Title :
Road edge and obstacle detection on the SmartGuard navigation system
Author :
Li Li ; Binhai Wang ; Haipeng Wang ; Jingjing Zhang ; Yiqi Luan ; Wanguo Wang ; Rui Guo
Author_Institution :
State Grid Shandong Electr. Power Res. Inst., Shandong Luneng Intell. Technol. Co., Ltd., Jinan, China
Abstract :
This paper discusses an application of the IPM (inverse perspective mapping) geometrical transform on the inspection power robot (SmartGuard). The SmartGuard is an autonomous robotic system for inspection substation equipment instead of people. Based on the stereo vision system, we proposed a Vision base road edge and obstacle detection system. Firstly, we construct the IPM( Inverse perspective mapping) structure from the vision system structure and the road plane in the substation. Secondly, make the monocular image transform of IPM, and get the edge of the road based on the line detection. Thirdly, do the stereo images IPM, based the transformed images, detect the different of the stereo remapping images to get the probable obstacle. Continues, we give a hypothesis testing obstacle detection approach to make the obstacle information more exactly. At last, we make the 2D map both the road edge and obstacle which could provide enough information for the robot navigation in the substation.
Keywords :
edge detection; inspection; mobile robots; robot vision; stereo image processing; substation automation; 2D map; IPM geometrical transform; SmartGuard navigation system; autonomous robotic system; hypothesis testing obstacle detection approach; inspection power robot; inspection substation equipment; inverse perspective mapping structure; line detection; monocular image transform; obstacle information; road plane; robot navigation; stereo remapping images; stereo vision system; vision base road edge detection; vision system structure; Cameras; Image edge detection; Roads; Robot kinematics; Substations; Transforms; Inverse perspective mapping; Obstacle detection; SmartGuard; Steteo vision;
Conference_Titel :
Applied Robotics for the Power Industry (CARPI), 2014 3rd International Conference on
Conference_Location :
Foz do Iguassu
Print_ISBN :
978-1-4799-6420-8
DOI :
10.1109/CARPI.2014.7030037