Correlating driver gaze with the road scene for driver assistance systems

被引:55
|
作者
Fletcher, L [1 ]
Loy, G
Barnes, N
Zelinsky, A
机构
[1] Australian Natl Univ, Dept Informat Engn, Canberra, ACT, Australia
[2] Royal Inst Technol, Comp Vis & Act Percept Lab, Stockholm, Sweden
[3] Natl ICT Australia, Autonomous Syst & Sensing Technol, Canberra, ACT, Australia
[4] CSIRO, ICT Ctr, Sydney, NSW, Australia
关键词
driver assistance; sign detection;
D O I
10.1016/j.robot.2005.03.010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A driver assistance system (DAS) should support the driver by monitoring road and vehicle events and presenting relevant and timely information to the driver. It is impossible to know what a driver is thinking, but we can monitor the driver's gaze direction and compare it with the position of information in the driver's viewfield to make inferences. In this way, not only do we monitor the driver's actions, we monitor the driver's observations as well. In this paper we present the automated detection and recognition of road signs, combined with the monitoring of the driver's response. We present a complete system that reads speed signs in real-time, compares the driver's gaze, and provides immediate feedback if it appears the sign has been missed by the driver. (C) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:71 / 84
页数:14
相关论文
共 50 条
  • [41] Detection of Pedestrians in Road Context for Intelligent Vehicles and Advanced Driver Assistance Systems
    Guo, Chunzhao
    Meguro, Junichi
    Kojima, Yoshiko
    Naito, Takashi
    2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC), 2013, : 1161 - 1166
  • [42] Benefits of Advanced Driver Assistance Systems
    Luce, Thomas
    ATZheavy Duty Worldwide, 2022, 15 (04) : 56 - 56
  • [43] Stereo vision in driver assistance systems
    Stiller, C
    Pochmuller, W
    Hurtgen, B
    IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 1997, : 888 - 893
  • [44] Reproducible Testing of Driver Assistance Systems
    Golowko, Kai
    Szolnoki, Dietmar
    Schreiber, Sascha
    ATZ worldwide, 2013, 115 (04) : 24 - 29
  • [45] Adaptation and Personalization in Driver Assistance Systems
    Ponomarev, Andrew
    Chernysheva, Anastasiia
    PROCEEDINGS OF THE 24TH CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT), 2019, : 335 - 344
  • [46] Graceful Degradation for Driver Assistance Systems
    Holzknecht, S.
    Biebl, E.
    Michel, H. U.
    ADVANCED MICROSYSTEMS FOR AUTOMOTIVE APPLICATIONS 2009: SMART SYSTEMS FOR SAFETY, SUSTAINABILITY, AND COMFORT, 2009, : 255 - +
  • [47] A flexible architecture for driver assistance systems
    Handmann, U
    Leefken, I
    Tzomakas, C
    KI-99: ADVANCES IN ARTIFICIAL INTELLIGENCE, 1999, 1701 : 281 - 284
  • [48] Advanced Driver Assistance Systems and Animals
    Bendel O.
    KI - Kunstliche Intelligenz, 2014, 28 (04): : 263 - 269
  • [49] Cambrige Correlator in Driver Assistance Systems
    Harasthy, T.
    Ovsenik, E.
    Turan, Jan
    INFOCOMMUNICATIONS JOURNAL, 2012, 4 (03): : 15 - 21
  • [50] Computer vision for driver assistance systems
    Handmann, U
    Kalinke, T
    Tzomakas, C
    Werner, M
    von Seelen, W
    ENHANCED AND SYNTHETIC VISION 1998, 1998, 3364 : 136 - 147