SOURCE-LINKED INTELLIGENCE
Event-Frame Fusion for Inter-Frame Segmentation via Event-Guided Motion
Autonomous navigation requires precise and efficient semantic segmentation, yet existing frame-based approaches remain limited by motion blur, glare, latency, and the low temporal resolution (20-30 FPS) of conventional cameras, which leads to information loss between frames. Event cameras have emerged as an alternative sensing modality, capturing intensity changes asynchronously with high temporal resolution, high dynamic range, and sparse outputs. However, event-based algorithms still fall short of frame-based ones in accuracy, as most segmentation methods are designed for dense frame data. T
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T19:02:38.000Z
First collected: 2026-09-23T12:01:45.602Z. This is not the publication date.