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Removing the Compute Bottleneck for Event-based Visual Place Recognition with Spiking Neural Networks
Neuromorphic sensing and computing promise low latency and high energy efficiency for robotics, yet most event-based visual place recognition (VPR) pipelines reintroduce dense, frame-like computation downstream of an inherently sparse sensor, forfeiting the sensor's latency advantage. In this paper,
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