Autonomous Mobile Robots: Perception, mapping, and navigationS. Sitharama Iyengar, Alberto Elfes |
Contents
INTRODUCTION | 1 |
Structure from Stereo A Review | 25 |
The Stanford Cart and the CMU Rover | 47 |
Copyright | |
13 other sections not shown
Common terms and phrases
algorithm angle applications approach Artificial Intelligence autonomous boundary calibration camera CAMR Computational Geometry computer vision Conf constraints convex convex polygons coordinate corresponding covariance covariance matrix Cspace defined depth map described detection disparity distance dynamic edge environment equations error estimate Figure function Gaussian geometric global height map IEEE IEEE Trans Intell intersection Kalman filter laser line segments linear matching matrix measurements method mobile robot motion planning moving multisensor node Occupancy Grid operation optical flow optimal path orientation parameters path planning pixel plane polygonal polyhedral position problem Proc range data range finder range image regions representation represented Robotics and Automation rotation scene Section sensor data Sensor Fusion shortest path sonar space spatial Step stereo strategy subgoal subgoal-edge pair surface techniques terrain tion trajectory uncertainty updated vector vertex vertices visibility graph Voronoi diagram world model