Home /Research /Data Links Enhanced Relative Navigation for Robotic Formation Applications
PERCEPTION

Data Links Enhanced Relative Navigation for Robotic Formation Applications

Ning Hao, Rui Xing, Haodi Yao, Fenghua He, Yu Yao

Year
2020
Citations
2

Abstract

With the rapid development and widespread application of robotic formation, relative navigation problem has attracted extensive attention. In this paper, the relative navigation problem for robotic formation applications is investigated, for which, we provide a relative navigation method based on multi-sensor fusion. First of all, a data links enhanced relative navigation scheme is proposed. Secondly, the underlying estimation problem behind the relative navigation scheme is derived. Then, a recursive relative navigation algorithm based on maximum a posterior estimation is provided for different multi-sensor combinations. Finally, simulation experiments are performed to show the effectiveness of the proposed relative navigation method.

Keywords

Computer scienceScheme (mathematics)Navigation systemSensor fusionRelative motionRelative velocityReal-time computingArtificial intelligenceComputer visionMathematics

Related papers

Browse all PERCEPTION papers