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Autonomous Vehicles for Outdoor Multidomain Mapping

机译:用于室外多域映射的自动驾驶汽车

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In the last years, progress has been made attempting to replace a unique, complex and expensive vehicle equipped with several sensors such as LIDAR, RGB cameras, thermal sensor, etc. with a group of small vehicles, each of them carrying one sensor. There are several advantages of these segmented architectures, for instance this allows a reduction in the cost of the vehicles (several small vehicles can be less expensive than one big vehicle), the flexibility to choose for a mission only those vehicles with the appropriate sensors, the robustness of the system since it can acquire information even if one vehicle fails, among others. The advantage of segmented architectures is even more noticeable if the vehicles carrying those different sensors, have different characteristics or environments for operations, e.g. aerial, terrestrial or aquatic vehicles. In this work, we present the experimental results obtained with an ASV (Autonomous Surface Vehicle) and a UAV (Unmanned Aerial Vehicle) that cooperate to obtain a topographic survey of the terrain. The ASV is equipped with a LIDAR, meanwhile the UAV is equipped with a monocular RGB camera. The data acquired is post-processed in order to obtain a detailed map of the coastline of a creek and the surrounding area.
机译:在过去的几年中,尝试用一组小型车辆代替配备有多个传感器(例如LIDAR,RGB摄像头,热传感器等)的独特,复杂且昂贵的车辆方面取得了进展,这些小型车辆中的每一辆都装有一个传感器。这些分段式架构具有多个优势,例如,这可以降低车辆的成本(几个小型车辆的价格可能比一辆大型车辆便宜),可以灵活地选择仅具有适当传感器的车辆执行任务,该系统具有强大的鲁棒性,因为即使一辆车辆发生故障,它也可以获取信息。如果携带这些不同传感器的车辆具有不同的操作特性或环境,例如分段式架构,则分段架构的优势将更加明显。空中,陆地或水上交通工具。在这项工作中,我们介绍了通过ASV(自动水面飞行器)和UAV(无人飞行器)合作获得的实验结果,以获取地形的地形图。 ASV配备了激光雷达,而无人机则配备了单眼RGB摄像机。对获得的数据进行后处理,以获得小河海岸线和周边地区的详细地图。

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