Modeling Interaction-Aware Driving Behavior using Graph-Based Representations and Multi-Agent Reinforcement Learning-Reference-Cited by-同舟云学术

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Modeling Interaction-Aware Driving Behavior using Graph-Based Representations and Multi-Agent Reinforcement Learning

Published:2023-09-24 Issue: Volume:25 Page:1643-1650
ISSN:
Container-title:2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Konstantinidis Fabian¹,Sackmann Moritz¹,Hofmann Ulrich¹,Stiller Christoph²

Affiliation:

1. Pre-Development of Automated Driving, CARIAD SE,Wolfsburg,Germany,38440

2. Institute of Measurement and Control Systems,Karlsruhe In-stitute of Technology (KIT),Karlsruhe,Germany,76131

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422230.pdf?arnumber=10422230

Reference35 articles.

1. Automated Driving in Uncertain Environments: Planning With Interaction and Uncertain Maneuver Prediction

2. Carla: An open urban driving simulator;Dosovitskiy,2017

3. General Lane-Changing Model MOBIL for Car-Following Models

4. Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity

5. Deep neural networks for Markovian interactive scene prediction in highway scenarios

Cited by 1 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. Graph-Based Adversarial Imitation Learning for Predicting Human Driving Behavior;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

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