Autonomous Driving Multi-Task Perception Algorithm Based on Receptive-Field Attention Convolution

被引：0
|
作者：
Liu, Yunxiang [1 ]
Ma, Haili [1 ]
Zhu, Jianlin [1 ]
Zhang, Qing [1 ]
Jin, Qi [1 ]
机构：
[1] School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai,201418, China
来源：
Computer Engineering and Applications | 2024年 / 60卷 / 20期
关键词：
30;
D O I：
10.3778/j.issn.1002-8331.2312-0110
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：133 / 141
相关论文
共 50 条
  • [21] GDMNet: A Unified Multi-Task Network for Panoptic Driving Perception
    Liu, Yunxiang
    Ma, Haili
    Zhu, Jianlin
    Zhang, Qiangbo
    CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 80 (02): : 2963 - 2978
  • [22] DRMNet: A Multi-Task Detection Model Based on Image Processing for Autonomous Driving Scenarios
    Zhao, Jiandong
    Wu, Di
    Yu, Zhixin
    Gao, Ziyou
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (12) : 15341 - 15355
  • [23] WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
    Yogamani, Senthil
    Hughes, Ciaran
    Horgan, Jonathan
    Sistu, Ganesh
    Varley, Padraig
    O'Dea, Derek
    Uricar, Michal
    Milz, Stefan
    Simon, Martin
    Amende, Karl
    Witt, Christian
    Rashed, Hazem
    Chennupati, Sumanth
    Nayak, Sanjaya
    Mansoor, Saquib
    Perrotton, Xavier
    Perez, Patrick
    2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019, : 9307 - 9317
  • [24] Enhanced feature extraction YOLO industrial small object detection algorithm based on receptive-field attention and multi-scale features
    Tao, Hongfeng
    Zheng, Yuechang
    Wang, Yue
    Qiu, Jier
    Stojanovic, Vladimir
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (10)
  • [25] Ehsinet: Efficient High-Order Spatial Interaction Multi-task Network for Adaptive Autonomous Driving Perception
    Jianjun Yao
    Yingzhao Li
    Chongjun Liu
    Ruizhuo Tang
    Neural Processing Letters, 2023, 55 : 11353 - 11370
  • [26] Ehsinet: Efficient High-Order Spatial Interaction Multi-task Network for Adaptive Autonomous Driving Perception
    Yao, Jianjun
    Li, Yingzhao
    Liu, Chongjun
    Tang, Ruizhuo
    NEURAL PROCESSING LETTERS, 2023, 55 (08) : 11353 - 11370
  • [27] A Multi-Task Road Feature Extraction Network with Grouped Convolution and Attention Mechanisms
    Zhu, Wenjie
    Li, Hongwei
    Cheng, Xianglong
    Jiang, Yirui
    SENSORS, 2023, 23 (19)
  • [28] Face Detection Based on Receptive Field Enhanced Multi-Task Cascaded Convolutional Neural Networks
    Li, Xiaochao
    Yang, Zhenjie
    Wu, Hongwei
    IEEE ACCESS, 2020, 8 (08): : 174922 - 174930
  • [29] Scalable Parallel Task Scheduling for Autonomous Driving Using Multi-Task Deep Reinforcement Learning
    Qi, Qi
    Zhang, Lingxin
    Wang, Jingyu
    Sun, Haifeng
    Zhuang, Zirui
    Liao, Jianxin
    Yu, F. Richard
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (11) : 13861 - 13874
  • [30] Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving
    Liang, Xiwen
    Wu, Yangxin
    Han, Jianhua
    Xu, Hang
    Xu, Chunjing
    Liang, Xiaodan
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,
12345