Our method gives a noticeable improvement in accuracy for classifying similar terrain classes over the current state of the art that uses only texture for ...
Abstract— Autonomous terrain classification is an important requirement for robotic applications for the outdoor and more so for off-road systems.
This work presents an approach which combines the two approaches and delivers an overall increase in performance and accuracy for autonomous terrain ...
Abstract—Autonomous terrain classification is an important requirement for robotic applications for the outdoor and more so for off-road systems.
Our method gives a noticeable improvement in accuracy for classifying similar terrain classes over the current state of the art that uses only texture for ...
Syed Muhammad Abbas, Abubakr Muhammad, Syed Atif Mehdi, Karsten Berns: Improvements in accuracy of single camera terrain classification. ICAR 2013: 1-6.
Our approach provides a rich source of terrain information, yet requires only a single camera, relatively little processing of visual data, and is ...
Mar 29, 2017 · We propose an optimum pipeline and develop the hybrid representation to produce an effective and efficient visual terrain classification ...
Abstract—This paper presents a novel algorithm for terrain type classification based on monocular video captured from the viewpoint of human locomotion.
NOAH-H, a deep-learning, terrain classification system for Mars
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Jan 1, 2022 · Pixel-scale accuracy is generally good, but qualitative evaluation shows the model is more reliable on a landscape scale. •. Care should be ...