Research on multi-sensor data fusion algorithm for unmanned vehicles under extreme conditions

Aiming at the problem of insufficient accuracy in Simultaneous Localization and Mapping of vehicle robot using a single sensor in extreme environment scenes, according to the characteristics of the sensors, a method of fusing the data of lidar and inertial sensors is proposed, the vehicle robot syst...

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Vydané v:	Journal of physics. Conference series Ročník 1952; číslo 3; s. 32001 - 32008
Hlavný autor:	Zhang, Ruiqi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bristol IOP Publishing 01.06.2021
Predmet:	Algorithms Data integration Extreme environment Extreme environments Inertial sensing devices Kalman filter Kalman filters Lidar Multisensor fusion Physics Robots sensor fusion Sensors Unmanned vehicles
ISSN:	1742-6588, 1742-6596
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