Untrained Vehicle Speed Estimation via Homography Solver
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Solution Overview
Problem
Existing speed estimation systems for vehicles using CCTV cameras require calibration and are limited to flat, straight roadways, making them impractical for widespread or dynamic traffic monitoring.
Innovation Solution
A speed estimation system that determines vehicle speed without camera calibration, using a solver module to calculate homography based on bounding boxes in images, employing an optimization algorithm assuming a planar surface and square pixels, and utilizing a Transformer architecture for accurate speed estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera calibration is used for speed estimation, then measurement precision is improved, but device complexity and ease of operation worsen due to required calibration procedures
Solution Approach 1:
The system performs self-calibration by automatically determining the homography matrix from detected vehicle bounding boxes and road geometry features in the video stream, eliminating the need for manual camera calibration procedures while maintaining speed estimation accuracy
2Measurement precision
If traditional camera systems are used for traffic monitoring, then measurement precision is improved, but device complexity and installation difficulty worsen
Solution Approach 1:
The patent extracts and utilizes only the essential visual features (vehicle bounding boxes and road geometry) from video streams to compute speed estimates, eliminating the need for complex calibrated camera systems while maintaining measurement precision through a simplified computational approach
3Measurement precision
If calibrated camera systems are deployed, then measurement precision is improved, but adaptability worsens due to limitation to flat and straight roadways
Solution Approach 1:
The system dynamically adapts to different road geometries by computing the homography matrix from observed vehicle motion and road features in each scene, allowing accurate speed estimation on curved, inclined, or uneven roadways without requiring pre-calibration for specific road configurations
Data Source
AI summary
A speed estimation system includes: a detection module configured to determine bounding boxes of an object moving on a surface in images, respectively, captured using a camera; a solver module configured to, based on the bounding boxes, determine a homography of the surface by solving an optimization problem, where the solver module is not trained; and a speed module configured to, using the homography, determine a speed that the object is moving on the surface.