Research in autonomous driving has benefited from a number of visual datasets collected
from mobile platforms, leading to improved visual perception, greater scene understanding …

Autonomous navigation in cross-country environments presents many new challenges with
respect to more traditional, urban environments. The lack of highly structured components in …

This paper introduces novel methods for terrain classification and characterization with a
mobile robot. In the context of this paper, terrain classification aims at associating terrains …

In future planetary exploration missions, improvements in autonomous rover mobility have
the potential to increase scientific data return by providing safe access to geologically …

This paper describes a stereo vision–based system for autonomous navigation in maritime
environments. The system consists of two key components. The Hammerhead vision system …

This article presents a robust approach to navigating at high speed across desert terrain. A
central theme of this approach is the combination of simple ideas and components to build a …

This paper introduces a comparison of training algorithms of radial basis function (RBF)
neural networks for classification purposes. RBF networks provide effective solutions in …

This paper describes the design, implementation, and experimental results of a navigation
system for planetary rovers called Terrain Adaptive Navigation (TANav). This system was …

This paper presents an environment-detection-and-map** algorithm for autonomous
driving that is provided in real time and for both rural and off-road environments …

When working alongside human collaborators in dynamic environments such as a disaster
recovery, an unmanned ground vehicle (UGV) may require fast field adaptation to perform its …