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papersSEP 12 04:00 UTC

Multi-Modal Perception Pipeline Targets Detection and Tracking in Autonomous Racing

A revised arXiv paper presents a multi-modal perception pipeline aimed at object detection and tracking for autonomous racing vehicles. The work addresses robustness challenges such as degraded visibility, sensor noise, and sensor failures that remain difficult for driving perception systems. It falls under the cs.AI category and appears as a replacement submission.

autonomous-driving/perception/object-detection/arxiv