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.
To address the local path planning problem for autonomous land vehicle in unstructured environments, a novel method combining navigation function and A* search is proposed. The computed navigation function in this paper embodies different constraints of vehicle, so in fact to be a near-feasible trajectory. Next the navigation function and sensed obstacles is used to construct the heuristic function,...
With the development of the intelligent transportation systems (ITS), and the widely used technologies of road testing, machine vision etc. in the field of intelligent vehicle, it is possible for the smart car to move automatically in well-structured environments. As for urban complex environments, the researches on unmanned intelligent vehicle are still at the initial stage. For the more complex...
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...
There are a lot of cases with vehicle parking methods. But, when we try to analyze the successful parking patterns, we will be known that all processing is accomplished within specific parking pattern. We collect and analyze various parking patterns, so suggest the parking planning algorithm that do mission safe and effectively, when Unmanned Ground Vehicle (UGV) starts parking mission.
Safety is an important issue of driverless car. Yet, most current approaches fail to ensure safety even in a fully informed situation. In this paper we discuss how the safety criteria apply when the robot uses its on board sensors to evolve in an environment populated with static and moving obstacles. The sensors can only provide a partial and uncertain knowledge of the surroundings. We show that...
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.