Self-Supervised Optical Flow with Spiking Neural Networks and Event Based Cameras
Optical flow can be leveraged in robotic systems for obstacle detection where low latency solutions are critical in highly dynamic settings. While event-based cameras have changed the dominant paradigm of sending by encoding stimuli into spike trails, offering low bandwidth and latency, events are s...
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Published in | 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) pp. 5892 - 5899 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
27.09.2021
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Subjects | |
Online Access | Get full text |
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