Integrating Off-Board Cameras and Vehicle On-Board Localization for Pedestrian Safety

被引:15
|
作者
Borges, Paulo Vinicius Koerich [1 ]
Zlot, Robert [1 ]
Tews, Ashley [1 ]
机构
[1] CSIRO, ICT Ctr, Autonomous Syst Lab, Pullenvale, Qld 4069, Australia
关键词
Autonomous vehicles; computer vision; pedestrian detection;
D O I
10.1109/TITS.2012.2235431
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Situational awareness for industrial vehicles is crucial to ensure safety of personnel and equipment. While human drivers and onboard sensors are able to detect obstacles and pedestrians within line-of-sight, in complex environments, initially occluded or obscured dynamic objects can unpredictably enter the path of a vehicle. We propose a system that integrates a vision-based offboard pedestrian tracking subsystem with an onboard localization and navigation subsystem. This combination enables warnings to be communicated and effectively extends the vehicle controller's field of view to include areas that would otherwise be blind spots. A simple flashing light interface in the vehicle cabin provides a clear and intuitive interface to alert drivers of potential collisions. Alternatively, the system can be also applied to vehicles that have autonomous navigation capabilities, in which case, instead of alert lights, the vehicle is halted or redirected. We implemented and tested the proposed solution on an automated industrial vehicle under autonomous operation and on a human-driven vehicle in a full-scale production facility, over a period of four months.
引用
收藏
页码:720 / 730
页数:11
相关论文
共 50 条
  • [1] Development strategy for on-board, off-board and, remote diagnostics
    Schlingmann, Norbert
    [J]. CONFERENCE: AGRICULTURAL ENGINEERING 2007, 2007, 2001 : 259 - 264
  • [2] Grid based fusion of off-board cameras
    Yguel, Manuel
    Aycard, Olivier
    Raulo, David
    Laugier, Christian
    [J]. 2006 IEEE INTELLIGENT VEHICLES SYMPOSIUM, 2006, : 278 - +
  • [3] Off-board and on-board data combined to acquire JS']JSF targets
    不详
    [J]. MICROWAVE JOURNAL, 2001, 44 (01) : 59 - 59
  • [4] Quadrocopter control using an on-board video system with off-board processing
    Bosnak, Matevz
    Matko, Drago
    Blazic, Saso
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2012, 60 (04) : 657 - 667
  • [5] Driver's Behavior Assessment by On-board/Off-board Video Context Analysis
    Ciardelli, Lorenzo
    Beoldo, Andrea
    Pasini, Francesco
    Regazzoni, Carlo
    [J]. TRENDS IN APPLIED INTELLIGENT SYSTEMS, PT II, PROCEEDINGS, 2010, 6097 : 450 - +
  • [6] On the use of calibration for pedestrian detection in on-board vehicular cameras
    Fuhr, Gustavo
    Jung, Claudio R.
    de Paula, Mauricio B.
    [J]. 2016 29TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 2016, : 80 - 87
  • [7] Pose Estimation for Multicopters Based on Off-Board Multiple Cameras
    Fu, Qiang
    Mu, Xinxing
    He, Wei
    [J]. 2019 IEEE 4TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2019), 2019, : 611 - 615
  • [8] Localization of ahead vehicles with on-board stereo cameras
    Zanin, Michele
    [J]. 14TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS, 2007, : 111 - +
  • [9] On-board and Off-board performance of hydrogen storage options for light-duty vehicles
    Ahluwalia, R. K.
    Hua, T. Q.
    Peng, J. K.
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2012, 37 (03) : 2891 - 2910
  • [10] off-board power
    Davies, D.
    [J]. ELECTRONICS LETTERS, 2012, 48 (15) : 891 - 891