Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings-Reference-Cited by-同舟云学术

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Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings

Published:2024-06-02 Issue: Volume:104 Page:674-681
ISSN:
Container-title:2024 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Zhang Chi¹,Sprenger Janis²,Ni Zhongjun³,Berger Christian¹

Affiliation:

1. University of Gothenburg,Department of Computer Science and Engineering,Sweden

2. Saarland Informatics Campus,German Research Center for Artificial Intelligence (DFKI),Germany

3. Linköping University,Department of Science and Technology,Campus Norrköping,Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588752.pdf?arnumber=10588752

Reference31 articles.

1. ROAD USERS' BEHAVIOUR STUDY IN AREAS OF ZEBRA CROSSWALKS

2. Pedestrian Behavior Prediction Using Deep Learning Methods for Urban Scenarios: A Review

3. Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice

4. Social LSTM: Human Trajectory Prediction in Crowded Spaces

5. Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

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