4results about How to "Avoid unreliable" patented technology

The utility model provides a short-wave broadcast deviation switch with self-damping, and the switch comprises a reduction gearbox which is internally provided with a gear transmission mechanism, and the gear transmission mechanism is used for reducing the speed of inputted rotation power and transmitting the rotation power to an output end; and the self-damping device is arranged in the reduction gearbox and connected with the gear transmission mechanism of the reduction gearbox, and when the gear transmission mechanism of the reduction gearbox rotates, the self-damping device can generate a damping effect so as to slow down the rotating speed of the reduction gearbox. By additionally arranging the self-damping device, the problem that the high-power short-wave broadcast deflection switch is unreliable in the deceleration positioning process is effectively solved. The generator in the self-damping device is matched with the power resistor to work, so that a damping effect can be generated when the reduction gearbox rotates, the rotating speed is reduced, mechanical energy can be converted into electric energy, the electric energy is consumed through the power resistor, and effective utilization of the energy is achieved.

This invention provides a method, apparatus, electronic device, and storage medium for detecting vehicle parking status, relating to the field of vehicle detection. The method includes: acquiring a parking space image and a pre-marked parking space area within the parking space image in real time, and determining a target detection mode based on the orientation of a specified parking space frame line within the parking space area; the detection modes include a side-view detection mode and a same-side detection mode; when it is determined that a vehicle detected from the parking space image is stationary, extracting the detection frame corresponding to the vehicle, and sequentially determining the positions of multiple specified chassis key points on the vehicle in the parking space image; when the target detection mode is a side-view detection mode, determining the target parking space area and parking status of the vehicle using the chassis key points and each parking space area; when the target detection mode is a same-side detection mode, determining the target parking space area and parking status of the vehicle using the chassis key points, the detection frame, and the parking space area; and adaptively detecting the vehicle's parking status based on the parking space orientation.

The invention discloses a multi-source information high-precision positioning method and system for an unmanned forklift, and the method comprises the following steps: configuring a millimeter-wave radar, a laser radar and an inertial measurement unit for a dual-radar positioning system, designing a random matching algorithm to calibrate the timestamps of the millimeter-wave radar and the laser radar, and obtaining a main image and an auxiliary image; designing a key frame extraction algorithm to extract key frames of the main image to obtain a primary main image; designing an information matching algorithm, and calculating the positioning of the unmanned forklift by using a dynamic sliding window; a position diagnosis algorithm is designed, positioning deviation is calculated, and positioning of the unmanned forklift is corrected; and outputting the positioning of the unmanned forklift of the double-radar positioning system. According to the scheme, by obtaining the multi-source information of the millimeter wave radar, the laser radar and the inertial measurement unit, a multi-source fusion and dynamic correction mechanism adaptive to a metal processing plant is established, and the positioning precision of the unmanned forklift is remarkably improved.

This application discloses a control method, control device, equipment, and storage medium for a vehicle-mounted unmanned aerial vehicle (UAV), belonging to the field of vehicle control technology. The control method for the vehicle-mounted UAV includes: determining first heading data from multiple heading data sets based on a reference priority, wherein the multiple heading data sets have different data sources; acquiring first image data collected by the vehicle-mounted UAV based on the first heading data set at a first moment; if the first image data satisfies a first switching condition, determining second heading data from the multiple heading data sets based on the reference priority and a first confidence level of the multiple heading data sets at the first moment; and controlling the vehicle-mounted UAV based on the second heading data set. Through pre-configured reference priorities and multiple heading data sets, this application can ensure the accuracy and efficiency of the switching process when heading data switching is required, avoiding blind switching and ensuring the continuity and stability of the vehicle-mounted UAV's automatic takeoff, tracking, and return operations.