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sensor-fusion

topic2 events
papersTODAY 04:00 UTC

Sensory Precision Inference Proposed for Multimodal Arbitration in Agents

A new arXiv preprint introduces a method for autonomous agents to weigh sensory modalities against each other when inputs are noisy, incomplete, or contradictory. The approach infers how reliable each stream is and uses that estimate to arbitrate between modalities rather than assuming all sensors are equally trustworthy. The work targets robustness in real-world environments where sensory data quality varies over time.

agents/multimodal/uncertainty/arxiv
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