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.
Aiming at the lack of stability and slow convergence of rapidly random-exploring trees (RRT) algorithm, an improved RRT path planning algorithm is proposed. Firstly, based on bidirectional search path planning algorithm, an improved combination strategy is proposed. The combination strategy combines target point search strategy with random search strategy, which not only improve the efficiency of...
To play the biggest advantage of unmanned aerial vehicle (UAV), avoiding bunkers and other obstacles, UAV need precision attack at a specific angle into the target in the attack phase. This paper presents a model based on two-sided search for UAV path planning, from the starting point and target point to begin the search to address with the path planning issues with specified target angles and threat...
This paper describes an efficient stochastic algorithm for planning near-optimal paths for a point agent moving through two-dimensional weighted-region terrain from a specified start point to a specified goal point. Weighted-region terrain consists of polygonal regions with a constant traversal cost within each region, and models differences in vegetation and terrain that affect traversal. Our algorithm...
Interactive bionics-swarm co-evolutionary hybrid algorithm system architecture is presented by using cultural double evolutionary structure in this paper. The architecture includes the upper ceiling knowledge space based on good-point-set genetic algorithm (GGA), the bottom ceiling population space based on discrete particle swarm optimization (DPSO), the top-down influence mechanism and the bottom-up...
A 3D vehicle path planning method based on heuristic A* algorithm is proposed and simulated which makes the UAV's path planning for low altitude penetration more real-time, effective and engineering-oriented. The digital terrain information is processed with the integrated terrain elevation smoothing algorithm at first, and then, the safe flight surface which integrates the maneuverability of vehicle...
This paper provides an improved search algorithm for optimal route planning by rebuilding the search area in intelligent transport system. The theory foundation is that the classical Dijsktra algorithm has not any directional feature during searching the optimal path, and the bidirectional Dijsktra has its own limit. Based on the analysis of the two algorithms, the new improved algorithm proposed...
This paper proposes a path planning algorithm for determining an optimal path with respect to the costs of a dual graph on the Constrained Delaunay Triangulation (CDT) of an environment. The advantages of using triangles for environment expression are: less data storage required, available mature triangulation methods and consistent with a potential motion planning framework. First we represent the...
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.