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• W4366259369 abstract "Sensor technology has impacted and transformed several commercial and military industries, from automotive to defense, to personal security applications. Adopting Computer Vision techniques such as Object Detection helps boost the system's capabilities in tracking and classification. A previous study looked at optimizing a Radar System that relied on the processing power of the Raspberry Pi 4. Since the Raspberry Pi 4 is not an ideal device for a real-time environment, this experiment aims to improve on that aspect by utilizing the processing power of the Jetson TX2 to boost the system's speed and reduce latency between the Object Detection and Velocity calculation. The experiment will be repeated using the Jetson hardware to mimic the same scenarios in common tracking and surveillance systems." @default.
• W4366259369 created "2023-04-20" @default.
• W4366259369 creator A5036106251 @default.
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• W4366259369 date "2023-03-08" @default.
• W4366259369 modified "2023-10-14" @default.
• W4366259369 title "Sensor Tracking System using Radar and Object Detection" @default.
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• W4366259369 doi "https://doi.org/10.1109/ccwc57344.2023.10099126" @default.
• W4366259369 hasPublicationYear "2023" @default.
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