In the vehicle to vehicle(V2V)communication based on optical camera communication(OCC)system,how to achieve high reliability and low latency communication is still a problem.In this paper,we propose a lightweight light-emitting diode(LED)detection algorithm based on deep learning to detect the vehicle LED position at different communication distances,which can improve LED detection accuracy and inference speed.In addition,we design an LED segmentation recognition algorithm to reduce the bit error rate(BER)of the vehicle OCC system.The experimental results demonstrate the effectiveness of the proposed algorithms in real traffic scenes.
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机译:Research from Hyderabad in the Area of Optical Character Recognition Described (An Efficient Deep Learning Model with Interrelated Tagging Prototype with Segmentation for Telugu Optical Character Recognition)
机译:Findings on Pattern Recognition and Artificial Intelligence Discussed by Investigators at Department of Electronics and Telecommunications (Multiple-object Detection and Segmentation Based On Deep Learning In High-resolution Video Using …)