UrbanPose: A New Benchmark for VRU Pose Estimation in Urban Traffic Scenes-Reference-Cited by-同舟云学术

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UrbanPose: A New Benchmark for VRU Pose Estimation in Urban Traffic Scenes

Published:2021-07-11 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Intelligent Vehicles Symposium (IV)
language:
Short-container-title:

Author:

Wang Sijia,Yang Diange,Wang Baofeng,Guo Zijie,Verma Rishabh,Ramesh Jayanth,Weinrich Christoph,Kressel Ulrich,Flohr Fabian B.

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9575127/9575130/09575469.pdf?arnumber=9575469

Cited by 7 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. Open Questions in VRU Standards from Security and Privacy Perspectives;2023 IEEE Conference on Standards for Communications and Networking (CSCN);2023-11-06

2. CineTransfer: Controlling a Robot to Imitate Cinematographic Style from a Single Example;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

3. Behavior-Aware Pedestrian Trajectory Prediction in Ego-Centric Camera Views with Spatio-Temporal Ego-Motion Estimation;Machine Learning and Knowledge Extraction;2023-08-03

4. Traffic Light and Uncertainty Aware Pedestrian Crossing Intention Prediction for Automated Vehicles;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04

5. Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving;2023 IEEE Intelligent Vehicles Symposium (IV);2023-06-04

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