Pedestrian tracking algorithm for autonomous driving

被引：0
|
作者：
Li, Zhi-Hui [1 ]
Zhong, Tao [1 ]
Zhao, Yong-Hua [2 ]
Hu, Yong-Li [1 ]
Li, Hai-Tao [1 ]
Zhao, Jing-Wei [3 ]
机构：
[1] College of Transportation, Jilin University, Changchun,130022, China
[2] Public Computer Education and Research Center, Jilin University, Changchun,130022, China
[3] Traffic Police Division of Public Security Bureau, Changchun,130000, China
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2019年 / 49卷 / 03期
关键词：
D O I：
10.13229/j.cnki.jdxbgxb20180201
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：680 / 687
相关论文
共 50 条
  • [1] Geometric Path Tracking Algorithm for Autonomous Driving in Pedestrian Environment
    Andersen, Hans
    Chong, Zhuang Jie
    Eng, You Hong
    Pendleton, Scott
    Ang, Marcelo H., Jr.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2016, : 1669 - 1674
  • [2] A Pedestrian Multi-object Tracking Algorithm based on CenterTrack for Autonomous Driving
    Yan, Chenyang
    Xu, Cheng
    Yuan, Runxue
    Li, Mingxing
    Li, Xuewei
    Liu, Hongzhe
    [J]. 2022 INTERNATIONAL CONFERENCE ON VIRTUAL REALITY, HUMAN-COMPUTER INTERACTION AND ARTIFICIAL INTELLIGENCE, VRHCIAI, 2022, : 189 - 194
  • [3] Research on Pedestrian Multi-Object Tracking Algorithm for Intelligent Driving
    Yan, Chenyang
    Liu, Hongzhe
    Xu, Cheng
    Li, Xuewei
    [J]. Computer Engineering and Applications, 2023, 59 (15) : 206 - 213
  • [4] Reactive Trajectory Planning and Tracking for Pedestrian-Aware Autonomous Driving in Urban Environments
    Cofield, Robert G.
    Gupta, Rakesh
    [J]. 2016 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2016, : 747 - 754
  • [5] A Reinforcement Learning approach for pedestrian collision avoidance and trajectory tracking in autonomous driving systems
    Russo, Luigi
    Terlizzi, Mario
    Tipaldi, Massimo
    Glielmo, Luigi
    [J]. 5TH CONFERENCE ON CONTROL AND FAULT-TOLERANT SYSTEMS (SYSTOL 2021), 2021, : 44 - 49
  • [6] Multispectral pedestrian detection in autonomous driving: A review
    Li, Yuting
    [J]. IEIE Transactions on Smart Processing and Computing, 2021, 10 (01): : 10 - 16
  • [7] Advanced Pedestrian Dataset Augmentation for Autonomous Driving
    Vobecky, Antonin
    Uricar, Michal
    Hurych, David
    Skoviera, Radoslav
    [J]. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), 2019, : 2367 - 2372
  • [8] Pedestrian Models for Autonomous Driving Part I: Low-Level Models, From Sensing to Tracking
    Camara, Fanta
    Bellotto, Nicola
    Cosar, Serhan
    Nathanael, Dimitris
    Althoff, Matthias
    Wu, Jingyuan
    Ruenz, Johannes
    Dietrich, Andre
    Fox, Charles W.
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (10) : 6131 - 6151
  • [9] MRPT: Millimeter-Wave Radar-Based Pedestrian Trajectory Tracking for Autonomous Urban Driving
    Zhang, Zhenyuan
    Wang, Xiaojie
    Huang, Darong
    Fang, Xin
    Zhou, Mu
    Zhang, Ying
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [10] An Improved Multi-object Tracking Algorithm for Autonomous Driving Based on DeepSORT
    Zhou, Xin
    Cui, Jianxun
    Qu, Mingcheng
    [J]. 2022 IEEE 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION ENGINEERING, ICITE, 2022, : 176 - 184
12345