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.
The Census Transform is one of the most widely used matching metrics in problems that involve correspondence search such as stereo reconstruction and optical flow. Graphic processing units (GPUs) have become popular platforms for such computation intensive applications that expose a high degree of data parallelism. Their evolution as a platform for general purpose computing by continuously adding...
The suitability of stereo algorithms for intelligent vehicle applications is conditioned by their ability to compute dense accurate disparity maps in real time. In this paper, an original stereo reconstruction system that is designed for automotive applications is presented. The system is based on the semiglobal matching algorithm (SGM), which is widely known for its high quality and potential for...
The suitability of stereo algorithms for intelligent vehicle applications is conditioned by their ability to compute dense, accurate disparity maps in real time. In this paper a realtime stereo reconstruction system designed for automotive applications is presented. The system is based on the Semi-Global Matching algorithm, widely known for its high quality and potential for real-time implementation...
The increase in computational power of consumer graphic cards has successfully motivated adaptation of stereo algorithms to this kind of hardware. In order to solve the stereo correspondence problem efficiently, the images need to be rectified and lens distortions need to be removed. This paper presents an efficient two step solution for rectifying and correcting lens distortions in images captured...
Accurate detection of moving obstacles from a moving vehicle is at the core of safe autonomous driving research. Stereo vision based sensors have been extensively used for this task as they are passive and provide a large amount 3D and 2D data. However, since no motion information is revealed, in intersections or crowded urban areas, static and dynamic objects immediately next to each other, or closely...
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.