An Adaptive Local Context Extraction Method for Motion Prediction and Planning-Reference-Cited by-同舟云学术

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An Adaptive Local Context Extraction Method for Motion Prediction and Planning

Published:2023-06-09 Issue: Volume: Page:128-133
ISSN:
Container-title:2023 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)
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Author:

Sun Jiawei¹,Liu Tingchen¹,Yuan Chengran¹,Sun Shuo¹,Wong Anthony²,Tee Keng Peng²,Ang Marcelo H.¹

Affiliation:

1. National University of Singapore,Mechanical Engineering,Singapore

2. MooVita,Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10370007/10370008/10370750.pdf?arnumber=10370750

Reference20 articles.

1. Predicting Risky Driving in a Connected Vehicle Environment

2. Interactive Trajectory Prediction Using a Driving Risk Map-Integrated Deep Learning Method for Surrounding Vehicles on Highways

3. An Integrated Approach to Maneuver-Based Trajectory Prediction and Criticality Assessment in Arbitrary Road Environments

4. EPSILON: An Efficient Planning System for Automated Vehicles in Highly Interactive Environments

5. MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction

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. The Optimal Horizon Model Predictive Control Planning for Autonomous Vehicles in Dynamic Environments;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

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