Integrating DVS event data into InterFuser through token fusion yields a driving score of 77.2 and 100% route completion on CARLA benchmarks, indicating improved robustness in dynamic conditions.
V2E: from video frames to realistic DVS event camera streams
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SNNF uses an event-based binary image and single-layer SNN to achieve 0.89 AUC in distinguishing signal from noise in DVS while using only 11-40% of the resources of prior filters.
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InterFuserDVS: Event-Enhanced Sensor Fusion for Safe RL-Based Decision Making
Integrating DVS event data into InterFuser through token fusion yields a driving score of 77.2 and 100% route completion on CARLA benchmarks, indicating improved robustness in dynamic conditions.
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SNNF: An SNN-based Near-Sensor Noise Filter for Dynamic Vision Sensors
SNNF uses an event-based binary image and single-layer SNN to achieve 0.89 AUC in distinguishing signal from noise in DVS while using only 11-40% of the resources of prior filters.