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Towards safer roads by integration of road scene monitoring and vehicle control

机译:通过整合道路现场监控和车辆控制来实现更安全的道路

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In this paper we introduce the Smart Cars Project at the Australian National University/National ICT Australia, together with a discussion and an example of a driver assistance system. We present a framework for interactive driver assistance systems that includes techniques for fast-speed sign detection and classification, obstacle detection and tracking applied to pedestrian detection, and lane departure warning. In addition, the driver's actions are monitored. The integrated system uses information extracted from the road scene (speed signs, position within the lane, relative position to other cars, etc.) together with information about the driver's state, such as eye gaze and head pose, to issue adequate warnings. A touch screen monitor is used to present relevant information and allow the driver to interact with the system. The research is focused around robust algorithms that are able to run on-line. Results of on-line speed sign detection and pedestrian detection are presented in the context of a driver assistance system.
机译:在本文中,我们介绍了澳大利亚国立大学/澳大利亚国家信息通信技术学院的“智能汽车项目”,以及驾驶员辅助系统的讨论和示例。我们为交互式驾驶员辅助系统提供了一个框架,该框架包括用于快速标志检测和分类,应用于行人检测的障碍物检测和跟踪以及车道偏离警告的技术。另外,还监视驾驶员的动作。该集成系统使用从道路场景中提取的信息(速度标志,车道内的位置,相对于其他汽车的相对位置等)以及有关驾驶员状态的信息(例如视线和头部姿势)发出适当的警告。触摸屏监视器用于显示相关信息,并允许驾驶员与系统进行交互。该研究集中于能够在线运行的强大算法。在线速度标志检测和行人检测的结果在驾驶员辅助系统的上下文中显示。

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