Title :
Vision based battery exchange robots for electric vehicle
Author :
Shen, Hao ; Wang, Xin ; Wang, Jun ; Xie, Yong ; Wang, Wei
Author_Institution :
Dept. of Intell. Robot., Harbin Inst. of Technol., Shenzhen, China
Abstract :
The short continues driving mileage is always the bottleneck of the electric vehicle (EV) development. Compared to battery recharge, battery exchange has several distinct advantages such as time saving for EV replenishment and low impulse load for the Power Network. In this paper, a vision-based robot was used to deal with the battery swapping work for the electric bus. The Scale Invariant Feature Transform (SIFT) is used for automatic detecting the spatial location of the battery based on images captured by a single camera mounted on the battery swapping robot. The experimental results has proved the robustness of the SIFT algorithm.
Keywords :
battery powered vehicles; cameras; invariance; mobile robots; robot vision; transforms; EV development; SIFT algorithm; automatic detection; battery recharge; battery swapping robot; battery swapping work; driving mileage; electric bus; electric vehicle development; image capturing; low impulse load; power network; scale invariant feature transform; single camera; spatial location; vision-based battery exchange robots; Batteries; Electric vehicles; Machine vision; Robot kinematics; Supervisory control; Battery Exchange; Electric Vehicle; SIFT; Vision;
Conference_Titel :
Mechatronics and Automation (ICMA), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-1275-2
DOI :
10.1109/ICMA.2012.6285734
