Autonomous navigation in cross-country environments presents many new challenges with respect to more traditional, urban environments. The lack of highly structured components in t...
Roberto Manduchi, Andres Castano, A. Talukder, Lar...
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
This paper presents a method to process axial monocular image sequences for mobile robot obstacle detection. We do not aim to achieve a complete scene reconstruction, but only to ...
- This paper presents a global method to process monocular image sequences for mobile robot obstacle detection. We do not aim to achieve a complete scene reconstruction, but only t...
This paper presents a trinocular stereo algorithm that we have developed as part of an obstacle detection system that detects small obstacles at long range on the highway. We desc...
Detection of obstacles for autonomous vehicles is more difficult when the terrain is not locally planar and remains an open problem. We have developed an approach suited for obsta...
We explore the use of a shoe-mounted camera as a sensory system for wearable computing. We demonstrate tools useful for gait analysis, obstacle detection, and context recognition....
— We present in this article a simple method to estimate an IPM view from an embedded camera. The method is based on the tracking of the road markers assuming that the road is lo...
Abstract— The unstructured nature of cross-country environments poses a great deal of challenges to obstacle detection algorithms. This paper presents an algorithm able to perfor...