210results about How to "Effective docking" patented technology

The invention discloses a laser SLAM (simultaneous localization and mapping) closed loop detection method based on deep learning. According to the method, an SLAM closed loop detection problem is converted into an SLAM data sample search problem; a deep Hash network for carrying out Hash coding on laser point cloud samples is established innovatively; and sample similarity calculation is carried out based on the Hash coding, thereby realizing similar sample rapid search and SLAM closed loop detection. According to the established deep Hash network, through utilization of the advantages of the deep learning, binary coding more reliable than a traditional coding technology can be obtained, so the search accuracy is greatly improved. A new point cloud characteristic extraction algorithm is designed, through application of the algorithm, on the basis of carrying out space division and projection on point clouds, a characteristic graph is established, laser point cloud sample data is reliably described, and effective docking with the deep Hash network is realized. According to the established deep Hash network, through offline training, a trained model can satisfy real-time coding demands.

The invention provides a CMMB super-hotpot platform, and the platform comprises a central management server, a database and a client, wherein the central management server, the database and the client communicate with each other. The central management server comprises a finished product warehouse server and a central management layer. The central management layer comprises a content management system, an operation management system, a business supporting system, an advertisement management system, an equipment management system, and a big data system. The platform can achieve the check management of contents, catalogs and an EPG (electronic program guide), also can achieve the management of terminal equipment and users, also can achieve the business supporting functions of product management and charging settlement, builds an end-to-end safety broadcast control system, and meets the implementation demands of multiple business modes which take big data, precise advertisement putting, and O2O.

The invention provides an underwater robot mobile docking recovery path planning method and device, and relates to the field of underwater robots, and the method comprises the steps: obtaining first positioning information, second positioning information and hydrodynamic parameters; establishing a spatial six-degree-of-freedom motion model according to the first positioning information and the hydrodynamic parameters; setting a position gravitation point and an attitude gravitation point according to the second positioning information, and determining virtual gravitation; determining a thrust,a vertical rudder force and a horizontal rudder force according to the virtual gravitation; substituting the thrust, the vertical rudder force and the horizontal rudder force into the spatial six-degree-of-freedom motion model, determining the pose of the underwater robot to be recovered at the next moment, and obtaining the pose of the mobile dock at the next moment; and judging whether the poses of the two moments are consistent at the next moment, and if so, ending the path planning task. According to the method, an efficient and accurate path planning method is provided for mobile dockingof the under-actuated underwater robot, the reliability of mobile docking is ensured, and the operation burden of personnel is effectively reduced.

The invention discloses a vehicle-mounted terminal system based on a cloud platform. The vehicle-mounted terminal system is characterized by comprising a vehicle-mounted terminal body and being implemented according to a working principle and a communication specification of a vehicle terminal system based on a cloud platform and a communication and control method among the vehicle-mounted terminal, the cloud platform, a vehicle controller, and a mobile device. The vehicle-mounted terminal includes a control module, a positioning module, a communication module, a network module, a video acquisition module, and a power supply module; the vehicle-mounted terminal carries out communication and data transmission with the cloud platform to realize remote monitoring; and the vehicle-mounted terminal carries out communication and data transmission with the vehicle controller by the network module to realize remote controlling of the vehicle. The vehicle-mounted terminal based on the cloud platform serving as a vehicle networking and dispatching control part is used for realizing all-round vehicle monitoring and management as well as vehicle positioning, remote monitoring and operation control, and data acquisition. On the basis of a three-dimensional network system established by the vehicle-mounted terminal, the mobile terminal and the cloud platform, effective docking of vehicle resources and application demands is realized, personalized application services can be provided for users; the requirement of the national transportation energy strategic transformation is met; and theinevitable tendency of transformation and upgrading development of the public transportation industry is promoted.