Vehicle speed measurement model for video-based systems
| Autor: | Saleh Javadi, Mats I. Pettersson, Mattias Dahl |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Measure (data warehouse)
General Computer Science Computational complexity theory Computer science business.industry Real-time computing 020206 networking & telecommunications Probability density function 02 engineering and technology Electrical Engineering Electronic Engineering Information Engineering Control and Systems Engineering Proof of concept Intelligent transportation systems Machine vision Motion analysis Pattern recognition Speed measurement system Component (UML) Assisted GPS 0202 electrical engineering electronic engineering information engineering Global Positioning System 020201 artificial intelligence & image processing Electrical and Electronic Engineering business Elektroteknik och elektronik Intelligent transportation system |
| Popis: | Advanced analysis of road traffic data is an essential component of today's intelligent transportation systems. This paper presents a video-based vehicle speed measurement system based on a proposed mathematical model using a movement pattern vector as an input variable. The system uses the intrusion line technique to measure the movement pattern vector with low computational complexity. Further, the mathematical model introduced to generate the pdf (probability density function) of a vehicle's speed that improves the speed estimate. As a result, the presented model provides a reliable framework with which to optically measure the speeds of passing vehicles with high accuracy. As a proof of concept, the proposed method was tested on a busy highway under realistic circumstances. The results were validated by a GPS (Global Positioning System)-equipped car and the traffic regulations at the measurement site. The experimental results are promising, with an average error of 1.77 % in challenging scenarios. open access |
| Databáze: | OpenAIRE |
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