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Autonomous vehicles are very hot research area which advance artificial intelligent, pattern recognition, computer vision, sensor fusion and control theory. In the paper we demonstrate a kind of micro-autonomous vehicle, describing hardware and software architectures, perception system and control method-cloud control. Our goal is study interaction behaviors between autonomous vehicles and how to...
With the rapid improvement of technology and economy, the percentage of transportation, like automobile, gradually increases. However, the number of cars increases, the methods of management stretches lots of problems, such as parking, traffic and thievery. Hence, Intelligent Transportation System (ITS) have been emphasized step by step and set up one after another around the world. In addition, ITS...
A new floating car data technology in Hefei has been developed that provides real-time traffic information within Hefei's two ring road. It is based on the collection of localisation data, speed, direction of travel and time information from GPS in vehicles that are being driven. The scope of the project is to development and creation of a Web-based data mart for the collection of FCD. The aim of...
Extracting the VLP number from a VLP image is considered to be one of the most important stages of vehicle license plate recognition (VLPR) system, it greatly influence the overall recognition accuracy and processing speed of the whole system. This paper presents an algorithm to extract the VLP number from the VLPs. The distorted VLPs are also studied to develop a transformation to calibrating the...
Based on a sample survey and comparative analysis on visual image of Chinese and foreign vehicle logos, the paper discusses their similarities and differences in the composition of name, graphic feature, overall geometric forms and application of colors. It provides corresponding reference data for the visual image design of automobile logos.
This paper proposes a car recognition algorithm based on multiple features of contour. Firstly, canny operator is used to get the edge of the image. Afterwards, image pyramid is used to shrink the image so that the contour will be single-edged and complete. Then, from a point in the contour, travel the whole contour to gain the Fourier descriptors and direction ratio from the traversal sequence. At...
Detection of license plate is an important process in intelligent transportation systems before license plate recognition. In this paper, we proposed an autonomous license plate detection system with computer vision instead of sensors. Using characteristics of dynamic images, our system rapidly identifies the license plate region. The system consists of two subsystems: car detection subsystem and...
License plate location is one of the key link in the license plate recognition process. Whether the plate location is successful and how accurate is the location decide directly the recognition and the effects in the latter part. For the license plate area has a high density difference in the difference image,we have put forward an algorithm for the license plate location based on the density and...
License plate detection and recognition system (LPDR) is applicable to wide range of uses such as highway toll collection, traffic management, and many more. One of the problems of this application is finding the position of license plate from cars because many cars have difference in uncertain positions of license plates and unclean license plates. The purpose of this project is to assess the efficiency...
In modern societies, due to the high crime rates and high traffic accidents the feeling of insecurity and threat is increasing. The need for the establishment of defence and prevention mechanisms has encouraged studies to develop automatic recognition systems, which should, for example, have the ability to recognize vehicles at a certain distance.This paper introduces two car recognition methods,...
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