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To achieve fully autonomous operation for indoor Mobile Robot. Localization solution has become an active research topic in the past decade. Normally a localization system is required to be reliable, fast, and have high accuracy. But single UWB measurement is very discrete and you can not get the exact orientation of the mobile robot. To overcome these shortcomings, we propose a novel UWB/Gyroscope/Odometer-integrated system, in which UWB measures the distance between the tag and the base station through Time of Flight and then calculating the tag position through the triangulation algorithm. Gyroscope and odometer can get the angular and linear velocity of mobile robot respectively. Which can provide accurate short-term tracking performance. The results of multi-sensor are fused using an Extended Kalman Filter (EKF). The experiment results also show that the algorithm significantly improved accuracy and get reliable yaw angle. © 2018 IEEE.
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Year: 2018
Page: 839-843
Language: English
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 4
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 6
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