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Flow-Based Visual Stream Compression for Event Cameras
The introduced method itself is shown to achieve an average compression ratio of 2. 81 on a variety of event-camera datasets with the evaluation configuration used.
hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow
Further, we present hARMS, a hardware realization of the fARMS algorithm allowing for real-time computation of true flow on low-power, embedded platforms.
Neutron-Induced, Single-Event Effects on Neuromorphic Event-based Vision Sensor: A First Step Towards Space Applications
The results show that event-based cameras are capable of functioning in a space-like, radiative environment with a signal-to-noise ratio of 3. 355.
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