Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control-Reference-Cited by-同舟云学术

Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
language:
Short-container-title:

Author:

Gupta Piyush¹,Isele David²,Lee Donggun³,Bae Sangjae²

Affiliation:

1. Michigan State University,East Lansing,MI,USA,48824

2. Honda Research Institute,San Jose,CA,USA,95134

3. Massachusetts Institute of Technology,Cambridge,MA,USA,02139

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160890.pdf?arnumber=10160890

Reference29 articles.

1. Drogon: A causal reasoning frame-workfor future trajectory forecast;choi;Proceedings of the Conferenceon Robot Learning 2020,2020

2. Driving in Dense Traffic with Model-Free Reinforcement Learning

3. Lane-change in dense traffic with model predictive control and neural networks;bae;IEEE Transactions on Control Systems Technology,2022

4. Social gan: Socially acceptable trajectories with generative adversarial networks;gupta;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2018

5. Towards Physically Adversarial Intelligent Networks (PAINs) for Safer Self-Driving

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Leveraging Cooperative Intent and Actuator Constraints for Safe Trajectory Planning of Autonomous Vehicles in Uncertain Traffic Scenarios;Actuators;2024-07-10

2. Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

4. MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

5. Multi-Robot Cooperative Navigation in Crowds: A Game-Theoretic Learning-Based Model Predictive Control Approach;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13