In this paper we describe a semantic mapping system for autonomous off-road driving with
an All-Terrain Vehicle (ATVs). The system's goal is to provide a richer representation of the …

This paper describes a vision‐based obstacle detection and navigation system for use as
part of a robotic solution for the sustainable intensification of broad‐acre agriculture. To be …

In this paper, a hybrid method based on deep learning is proposed to visually classify
terrains encountered by mobile robots. Considering the limited computing resource on …

(57) ABSTRACT A method estimates free space near a moving object from a sequence of
images in a video acquired of a scene by a camera system arranged on the moving object …

We describe a fully integrated real‐time system for autonomous off‐road navigation that
uses end‐to‐end learning from onboard proprioceptive sensors, operator input, and stereo …

In this paper we investigate SURF features for visual terrain classification for outdoor mobile
robots. The image is divided into a grid and SURF features are calculated on the …

This paper presents an online self-supervised approach to monocular visual odometry and
ground classification applied to ground vehicles. We solve the motion and structure problem …

Reliable terrain analysis is a key requirement for a mobile robot to operate safely in
challenging environments, such as in natural outdoor settings. In these contexts …

Autonomous navigation in unstructured environments is a complex task and an active area
of research in mobile robotics. Unlike urban areas with lanes, road signs, and maps, the …

In this paper, we propose a system which reconstructs the environment with both color and
3D information. We perform extrinsic calibration of a camera and a LRF (laser range finder) …