scholarly journals Ground Plane Obstacle Detection of Stereo Vision under Variable Camera Geometry Using Neural Nets.

Author(s):  
Y Shao ◽  
JEW Mayhew ◽  
SD Hippisley-Cox
1989 ◽  
Author(s):  
Y. Zheng ◽  
D. G. Jones ◽  
S. A. Billings ◽  
J. E. W. Mayhew ◽  
J. P. Frisby

2011 ◽  
Vol 48-49 ◽  
pp. 749-752 ◽  
Author(s):  
Xing Zhe Xie ◽  
Heng Wang ◽  
Qian You Luo

This paper employs Bumblebee2 stereo vision system to detect the obstacles for patrol robot in substation environment. Firstly, with the selected points in the disparity image, the ground plane is calculated by the RANSAC (Random Sample Consensus) algorithm. And then, the local occupancy grid map is built for patrol robot, and the obstacles are detected through connected component analysis method. The actual test in substation environment verified the reliability of the system.


1990 ◽  
Vol 8 (1) ◽  
pp. 57-62 ◽  
Author(s):  
Y Zheng ◽  
DG Jones ◽  
SA Billings ◽  
JEW Mayhew ◽  
JP Frisby

BMVC92 ◽  
1992 ◽  
pp. 548-559
Author(s):  
Stuart Cornell ◽  
John Porrill ◽  
John E. W. Mayhew

Sign in / Sign up

Export Citation Format

Share Document