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...
This paper describes a vision-based system for autonomous urban transport missions in outdoor environments. Specialized modules are implemented for particular tasks such as lane t...
In this paper we present a novel approach to mobile robot navigation based on environment representation by statistical models. Natural unstructured scenes are interpreted as real...
— The rapid control of sonar-guided vehicles through obstacle fields has been a goal of robotics for decades. How sensory data is represented strongly affects how obstacles and g...
Isaac is a rule-based language for mobile robots currently under development at NMSU. A successor to Altaira, it replaces Altaira's state-based rules and tile-based navigatio...