TY - GEN
T1 - Feature extracted algorithm for simultaneous localization and mapping (SLAM)
AU - Shih, Yan Jhang
AU - Hsu, Chen-Chien James
AU - Wang, Wei-Yen
AU - Wang, Yin Tien
PY - 2015/3/23
Y1 - 2015/3/23
N2 - The problem of SLAM is still a challenging issue. When the number of landmarks increases, the accuracy of the estimated location of the robot decreases. Therefore, current measurement is filtered to avoid wrong landmarks. Then, triangulation is used to update the robot's pose. Simulation results show the success of the proposed algorithm.
AB - The problem of SLAM is still a challenging issue. When the number of landmarks increases, the accuracy of the estimated location of the robot decreases. Therefore, current measurement is filtered to avoid wrong landmarks. Then, triangulation is used to update the robot's pose. Simulation results show the success of the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84936128675&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84936128675&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2015.7066497
DO - 10.1109/ICCE.2015.7066497
M3 - Conference contribution
AN - SCOPUS:84936128675
T3 - 2015 IEEE International Conference on Consumer Electronics, ICCE 2015
SP - 497
EP - 498
BT - 2015 IEEE International Conference on Consumer Electronics, ICCE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Conference on Consumer Electronics, ICCE 2015
Y2 - 9 January 2015 through 12 January 2015
ER -