4D/RCS sensory processing and world modeling on the Demo III experimental unmanned ground vehicles

The success of the Army Research Lab Demo III project at Ft. Indiantown Gap in November, 2001 suggests that autonomous driving by unmanned ground vehicles under tactical conditions is achievable within this decade. Laser range imaging sensors have been developed to provide dense range images that en...

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Bibliographic Details
Main Authors: Albus, J., Murphy, K., Lacaze, A., Legowik, S., Balakirsky, S., Tsai Hong, Shneier, M., Messina, E.
Format: Conference Proceeding
Language:English
Subjects:
Adaptative systems
Applied sciences
Artificial intelligence
Computer architecture
Computer science
control theory
systems
Control theory. Systems
Data mining
Exact sciences and technology
Land vehicles
Laser modes
Learning and adaptive systems
Military standards
Mobile robots
Path planning
Power system modeling
Remotely operated vehicles
Solid modeling
Online Access:Request full text
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Summary:The success of the Army Research Lab Demo III project at Ft. Indiantown Gap in November, 2001 suggests that autonomous driving by unmanned ground vehicles under tactical conditions is achievable within this decade. Laser range imaging sensors have been developed to provide dense range images that enable autonomous vehicles to build an internal geometric model of the terrain and objects within the environment. Real-time value-based planning algorithms have been developed that enable the autonomous vehicle to replan its intended path through the environment many times per second. The 4D/RCS system architecture has been validated as an open, modular, hierarchical, multi-resolutional integration architecture and design methodology for unmanned ground vehicles.
ISSN:2158-9860
2158-9879
DOI:10.1109/ISIC.2002.1157879