Detection of raindrops on a windshield from an in-vehicle video camera

被引:0
|
作者
Kurihata, Hiroyuki [1 ]
Takahashi, Tomokazu [1 ]
Ide, Ichiro [1 ]
Mekada, Yoshito [1 ]
Murase, Hiroshi [1 ]
Tamatsu, Yukimasa [2 ]
Miyahara, Takayuki [2 ]
机构
[1] Nagoya Univ, Grad Sch Informat Sci, Chikusa Ku, Nagoya, Aichi, Japan
[2] DENSO CORP, Aichi, Japan
关键词
raidrop detection; in-vehicle camera; time-series information; subspace method;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, We Propose a method to detect raindrops from in-vehicle camera images and recognize rainfall using time-series information. We aim to improve the accuracy of raindrop detection by averaging the test images and frame-matching the result Of raindrop detection in multiple adjoining frames. According to an evaluation experiment, raindrops were detected precisely enough for automatic wiper control by the proposed method.
引用
收藏
页码:1583 / 1591
页数:9
相关论文
共 50 条
  • [41] Preamble Detection for The In-Vehicle System Receiver
    Nader, Majeed
    Li, Yunrui
    Liu, John
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT), 2018, : 902 - +
  • [42] A Survey of Intrusion Detection for In-Vehicle Networks
    Wu, Wufei
    Li, Renfa
    Xie, Guoqi
    An, Jiyao
    Bai, Yang
    Zhou, Jia
    Li, Keqin
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (03) : 919 - 933
  • [43] An intrusion detection method for the in-vehicle network
    Cheng, Anyu
    Peng, Yibo
    Yan, Hao
    Shen, Xiaona
    [J]. PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 4893 - 4899
  • [44] Finding and Indexing Vehicle Maneuvers From Dashboard Camera Video
    Zekany, Stephen A.
    Larsen, Thomas F.
    Dreslinski, Ronald G.
    Wenisch, Thomas F.
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (09) : 16098 - 16109
  • [45] Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data
    Khan, Md Nasim
    Ahmed, Mohamed M.
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2020, 142
  • [46] Intrusion detection system for in-vehicle networks
    Hamada, Yoshihiro
    Inoue, Masayuki
    Adachi, Naoki
    Ueda, Hiroshi
    Miyashita, Yukihiro
    Hata, Yoichi
    [J]. SEI Technical Review, 2019, (88): : 76 - 81
  • [47] FOE-based Regularization for Optical Flow Estimation from an In-vehicle Event Camera
    Nagata, Jun
    Sekikawa, Yusuke
    Hara, Kosuke
    Aoki, Yoshimitsu
    [J]. INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (IWAIT) 2019, 2019, 11049
  • [48] Fog density recognition by in-vehicle camera and millimeter wave radar
    Mori, Kenji
    Takahashi, Tomokazu
    Ide, Ichiro
    Murase, Hiroshi
    Miyahara, Takayuki
    Tamatsu, Yukimasa
    [J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2007, 3 (05): : 1173 - 1182
  • [49] FOE-based regularization for optical flow estimation from an in-vehicle event camera
    Nagata, Jun
    Sekikawa, Yusuke
    Hara, Kosuke
    Aoki, Yoshimitsu
    [J]. ELECTRONICS AND COMMUNICATIONS IN JAPAN, 2020, 103 (1-4) : 19 - 25
  • [50] FOE-based regularization for optical flow estimation from an in-vehicle event camera
    Nagata, Jun
    Sekikawa, Yusuke
    Hara, Kosuke
    Aoki, Yoshimitsu
    [J]. IEEJ Transactions on Electronics, Information and Systems, 2019, 139 (10): : 1113 - 1118