Stereo Vision Enhancements for Low-Cost Outdoor Autonomous Vehicles
Abstract
The contemporary implementation of software systems for off-road navigation on conventional computing involves a continuous struggle to develop more computationally efficient algorithms. A basic trade-off exists between system performance and reliability for any given level of efficiency of the software. Hence, the only way to improve both performance and reliability is to improve the computational efficiency of the underlying algorithms. Dense stereo vision algorithms can easily exhaust almost all available computer cycles and are therefore prime candidates for the development of more efficient approaches. This paper presents some techniques that can be used to improve the efficiency and/or reliability of dense stereo for off road autonomous vehicles.
BibTeX
@workshop{Kelly-1998-14659,author = {Alonzo Kelly and Anthony (Tony) Stentz},
title = {Stereo Vision Enhancements for Low-Cost Outdoor Autonomous Vehicles},
booktitle = {Proceedings of ICRA '98 Workshop WS-7: Navigation of Outdoor Autonomous Vehicles},
year = {1998},
month = {May},
}