N-DriverMotion: Driver Motion Learning and Prediction Using an Event-Based Camera and Directly Trained Spiking Neural Networks on Loihi 2

N-DriverMotion: Driver Motion Learning and Prediction Using an Event-Based Camera and Directly Trained Spiking Neural Networks on Loihi 2

Driver motion recognition is a key factor in ensuring the safety of driving systems. This paper presents a novel system for learning and predicting driver motions, along with an event-based (720 × 720) dataset, N-DriverMotion, newly collected to train a neuromorphic vision system. The sys...

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Bibliographic Details
Main Authors: Hyo Jong Chung, Byungkon Kang, Yoon Seok Yang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
Driver motion
directly trained
event-based camera
gesture recognition
intel loihi 2
motion learning and prediction
Online Access:https://ieeexplore.ieee.org/document/10763457/
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https://ieeexplore.ieee.org/document/10763457/

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