2 papers
eess.SY2025
Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving
Gharbi Khamis Alshammari, Ahmad Abubakar, Nada M. O. Sid Ahmed +1
Autonomous Vehicles (AVs) require precise lane and object detection to ensure safe navigation. However, centralized deep learning (DL) approaches for semantic segmentation raise pr…
cs.RO2024
SlipNet: Enhancing Slip Cost Mapping for Autonomous Navigation on Heterogeneous and Deformable Terrains
Mubarak Yakubu, Yahya Zweiri, Ahmad Abubakar +3
Autonomous space rovers face significant challenges when navigating deformable and heterogeneous terrains due to variability in soil properties, which can lead to severe wheel slip…