Pedestrian Trajectory Prediction for Autonomous Vehicle by Integrating IA-LSTM and MSFM-Reference-Cited by-同舟云学术

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Pedestrian Trajectory Prediction for Autonomous Vehicle by Integrating IA-LSTM and MSFM

Published:2023-10-27 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 7th CAA International Conference on Vehicular Control and Intelligence (CVCI)
language:
Short-container-title:

Author:

Chen Hao¹,Wei Chongfeng²,Liu Yinhua¹,Hu Chuan³,Lu Jushou¹,Zhang Xi³

Affiliation:

1. University of Shanghai for Science and Technology,School of Mechanical Engineering,Shanghai,China

2. Queen's University Belfast,School of Mechanical and Aerospace Engineering,Belfast,England

3. Shanghai Jiao Tong University,School of Mechanical Engineering,Shanghai,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10392285/10397090/10397142.pdf?arnumber=10397142

Reference18 articles.

1. Using road topology to improve cyclist path prediction

2. Vehicle Trajectory Prediction by Integrating Physics- and Maneuver-Based Approaches Using Interactive Multiple Models

3. An Efficient Edge Artificial Intelligence MultiPedestrian Tracking Method With Rank Constraint

4. Driver and Pedestrian Mutual Awareness for Path Prediction and Collision Risk Estimation

5. Pedestrian path prediction based on body language and action classification

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