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Title	Low-Power Traffic Surveillance Using Multiple Rgb And Event Cameras: A Survey
ID_Doc	35765
Authors	Fleck T.; Pavlitska S.; Nitzsche S.; Pachideh B.; Peccia F.; Ahmed S.H.; Meyer S.M.; Richter M.; Broertjes K.; Neftci E.; Becker J.; Bringmann O.; Marius Zollner J.
Year	2023
Published	Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023
DOI	http://dx.doi.org/10.1109/ISC257844.2023.10293592
Abstract	Smart city intersections may support connected automated vehicles in the future and are the core of intelligent traffic management and control. In this work, we consider the traffic surveillance task in multi-camera and event-camera setups at road intersections with a focus on efficient edge computation. We give an overview over different aspects of such systems from the literature, including relevant recognition tasks, architectures, benchmark datasets and algorithms with a focus on their properties like real-time capability and energy consumption where possible. © 2023 IEEE.
Author Keywords	artificial intelligence; connected automated driving; energy efficiency; event-based camera; low power; neuromorphic computing; smart infrastructure; traffic surveillance

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