Back to Search Start Over

L-AVATeD: The lidar and visual walking terrain dataset.

Authors :
Whipps, David
Ippersiel, Patrick
Dixon, Philippe C.
Source :
Frontiers in Robotics & AI; 2024, p1-6, 6p
Publication Year :
2024

Abstract

The article discusses the importance of assistive robotic technologies for individuals with disabilities, focusing on the challenges related to gait and mobility. It highlights the need for accurate classification of walking terrains to enhance the control systems of exoskeletons and prostheses. The authors introduce L-AVATeD, a novel dataset that captures visual and LiDAR images of various walking terrains, providing valuable data for researchers and engineers working on gait analysis and robotic prostheses. The dataset includes detailed descriptions of terrain types, data collection methods, and post-processing techniques, aiming to improve the understanding and classification of walking terrains for diverse applications. [Extracted from the article]

Details

Language :
English
ISSN :
22969144
Database :
Complementary Index
Journal :
Frontiers in Robotics & AI
Publication Type :
Academic Journal
Accession number :
181727020
Full Text :
https://doi.org/10.3389/frobt.2024.1384575