55results about How to "Realize interactive control" patented technology

The invention discloses a negative pressure absorption climbing type robot used for detecting a fissure of a bridge. The negative pressure absorption climbing type robot used for detecting the fissure of the bridge comprises a camera shooting unit, a front mechanical foot, a rear mechanical foot and a wireless communication unit. According to the negative pressure absorption climbing type robot used for detecting the fissure of the bridge, the front mechanical foot is connected with the rear mechanical foot through a joint coupling mechanism, the front mechanical foot and the rear mechanical foot are respectively provided with a negative pressure absorption assembly and a walking driving assembly, and therefore the front mechanical foot and the rear mechanical foot can be sucked on the surfaces of bridges under different work conditions to achieve climbing and walking; the camera shooting unit is arranged on the front mechanical foot and is used for shooting an area to be detected and sending the shot results to the wireless communication unit; the wireless communication unit is arranged on the rear mechanical foot and is used for receiving the results shot by the camera shooting unit and transmitting the results to a control terminal and receiving a control command from the control terminal. The negative pressure absorption climbing type robot used for detecting the fissure of the bridge has the advantages that the detection of the fissure of the bridge can be achieved conveniently, fast and accurately, the detection of the fissure of the bridge can be controlled conveniently, subjective interference factors of people can be effectively eliminated, and detection cost is reduced. The negative pressure absorption climbing type robot used for detecting the fissure of the bridge is particularly suitable for detection of the bottom surfaces of various complicated bridges.

A multi-body interactive type intelligent driving system comprises a plurality of satellite navigation subsystems, a plurality of road base station control subsystems, a plurality of vehicle-mounted interactive control subsystems, a plurality of vehicle moving control subsystems and a road control center. Each vehicle is provided with one set of satellite navigation subsystem, one set of vehicle-mounted interactive control subsystem and one set of vehicle moving control subsystem. A road is divided into a plurality of road sections, each rod section is provided with one set of road base station control subsystem. The road control center is used for monitoring the road base station control subsystems. The vehicle-mounted interactive control subsystems are used for collecting the information of the road base station control subsystems, the information of the vehicle moving control subsystems and the information of the satellite navigation subsystems in real time and interactively controlling the road base station control subsystems, the vehicle moving control subsystems and the satellite navigation subsystems according to the information. By means of the multi-body interactive type intelligent driving system, interactive control between roads, between vehicles and among the roads, the vehicles and people is achieved, and the safety and intellectuality of the roads and the intellectuality and economical efficiency of vehicle driving are improved.

The invention relates to a large-scale virtual crowd real-time rendering method, which comprises the following steps of: 1, introducing the conventional grid model and extracting geometric information and animation information of the model; 2, performing octree space subdivision on the model, wherein approximate description of a part of the model related to geometric size of each node is stored in the node; 3, performing point sampling on the surface of the part of the model included by each node; 4, processing and modeling a sample point, wherein the step comprises the sub-steps of calculating sample point information by interpolation, selecting sample point animation information, oversampling and removing redundancy and the like; 5, establishing model sampling data of three-layer LOD (Levels of Detail) according to specified parameters; 6, performing view frustum culling accelerated by a GPU (Graphic Processing Unit) on a virtual crowd in a large-scale scene during the real-time rendering; 7, performing an LOD strategy accelerated by the GPU on the cuffing result, wherein the step comprises the sub-steps of selecting role LOD and ordering LOD; and 8, sequentially performing GPU skin-skeleton animation based instancing rendering on the role of each layer of LOD level. By adopting the method, quick real-time rendering of a large-scale virtual crowd can be realized.