TL;DR
This paper introduces a smartphone-based vehicle speed detection method using computer vision, employing the LBP cascade classifier to track vehicle displacement and estimate speed accurately.
Contribution
It presents a novel approach combining smartphone cameras and OpenCV for real-time vehicle speed measurement with validated accuracy.
Findings
Speeds measured are proportional to ground truth speeds.
Method achieves accurate speed estimation using displacement and conversion coefficients.
Utilizes LBP cascade classifier for vehicle detection.
Abstract
The report presents the measurement of vehicular speed using a smartphone camera. The speed measurement is accomplished by detecting the position of the vehicle on a camera frame using the LBP cascade classifier of OpenCV API, the displacement of the detected vehicle with time is used to compute the speed. Conversion coefficient is determined to map the pixel displacement to actual vehicle distance. The speeds measured are proportional to the ground truth speeds.
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Taxonomy
TopicsVehicle License Plate Recognition · Autonomous Vehicle Technology and Safety · IoT and GPS-based Vehicle Safety Systems
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings