48 search results - page 5 / 10 » Long-Term learning using multiple models for outdoor autonom... |
FSR
2003
Springer
14 years 26 days ago
2003
Springer
Current methods for off-road navigation using vehicle and terrain models to predict future vehicle response are limited by the accuracy of the models they use and can suffer if th...
ICML
1996
IEEE
14 years 8 months ago
1996
IEEE
Autonomous mobile robots need good models of their environment, sensors and actuators to navigate reliably and efficiently. While this information can be supplied by humans, or le...
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
— To operate outdoors or on non-flat surfaces, mobile robots need appropriate data structures that provide a compact representation of the environment and at the same time suppo...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
— A novel probabilistic online learning framework for autonomous off-road robot navigation is proposed. The system is purely vision-based and is particularly designed for predict...
ICRA
2006
IEEE
14 years 1 months ago
2006
IEEE
— Mobile robots do not adequately represent the objects in their environment; this weakness hinders a robot’s ability to utilize past experience. In this paper, we describe a s...