path

26) Time Dependent Planning on a Layered Social Cost Map for Human-Aware Robot Navigation

27) A Real-Time Motion Planner with Trajectory Optimization for Autonomous Vehicles

28) Efficient Path Planing for Articulated Vehicles in Cluttered Environments

29) R* Search

30) Improved Fast Replanning for Robot Navigation in Unknown Terrain



# Control 

1) An Intelligent Predictive Controller for Autonomous Vehicles

2) A Waypoint Tracking Controller for Autonomous

Road Vehicles Using ROS Framework

3) Model Predictive Motion Control of Autonomous

Forklift Vehicles with Dynamics Balance Constraint



# Multi-Robot Systems 

1) Decentralized Traffic Control for Non-Holonomic Flexible Automated Guided Vehicles in Industrial Environments

2) Towards Decentralized Coordination of Multi Robot Systems in Industrial Environments: a Hierarchical Traffic Control Strategy

3) Research Challenges and Opportunities in Multi-Agent Path Finding and Multi-Agent Pickup and Delivery Problems

4) Goal Assignment using Distance Cost in Multi-Robot Exploration



# Perception 

1) PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

2) Detection and Tracking of Pallets using a Laser Rangefinder and Machine Learning Techniques

3) Bayesian Generalized Kernel Inference for Terrain Traversability Mapping

4)  Enabling Flow Awareness for Mobile Robots in Partially Observable Environments 



# Ethics 

1) Autonomous Driving Technical, Legal and Social Aspects 



# Past Projects 

![Alt Text](https://iliad-project.eu/wp-content/uploads/2016/05/ILIAD-1-e1491249847738.jpg)

1) ILIAD Project : Intra-Logistics with Integrated Automatic Deployment for safe and scalable fleets in shared spaces.