VibES: Induced Vibration for Persistent Event-Based Sensing

• URL: http://arxiv.org/abs/2508.19094v1
• Date: Tue, 26 Aug 2025 14:58:51 GMT
• Title: VibES: Induced Vibration for Persistent Event-Based Sensing
• Authors: Vincenzo Polizzi, Stephen Yang, Quentin Clark, Jonathan Kelly, Igor Gilitschenski, David B. Lindell,
• Abstract summary: Event cameras are a bio-inspired class of sensors that asynchronously measure per-pixel intensity changes.<n>We introduce a lightweight approach to sustain persistent event generation by employing a simple rotating unbalanced mass.<n>This is combined with a motion-compensation pipeline that removes the injected motion and yields clean, motion-corrected events.
• Score: 31.402804369924052
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Event cameras are a bio-inspired class of sensors that asynchronously measure per-pixel intensity changes. Under fixed illumination conditions in static or low-motion scenes, rigidly mounted event cameras are unable to generate any events, becoming unsuitable for most computer vision tasks. To address this limitation, recent work has investigated motion-induced event stimulation that often requires complex hardware or additional optical components. In contrast, we introduce a lightweight approach to sustain persistent event generation by employing a simple rotating unbalanced mass to induce periodic vibrational motion. This is combined with a motion-compensation pipeline that removes the injected motion and yields clean, motion-corrected events for downstream perception tasks. We demonstrate our approach with a hardware prototype and evaluate it on real-world captured datasets. Our method reliably recovers motion parameters and improves both image reconstruction and edge detection over event-based sensing without motion induction.

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