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• W3015856633 abstract "Robotic perception continues to be one of the main challenges in autonomous robotics. Accurate and real-time perception is very important as it constitutes the basis of important tasks such as decision making and control. The latency of the sensing pipeline is a major limiting factor for the agility of a robot. A novel sensor called an event camera has been recently developed to overcome the limitations of traditional frame-based ones. Event cameras mimic the human perception system as they measure the per-pixel intensity change rather than the actual intensity level. This paper presents our initial investigation of this novel sensing modality by building an event-based dynamic multi-cluster tracker. This can constitute a building-block for higher-level event-based multi-object trackers. The clustering algorithm will be experimentally evaluated in different scenarios including its use for mapping." @default.
• W3015856633 created "2020-04-17" @default.
• W3015856633 creator A5029230674 @default.
• W3015856633 creator A5074948543 @default.
• W3015856633 date "2019-07-01" @default.
• W3015856633 modified "2023-09-25" @default.
• W3015856633 title "A Multi-Cluster Tracking Algorithm with an Event Camera" @default.
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• W3015856633 doi "https://doi.org/10.1109/naecon46414.2019.9058204" @default.
• W3015856633 hasPublicationYear "2019" @default.
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