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