36results about How to "Efficient decision-making" patented technology

The invention discloses a method and a device for dynamically enhancing a street view image. The method comprises the following steps of obtaining an original street view image and traffic information, wherein the original street view image is displayed on a terminal with a display screen; analyzing the original street view image, and identifying one or a plurality of traffic indication icons from the original street view image; according to the traffic information, rendering one or a plurality of the traffic indication icons by a preset icon rendering rule; and synthesizing one or a plurality of the rendered traffic indication icons and the original street view image, so as to generate and synthesize the street view image. The method and the device have the advantages that content information is dynamically added into the street view image, and the method and the device are favorable for a user to visually and efficiently make decisions related to traveling.

The invention provides a bottleneck upstream lane level traffic state prediction system and an implementation method. The prediction system comprises an information acquisition module, a processing module, a release module and a transmission module; the speed and passing time of each vehicle are obtained via the information acquisition module, then the initial time-space distribution state and traffic of bottleneck upstream traffic flow are obtained, and the time-space distribution state of the traffic flow in different lanes at any moment is predicted in the information processing module based on a driver risk threshold in combination with a confluence model at the bottleneck and a lane selection model at the upstream of the bottleneck. The confluence model and the lane selection model involve in the influence of different advantages of different lanes at the upstream of the bottleneck at a confluence point, and the precision of bottleneck upstream traffic state prediction can be improved to the lane level, so that the accuracy of traffic state prediction can be greatly improved, theoretical and technical supports are provided for dynamic control of traffic managers, intelligent induction, efficient management and quick decision, and more accurate travel information is provided for road users.

The invention provides an order delivery method and system for multi-robots. The system includes terminal devices, order delivery servers and robots. The method includes: according to the order request message sent by the user and the location information of the robot, the order delivery server first uses the order sorting algorithm to sort the importance of the user's order, and then matches the order delivery robot for the user order according to the importance of the user order, and then The improved global path planning algorithm is used to plan the order delivery global path corresponding to the matching order for the order delivery robot, and then local collision avoidance optimization is performed on the planned order delivery global path, and then the order delivery optimization path is obtained, and then The order delivery optimization path is sent to the corresponding robot; the robot executes the delivery task for the corresponding order according to the order delivery optimization path. This technical solution can also make efficient decisions in complex environments, and then realize the use of multiple robots to quickly complete order delivery tasks.

The invention provides a route optimization method for an automatic mapping task of a mobile robot. The method is characterized in that through environmental data acquired by a laser radar, an ultrasonic radar, a depth camera and other equipment carried by the robot, under the control of an optimization strategy coordinating two target mechanisms, i.e., prioritized tracking of obstacle boundariesand sufficient exploration of passable areas, the longest distance from the obstacle area boundaries and the shortest distance from boundaries of the passable areas detected by the robot within each time step are respectively calculated; and the concept of mapping exploration priority is initiatively proposed, and a route optimization algorithm for the automatic mapping task of the mobile robot isestablished. The method provided by the invention has the advantages that a model is simple and efficient; and even in a complex and unknown environment, quick exploration of obstacle areas and the passable areas in the environment by the robot can be efficiently achieved.