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Vision Based Solution for Auto-Maneuvering of Vehicle for Emerging Market

机译:基于视觉的新兴市场自动机动的解决方案

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Advance Active Safety Systems play a preventive role in mitigating crashes and accidents by providing warning, additional assistance to the driver and maneuverability of vehicle by itself. Some of the features include forward collision warning system and lane departure warning system activate a warning alert when potentially dangerous situations are detected. These active safety features present in developed markets work with Fusion based algorithm combining Radar, Lidar, Camera, Ultrasonic sensor’s input. Application of these algorithms are Intelligent Cruise Control, Collision avoidance, parking assistance, identify pedestrian etc. The complexity of the algorithm, cost of the control unit and road infrastructure are hindrance to emerging market. The solution presented in this paper is towards camera-based solution, describing the method to determine the predictive path, that is obstacle free space and use the predictive space to navigate or steer. This paper focuses on vehicle maneuverability in poor road infrastructure (lane irregularities or no lane marking) by using only cameras.
机译:推进主动安全系统通过向驾驶员提供警告,对车辆的驾驶员和机动性的额外援助来发挥预防作用。一些功能包括前进碰撞警告系统和车道出发警告系统在检测到潜在的危险情况时激活警告警报。开发市场存在的这些活跃的安全功能与雷达,激光雷达,相机,超声波传感器的输入相结合的基于融合的算法。这些算法的应用是智能巡航控制,碰撞避免,停车辅助,识别行人等算法的复杂性,控制单元和道路基础设施的成本是新兴市场的障碍。本文呈现的解决方案是基于相机的解决方案,描述了确定预测路径的方法,即障碍物的空间,并使用预测空间导航或转向。本文侧重于仅使用相机的贫困道路基础设施(车道不规则性或没有车道标记)的车辆机动性。

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