Simulation and Analysis of Particle Filter Based Slam System
Keyword(s):
AbstractThe paper describes a problem and an algorithm for simultaneous localization and mapping (SLAM) for an unmanned aerial vehicle (UAV). The algorithm developed by the authors estimates the flight trajectory and builds a map of the terrain below the UAV. As a tool for estimating the UAV position and other parameters of flight, a particle filter was applied. The proposed algorithm was tested and analyzed by simulations and the paper presents a simulator developed by the authors and used for SLAM testing purposes. Chosen simulation results, including maps and UAV trajectories constructed by the SLAM algorithm are included in the paper.
2010 ◽
Vol 11
(2)
◽
pp. 98-109
◽
2013 ◽
Vol 765-767
◽
pp. 1932-1935
2011 ◽
Vol 23
(2)
◽
pp. 292-301
◽
2015 ◽
Vol 781
◽
pp. 555-558
2018 ◽
Vol 15
(2)
◽
pp. 93
◽
2017 ◽
Vol 36
(12)
◽
pp. 1363-1386
◽