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.
For the road edge detection under the structured and semi-structured road environment, we model the road edge using a linear regression and propose an improved RANSAC algorithm to finish the model selection, and it is applied to the fitting and filtering of road edge points extracted from the 2D LIDAR (light detecting and ranging) data. First, road edge points are extracted using the discrete Kalman...
In this paper, we present a new condensation filtering algorithm that combines local and global information for tracking of lane markings. Local model is used for condensation particle filtering while global one for resampling of local filters and vehicle control command. The detection and tracking process is done based on bird's-eye images in real-time. Unlike most of the state-of-art systems, in...
In this paper, experimental results on a driver's operating characteristics are studied. Experimental setup is developed on a basis of a fairly restrictive driver assistance system supporting “blind spot”, “lane departure” detection and “following distance” sensing. The main goal is to determine the attention and authority level of the driver, who is controlling the technical system under different...
In this paper, a LIDAR-based road and road-edge detection method is proposed to identify road regions and road-edges, which is an essential component of autonomous vehicles. LIDAR range data is decomposed into signals in elevation and signals projected on the ground plane. First, the elevation-based signals are processed by filtering techniques to identify the road candidate region, and by pattern...
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.