Artificial intelligence and mobile robots: case studies of successful robot systems
Artificial intelligence and mobile robots: case studies of successful robot systems
A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots
Machine Learning - Special issue on learning in autonomous robots
3D Line Voxelization and Connectivity Control
IEEE Computer Graphics and Applications
Springer Handbook of Robotics
Dynamic modeling of a skid-steered wheeled vehicle with experimental verification
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Hi-index | 0.00 |
This paper presents a method to detect three dimensional (3D) objects using an occupancy grid based mapping technique. This paper adapts the 3D occupancy grid based mapping technique from the two dimensional (2D) occupancy grid based mapping technique commonly used in Simultaneous Localization and Mapping applications. The 3D occupancy mapping technique uses a 3D inverse measurement model and has been developed for a LIDAR based off-road ground rover vehicle that drives on 3D terrain. The technique is developed and simulated in MATLAB to demonstrate its 3D object detection capabilities. This technique was developed as part of off-road autonomous vehicle research being conducted at the University of Waterloo.