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Leading vehicle detection for forward collision warning and driver monitoring

Leading vehicle detection for forward collision warning and driver monitoring
领先的车辆检测,用于前方碰撞警告和驾驶员监控
批准号:
523143-2018
负责人:
Laganière, Robert
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

项目成果

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中文摘要
翻译
由Viewnyx开发的Lookout驾驶安全系统可以持续观察卡车前方的道路,根据驾驶员的活动拍摄视频,并对危险驾驶情况发出警告。目的是通过解决导致碰撞的主要原因:驾驶失误、分心和困倦,帮助车队车主降低驾驶责任成本。该系统**为安全经理提供司机和车队风险评估报告和工具,以促进主动指导和**培训,以消除高风险行为。Viewnyx希望通过增加一个基于摄像头的物体检测功能来扩展Lookout单元的功能,以识别车辆路径上的物体,并评估与它们的距离以及它们相对于车辆的速度。这将使系统能够提供新的功能,如向前碰撞警告和识别高风险行为,如驾驶过于靠近前面的车辆。该项目的目的是为“瞭望”单元开发一种原型车辆探测和测距能力,使Viewnyx能够评估添加该功能的可行性,并为将该功能完全集成到“瞭望”系统中奠定基础。
英文摘要
The Lookout Driving Safety System developed by Viewnyx continuously views the road in front of a truck, capturing videos based**upon driver activity and generating warnings for dangerous driving situations. The objective is to assist fleet owners in lowering**their driving liability costs by addressing the main cause of collisions: driving error, distraction and drowsiness. The system**provides provides Safety Managers with driver and fleet risk assessment reports and tools to facilitate proactive coaching and**training to eliminate high-risk behaviours. Viewnyx is looking to expand the functionality of the Lookout unit by adding a camerabased**object detection capability to identify objects in the path of the vehicle and assess the distance to them and their speed**relative to the vehicle. This would enable the system to provide new functionality such as forward collision warning and**identification of high risk behaviours such as driving too close to the vehicle in front. The aim of this project would be to develop a**prototype vehicle detection and ranging capability for the Lookout unit that would allow Viewnyx to assess the feasibility of adding**this functionality and form the basis for the full integration of this functionality into the Lookout system.
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  • 项目类别:
    Alliance Grants
  • 资助金额:
    $2.19万
  • 财政年份:
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  • 负责人:
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  • 项目类别:
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  • 资助金额:
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  • 资助金额:
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