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首页> 外文期刊>日本ロボット学会誌 >Environmental map generation and egomotion estimation in a dynamic environment for an omnidirectional image sensor
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Environmental map generation and egomotion estimation in a dynamic environment for an omnidirectional image sensor

机译:全向图像传感器在动态环境中的环境图生成和自我运动估计

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摘要

Generation of an environmental map is one of important tasks for robot navigation. We have proposed a method to generate a static environmental map and estimate the egomotion of a robot by using an omnidirectional image sensor, based on theassumption of unknown translational motions of the robot. However, since both robot and objects move in the environment, the map generation and the robot egomotion estimation by using a single camera are difficult because of ambiguity of correspondencecaused by occlusion. In this paper, we improve our previous method for treating applicable to a dynamic environment. The method can detect a moving object and find occlusion and mismatching by evaluating estimation error of each objects location.
机译:环境图的生成是机器人导航的重要任务之一。基于机器人的未知平移运动的假设,我们提出了一种使用全向图像传感器生成静态环境图并估计机器人的自我运动的方法。但是,由于机器人和物体都在环境中移动,因此由于遮挡引起的对应性不明确,因此难以通过单个摄像机进行地图生成和机器人自我估计。在本文中,我们改进了适用于动态环境的先前处理方法。该方法可以通过估计每个物体位置的估计误差来检测运动物体并找到遮挡和失配。

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