Vehicle Classification and Speed Estimation Based on a Single Magnetic Sensor

Gaussian Mixture Model-Based Speed Estimation and Vehicle Classification Using Single-Loop Measurements

9 Traffic speed and length-based vehicle classification data are critical inputs for traffic operations, 10 pavement design and maintenance, and transportation planning. However, they cannot be 11 measured directly by single-loop detectors, the most widely deployed type of traffic sensor in the 12 existing roadway infrastructure. In this study, a Gaussian Mixture Model (GMM)-based 13 approach i...

Speed Estimation and Length Based Vehicle Classification from Freeway Single-loop Detectors

designing unmanned aerial vehicle based on neuro-fuzzy systems

در این پایان نامه، کنترل نرو-فازی در پرنده هدایت پذیر از دور (پهپاد) استفاده شده است ابتدا در روش پیشنهادی اول، کنترل کننده نرو-فازی توسط مجموعه اطلاعات یک کنترل کننده pid به صورت off-line آموزش دیده است و در روش دوم یک کنترل کننده نرو-فازی on-line مبتنی بر شناسایی سیستم توسط شبکه عصبی rbf پیشنهاد شده است. سپس کاربرد این کنترل کننده در پهپاد بررسی شده است و مقایسه ای ما بین کنترل کننده های معمو...

Vehicle Speed Estimation from Single Still Images Based on Motion Blur Analysis

Motion blur arises when the object motion is fast relative to the shutter time of the camera. In this work, we p ropose a method to estimate the speed of moving vehicles from sing le still images based on motion blur analy sis for the p urpose of traffi c law enforcement. T he blur parameters are estimated from a sing le motion blurred image and then used to calculate the speed of the moving ve...

Vehicle classification using neural networks with a single magnetic detector

In this work, principles of operation, advantages and disadvantages are presented for different detector technologies. An idea of a new detection and classification method for a single magnetic sensor based system is also discussed. It is important that the detection algorithm and the neural network classifier needs to be easily implementable in a microcontroller based system.