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Multi-layer occupancy grid mapping for autonomous vehicles navigation

机译:用于自动驾驶汽车导航的多层占用网格映射

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摘要

Perception of the surrounding is a crucial task in most of the autonomous driving scenarios. For this reason most vehicles are equipped with a broad range of sensors like lidar, radar, cameras and ultrasound to sense the space around the car. On the other end, planning algorithms need a simple and usable representation of the obstacle around. One of the biggest drawbacks of such a wide range of sensors is the need to resolve conflicting information and identify false positives. What we propose in this paper is an effective framework for sensor fusion and occupancy grid creation capable of retrieving a uniform representation of the ambient around the vehicle and able to handle conflictual information from different sensors.
机译:在大多数自动驾驶场景中,感知周围环境都是至关重要的任务。因此,大多数车辆都配备了多种传感器,例如激光雷达,雷达,照相机和超声波,以感应汽车周围的空间。另一方面,规划算法需要简单易用的障碍物表示。如此广泛的传感器的最大缺点之一是需要解决冲突的信息并识别误报。我们在本文中提出的是一个有效的传感器融合和乘员网格创建框架,该框架能够检索车辆周围环境的统一表示,并能够处理来自不同传感器的冲突信息。

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