3 papers
cs.CV2025
Reproducing and Extending RaDelft 4D Radar with Camera-Assisted Labels
Kejia Hu, Mohammed Alsakabi, John M. Dolan +1
Recent advances in 4D radar highlight its potential for robust environment perception under adverse conditions, yet progress in radar semantic segmentation remains constrained by t…
cs.CV2025
The Impact of 2D Segmentation Backbones on Point Cloud Predictions Using 4D Radar
William Muckelroy, Mohammed Alsakabi, John Dolan +1
LiDAR's dense, sharp point cloud (PC) representations of the surrounding environment enable accurate perception and significantly improve road safety by offering greater scene awar…
cs.CV2025
Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach
Mohammed Alsakabi, Aidan Erickson, John M. Dolan +1
We present a cost-effective new approach for generating denser depth maps for Autonomous Driving (AD) and Autonomous Vehicles (AVs) by integrating the images obtained from deep neu…