AINeutralarXiv – CS AI · 18h ago6/10
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Eyes All Around: Design and Analysis of 360-Degree LiDAR Perception Using Equivariant Feature Learning in Unstructured Traffic
Researchers present a 360-degree LiDAR perception system for autonomous driving that uses rotation equivariant feature learning to handle dense, unstructured urban traffic. Tested on a custom dataset from Indian urban environments, the system achieves strong performance on larger vehicles but struggles with smaller, more variable road users like pedestrians and motorcyclists.