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.
In this paper, a motion planning algorithm based on differential flatness for an autonomous vehicle driving in a structured environment with moving obstacles is presented. A descriptions of the structured environment and definitions of safety and availability of the lane are proposed. In order to ensure that the trajectory is feasible and effective, dynamic longitudinal and lateral acceleration constraints...
We address the minimal risk motion planning problem in a two dimensional environment in the presence of both moving and static obstacles. Our approach is inspired by recent results due to Vladimirsky in which path planning on time-varying maps is addressed using a new level-set approach, and for which computational costs are remarkably low. Toward practical implementation of these results for path...
The problem of path planning for the autonomous vehicle in environment with moving and stationary obstacles is considered. An algorithm based on modified Kohonen rule and behavioural cloning (MKBC) is developed. The MKBC algorithm, as improvement of RBF neural network, uses the training values as weighting values, rather then values from the previous time instance. This enables an intelligent system...
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.