anjianli21 / prediction_based_reachability
For the paper "Prediction-Based Reachability for Collision Avoidance in Autonomous Driving"
☆21Updated 4 years ago
Alternatives and similar repositories for prediction_based_reachability:
Users that are interested in prediction_based_reachability are comparing it to the libraries listed below
- This python package contains scripts needed to train IRL Driver models on HighD datasets. This code is accompanying the paper "Validating…☆18Updated 2 years ago
- In this study model predictive control is applied to a vehicle overtaking slower moving vehicles in a one way, two lane road. A risk map …☆13Updated 3 years ago
- This is the source code for the research paper 'Safety-critical Decision-making and Control for Autonomous Vehicles with Highest Priority…☆17Updated 2 months ago
- Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles☆11Updated last year
- Implementation of interaction and safety-aware motion planning☆27Updated last year
- The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.☆47Updated 2 years ago
- This is the companion code for the method reported in the paper "Learning game-theoretic models of multiagent trajectories using implicit…☆12Updated 4 years ago
- This is official repository for GIN☆17Updated last year
- Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then…☆8Updated last year
- ☆27Updated 3 months ago
- This repo provides a rudimentary implementation of Gaussian Velocity Field.☆21Updated last year
- path planning and speed planning are implemented in this project☆16Updated 2 years ago
- This is the code base for our paper "B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving", which was published at RA-L …☆39Updated last year
- ☆15Updated 5 years ago
- ☆63Updated last year
- (TPAMI) Human-guided Reinforcement Learning with Sim-to-real Transfer for Autonomous Navigation☆23Updated last year
- A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles…☆26Updated 9 months ago
- Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making☆14Updated 2 years ago
- ☆27Updated last year
- A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and…☆34Updated last year
- Code for IROS 2023 paper "A Game-Theoretic Framework for Joint Forecasting and Planning"☆40Updated last year
- a learning-based decision-making algorithm for on-ramp merging☆25Updated last year
- MotionPlanner☆13Updated last year
- Decision Making in Dense Traffic using Deep Q-Learning☆21Updated 4 years ago
- ☆64Updated 2 years ago
- [Implementation of PNAS 2019] Predict SVO by Given Trajectories☆18Updated 2 years ago
- Official codes for paper: An Ensemble Learning Framework for Trajectory Prediction in Interactive Scenarios☆14Updated 2 years ago
- ☆50Updated 4 years ago
- Motion Planning for Autonomous Driving using Model Predictive Control based on CommonRoad Framework.☆49Updated 2 years ago
- Applying Imitation Learning and Reinforcement Learning in Pedestrain Interaction for Autonomous Vehicles && Simulated with CARLA☆13Updated 2 years ago