Learned trafficability models
Learned trafficability models
- Neue Suche nach: Digney, Bruce L.
- Neue Suche nach: Digney, Bruce L.
While clearly necessary, geometric information is not sufficient to insure successful navigation in outdoor environments. Many barriers to navigation cannot be represented in a three dimensional geometric model alone. Barriers such as soft ground, snow, mud, loose sand, compliant vegetation, debris hidden in vegetation and annoyances such as small ruts and washboard effects do not appear in geometric representations. The difficulty of offline specification and changing nature of terrain characteristics requires that solutions be capable of learning without prior information and able to adapt as environmental conditions change. This paper will discuss the ongoing and proposed work the Learned Trafficability Models (LTMs) program at the Defence Research Establishment Suffield (DRES) of the Canadian Department of National Defence.
Dokumentinformationen
Learned trafficability models
Unmanned Ground Vehicle Technology III ; 2001 ; Orlando,FL,United States
Proc. SPIE ; 4364
2001-09-20
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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