Abstract: Disclosed are a preparation method for manganese-doped red phosphor, a device and a backlight module including the product. The method includes: 1) mixing A2BF6 polycrystalline particles with mill balls; 2) mixing A2BF6 powder obtained after ball-milling with a hydrofluoric acid for secondary crystallization; 3) filtering out solid particles in A2BF6 and hydrofluoric acid solution after the secondary crystallization; 4) performing ion exchange between A2BF6 particles and A2BF6; and 5) filtering out solid particles to obtain a filter cake, and performing drying treatment to obtain manganese-doped red phosphor.

Abstract: A traffic information quantization method in an intelligent network environment includes: step S1: extracting traffic information sources according to collected videos and classifying the traffic information sources; step S2: obtaining a state set and a probability distribution of each traffic information source through actual observation and calculation; step S3: using information theory to quantify the traffic information sources. Further, a traffic information quantization system in the intelligent network environment is provided, and the traffic information quantization method in the intelligent network environment and its system are adopted to quantify the driving information of the driving process and calculate the amount of information. The method and system can transform uncertain information into certain information, improve driving efficiency, help drivers optimize the driving process, and ensure driving safety.

Abstract: A mapping method for right-turn conflict warning lines at urban road intersections includes: obtaining the conflict data of urban intersections and the driving trajectory information of large vehicles and obtaining the outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve through the driving trajectory information of large vehicles; using the regression model to construct the dynamic model of the right-turn conflict area of large vehicles and obtain the relationship between the parameters of the outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve and the dynamic and static indexes; inputting the dynamic and static indexes of other road intersections into the dynamic model of the right-turn conflict area of large vehicles to obtain the corresponding outermost rear wheel trajectory curve and the innermost rear wheel trajectory curve, and drawing the urban road warning line.

Abstract: A method suitable for driver takeover training of man-machine shared driving vehicle relates to the field of man-machine shared driving technology. The method includes: establishing database, situation-creation, establish a teaching model, take over training, evaluation and analysis of takeover ability. The method divides the driver's takeover behavior into a small operation action through the driver takeover training of the man-machine shared driving vehicle, defines where the driver's eyes need to observe when the takeover reminder appears, how the hands and feet need to be operated, and the sequence of these operations, solves the problems of the driver's tension and being in a flurry in the current sudden takeover reminder. In addition, through the evaluation and analysis of the takeover capability, the method can solve the problem that the existing technology cannot objectively evaluate the driver's takeover capability level.