The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
As technology advances, it is an urgent matter to develop a smart street light for energy saving and road safety. In this paper, we present a system design of LED street light which integrates multicolor LED, power driving IC, and embedded image processing. The embedded system is used to monitor the road status and output control instruction. As the fog or rain is detected, the embedded system immediately...
Road safety is influenced by the adequate placement of traffic signs. As the visibility of road signs degrades over time due to e.g. aging, vandalism or vegetation coverage, sign maintenance is required to preserve a high road safety. This is commonly performed based on inventories of traffic signs, which should be conducted periodically, as road situations may change and the visibility of signs degrades...
In order to reduce accident at traffic intersections during day and night, the algorithm of traffic lights detection which is applied in a vehicle driver assistance system is designed by using the image processing technology. The system of traffic light detection includes three parts: a CCD camera, an image acquisition card, and a PC. Based on RGB color space, the algorithm extracts red, green, and...
Availability of detailed, high accuracy digital maps is crucial for many driver assistance applications. In this paper, a novel approach for automated map generation from aerial images is presented. Automatically generated maps present an alternative for applications that are not critical for vehicle safety such as accurate map based localization for route guidance. Aerial images as a source for automated...
As is known, it is of extreme importance to enhance the traffic safety by all means, of which vehicle colors may serve as one of the key influential factors to be considered. To study the different brain activities on vision of different colored cars, the event-related brain potentials (ERPs) were induced using the red and blue car pictures. The average response accuracy rate of red car is higher,...
The video-based on-road detection of vehicles at daytime allows driver assistance systems to avoid collisions and thereby improve safety, and realize comfort functions, like the well known adaptive cruise control. However, at nighttime, common video sensor based vehicle detection algorithms can't be used, because most state-of-the-art features, like shadows, symmetry and others, cannot be measured...
Vital problems in transportation such as mobility and safety of transportation, especially in highways and road ways, are considered as very important nowadays. Road traffic monitoring aims at acquisition and analysis of traffic signs, such as presence and numbers of vehicles, and automatic driver warning systems developed mainly for localization and safety purposes. In the past some methods have...
EACWS (Embedded Advance Collision Warning System) is an important part of ITS (Intelligence Transportation System). It is mainly based on monocular vision algorithms, and high-speed DSP processor, real-time to complete front vehicle distance detection, and send out early warning signals to ensure driving safety.
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,...
This paper describes the autonomous ground vehicle developed by researchers at the University of Florida that participated in the 2007 DARPA Urban Challenge. Specifically, this paper introduces LADAR based terrain evaluation algorithms for an urban environments as well as off road. The terrain evaluation algorithm is very important for safe driving at high speed. On the real road, the driver is faced...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.