HIGHLIGHTS
- who: Anas Charroud and collaborators from the Laboratory of Engineering Sciences, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Coventry , FB, UK have published the article: XDLL: Explained Deep Learning LiDAR-Based Localization and Mapping Method for Self-Driving Vehicles, in the Journal: Electronics 2023, 12, 567. of 17/01/2023
- what: The authors propose a framework architecture of explaining learning LiDAR-based (XDLL) models that predicts the position of the vehicles by using only a few LiDAR points in the environment which ensures the required fastness and accuracy of interactions between vehicle components . . .
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