Published on Tue Jul 05 2011

Automatic Road Lighting System (ARLS) Model Based on Image Processing of Moving Object

Suprijadi, Thomas Muliawan, Sparisoma Viridi

Using a vehicle toy (in next future called vehicle) as a moving object an automatic road lighting system (ARLS) model is constructed. A digital video camera with 25 fps is used to capture the vehicle motion as it moves in the road. Captured images are then processed to calculate vehicle

0
0
0
Abstract

Using a vehicle toy (in next future called vehicle) as a moving object an automatic road lighting system (ARLS) model is constructed. A digital video camera with 25 fps is used to capture the vehicle motion as it moves in the test segment of the road. Captured images are then processed to calculate vehicle speed. This information of the speed together with position of vehicle is then used to control the lighting system along the path that passes by the vehicle. Length of the road test segment is 1 m, the video camera is positioned about 1.1 m above the test segment, and the vehicle toy dimension is 13 cm \times 9.3 cm. In this model, the maximum speed that ARLS can handle is about 1.32 m/s, and the highest performance is obtained about 91% at speed 0.93 m/s.

Sun Sep 16 2018
Machine Learning
Road Detection Technique Using Filters with Application to Autonomous Driving System
Road detection is an essential factor that assists autonomous robots achieved perfect navigation. Various techniques using camera sensors have been proposed by numerous scholars with inspiring results. But their techniques are still vulnerable to these noises: rain, snow, light intensity and shadow. In addressing these problems, this paper proposed to enhance the road detection system
0
0
0
Fri Oct 16 2015
Computer Vision
Measurement of Road Traffic Parameters Based on Multi-Vehicle Tracking
The system is based on Local Binary Pattern (LBP) image features classification. It uses a cascade of Gentle Adaboost (GAB) classifiers to determine vehicle existence and its location in an image. The newly proposed system is compared with a system based on background subtraction.
0
0
0
Tue Apr 28 2015
Computer Vision
A Robust Lane Detection and Departure Warning System
System is based on single camera sensor. Lane markings are represented using a combination of 2nd and 4th order steerable filters. Effect of shadowing and extra sun light are removed using Lab color space.
0
0
0
Wed Mar 31 2010
Computer Vision
Development of an automated Red Light Violation Detection System (RLVDS) for Indian vehicles
Integrated Traffic Management Systems (ITMS) are now implemented in different cities in India to primarily address the concerns of road-safety and security. An automated Red Light Violation Detection System (RLVDS) is an integral part of the ITMS.
0
0
0
Mon May 27 2019
Artificial Intelligence
An Intelligent Monitoring System of Vehicles on Highway Traffic
Vehicle speed monitoring and management of highways is the critical problem of the road in this modern age of growing technology and population. Using traditional techniques of RADAR, LIDAR and LASAR to address this problem is time-consuming, expensive and tedious. This paper presents an efficient framework
0
0
0
Wed Oct 22 2014
Computer Vision
Vehicle Detection and Tracking Techniques: A Concise Review
Vehicle detection and tracking applications play an important role for civilian and military applications such as in highway traffic surveillance. Vehicle detection process on road are used for vehicle tracking, counts, average speed of each individual vehicle, traffic analysis and vehicle categorizing objectives.
0
0
0