A deep learning-based approach to line crossing prediction for lane change maneuver of adjacent target vehicles

被引：0
|
作者：
Liu, Xulei [1 ]
Jin, Ge [2 ]
Wang, Yafei [1 ]
Yin, Chengliang [1 ]
机构：
[1] School of Mechanical Engineering, Shanghai Jiao Tong University, Shang Hai, China
[2] School of ParisTech, Shanghai Jiao Tong University, Shang Hai, China
来源：
2021 IEEE International Conference on Mechatronics, ICM 2021 | 2021年
关键词：
Number:; 2020YFSY0058; Acronym:; -; Sponsor: Sichuan Province Science and Technology Support Program; 52072243; NSFC; Sponsor: National Natural Science Foundation of China;
D O I：
9385665
中图分类号：
学科分类号：
摘要：
Deep neural networks
引用
收藏
相关论文
共 50 条
  • [41] Lane change model of vehicles based on a hybrid system approach
    Sone, Yuta
    Kojima, Akira
    2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017, 2017, 2017-November : 85 - 89
  • [42] Deep Learning-Based Approach for Heat Transfer Efficiency Prediction with Deep Feature Extraction
    Shi, Yuanhao
    Li, Mengwei
    Wen, Jie
    Yang, Yanru
    Zeng, Jianchao
    ACS OMEGA, 2022, 7 (35): : 31013 - 31035
  • [43] Gradient-Based Edge Effects on Lane Marking Detection using a Deep Learning-Based Approach
    Noor Jannah Zakaria
    Mohd Ibrahim Shapiai
    Hilman Fauzi
    Hossamelden Mohamed Amin Elhawary
    Wira Jazair Yahya
    Mohd Azizi Abdul Rahman
    Khairil Anwar Abu Kassim
    Irfan Bahiuddin
    Mohd Hatta Mohammed Ariff
    Arabian Journal for Science and Engineering, 2020, 45 : 10989 - 11006
  • [44] Lane Change Model of Vehicles Based on a Hybrid System Approach
    Sone, Yuta
    Kojima, Akira
    2017 56TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2017, : 85 - 89
  • [45] Deep Learning-Based Recognition of Underwater Target
    Cao, Xu
    Zhang, Xiaomin
    Yu, Yang
    Niu, Letian
    2016 IEEE INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP), 2016, : 89 - 93
  • [46] Learning-Based Multi-missile Maneuver Penetration Approach
    Yan, Peng
    Guo, Jifeng
    Zheng, Hongxing
    Bai, Chengchao
    PROCEEDINGS OF 2022 INTERNATIONAL CONFERENCE ON AUTONOMOUS UNMANNED SYSTEMS, ICAUS 2022, 2023, 1010 : 3772 - 3780
  • [47] Hybrid lane change strategy of autonomous vehicles based on SOAR cognitive architecture and deep reinforcement learning
    Zhou, Rongliang
    Cao, Haotian
    Huang, Jiakun
    Song, Xiaolin
    Huang, Jing
    Huang, Zhi
    NEUROCOMPUTING, 2025, 611
  • [48] Intersection Crossing for Autonomous Vehicles based on Deep Reinforcement Learning
    Chen, Wei-Lun
    Lee, Kwan-Hung
    Hsiung, Pao-Ann
    2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW), 2019,
  • [49] How to approach machine learning-based prediction of drug/compound–target interactions
    Heval Atas Guvenilir
    Tunca Doğan
    Journal of Cheminformatics, 15
  • [50] Data-based Vehicle Trajectory Prediction Model for Lane-change Maneuver
    Choi, Wansik
    Ahn, Changsun
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2024, 22 (05) : 1654 - 1665
12345