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.
On-ramp merging areas of expressway are in general accident-prone sections. Traditional vehicle safety driving assistant system is not satisfying since normal sensors such as vision, lidar, radar often do not perform well as expected. Motivated by this, this paper proposes a new method using V2V (vehicle to vehicle) wireless network communication, GPS and digital map etc. And, the acceleration risk...
Preceding vehicle detection is a major research field of safety assistant driving system. This paper proposed a preceding vehicle detection method based on multi-characteristics fusion. First, the areas of interesting for preceding vehicles are established by using the bottom shadows. Then the preceding vehicles are identified through the fusion of vehicle margin characteristics, texture characteristics...
The vision based cybercar named JLUIV-V is an electric automatic intelligent vehicle developed by Jilin University. This paper first describes the system structure, the design of the navigation line and the numerals. Then, the image segmentation algorithms for variable illuminations and the BP neural network algorithm classifier are introduced. Some image segmentation results of different images under...
For intelligent vehicle and driving assistant system, pedestrian detection technology is an important research held to avoid dangerous traffic accidents. This article puts forward a pedestrian detection algorithm based on edge symmetry. First, lane recognition method is used to get area of interest (AOI) ahead of vehicle. Second, as pedestrian legs have prominent vertical edge symmetry, their symmetrical...
In order to identify navigation lane for an intelligent vehicle more rapidly and exactly, the lane mark edge lines are firstly detected based on Zernike moments, and then lane mark feature points are gained according to certain characters. Based on these points, lane mark line parameters can be acquired rapidly and exactly by using linear regression algorithm. Finally lane mark real-time tracking...
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.