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Autonomous Navigation of a Mobile Robot Based on GNSS/DR Integration in Outdoor Environments

机译:户外环境下基于GNSS / DR集成的移动机器人自主导航

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This paper describes the development of a mobile robot system and an outdoor navigation method based on global navigation satellite system (GNSS) in an autonomous mobile robot navigation challenge, called the Tsukuba Challenge, held in Tsukuba, Japan, in 2011 and 2012. The Tsukuba Challenge promotes practical technologies for autonomous mobile robots working in ordinary pedestrian environments. Many teams taking part in the Tsukuba Challenge used laser scanners to determine robot positions. GNSS was not used in localization because its positioning has multipath errors and problems in availability. We propose a technique for realizing multipath mitigation that uses an omnidirectional IR camera to exclude "invisible" satellites, i.e., those entirely obstructed by a building and whose direct waves therefore are not received. We applied GPS/dead reckoning (DR) integrated based on observation data from visible satellites determined by the IR camera. Positioning was evaluated during Tsukuba Challenge 2011 and 2012. Our robot ran the 1.4 km course autonomously and evaluation results confirmed the effectiveness of our proposed technique and the feasibility of its highly accurate positioning.
机译:本文描述了在2011年和2012年于日本筑波举行的自动移动机器人导航挑战(称为筑波挑战)中基于全球导航卫星系统(GNSS)的移动机器人系统和户外导航方法的发展。挑战促进了在普通行人环境中工作的自主移动机器人的实用技术。许多参加筑波挑战赛的团队使用激光扫描仪来确定机器人的位置。 GNSS未用于本地化,因为其定位存在多径错误和可用性问题。我们提出了一种用于实现多径缓解的技术,该技术使用全向红外热像仪来排除“不可见”卫星,即那些完全被建筑物遮挡且因此未接收到直接波的卫星。我们应用了基于红外摄像头确定的可见卫星的观测数据集成的GPS /航位推算(DR)。在2011年筑波挑战赛和2012年筑波挑战赛中对定位进行了评估。我们的机器人自主运行了1.4公里的路线,评估结果证实了我们提出的技术的有效性以及高度精确定位的可行性。

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