Towards comprehensive understanding of pedestrians for autonomous driving: Efficient multi-task-learning-based pedestrian detection, tracking and attribute recognition-Reference-Cited by-同舟云学术

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Towards comprehensive understanding of pedestrians for autonomous driving: Efficient multi-task-learning-based pedestrian detection, tracking and attribute recognition

Published:2024-01 Issue: Volume:171 Page:104580
ISSN:0921-8890
Container-title:Robotics and Autonomous Systems
language:en
Short-container-title:Robotics and Autonomous Systems

Author:

Zhou Yunfei,Zeng Xiangrui

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference52 articles.

1. Directorate-General for Mobility and Transport, “Road safety in the EU: fatalities in 2021 remain well below pre-pandemic level,” 28 March 2022.

2. World Health Organization. Road safety[J]. 2020.

3. Pedestrians and their phones - detecting phone-based activities of pedestrians for autonomous vehicles;Rangesh,2016

4. Rasouli A., Tsotsos J.K. Joint attention in driver-pedestrian interaction: from theory to practice[J]. arXiv preprint arXiv:1802.02522, 2018.

5. Detecting 32 pedestrian attributes for autonomous vehicles[J];Mordan;IEEE Trans. Intell. Transport. Syst.,2021

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