6 results about "Multi-storey car park" patented technology

A method for deactivating a remote automatic parking mode of a vehicle in a parking garage. The vehicle being equipped with a tire monitoring system, including wheel units mounted in each wheel of the vehicle and each being provided with an accelerometer measuring a radial component of an acceleration of the wheel and being dependent on a terrestrial gravitational field. The vehicle being provided with an automatic parking mode remotely controlled by portable equipment carried by a user. The method includes, if the conditions for activating the measurements of the wheel units are verified: each wheel unit measuring acceleration values over time; comparing said values with a threshold value, for each wheel unit; if the acceleration values of at least two wheel units exceed said threshold value, then: detecting any movement of said vehicle in a parking garage; and deactivating the remote automatic parking mode.

The invention proposes a method for remotely deactivating an automatic parking mode of a vehicle (V) in a multi-story car park, said vehicle being equipped with a tire monitoring system (S), comprising wheel units (20) mounted in each of the wheels (R) of said vehicle and each being equipped with an accelerometer measuring a radial component of an acceleration of said wheel, dependent on a terrestrial gravitational field (g), the vehicle being equipped with an automatic parking mode remotely controlled by a portable device (SD) worn by a user (U), the method being characterized in that it comprises, if the activation conditions of the wheel unit measurements are met: Measurement by each of the wheel units of acceleration values ​​(F1(t)) as a function of time, Comparison for each wheel unit of said values ​​with a threshold value (S1),If the acceleration values ​​of at least two wheel units exceed the aforementioned threshold value, then movement of the said vehicle is detected in a multi-story parking garage, and the remote automatic parking mode is deactivated. Figure for the abbreviation: Fig. 1,

The application provides a pose determination method and device and an autonomous mobile device, and relates to the technical field of artificial intelligence. The method comprises the following steps: when the autonomous mobile device is located in an indoor parking lot, determining whether the autonomous mobile device is located in an inter-floor transition area according to a road slope where the autonomous mobile device is currently located; when it is determined that the autonomous mobile device is located in the inter-floor transition area, acquiring real-time motion data through an internal detection module of the autonomous mobile device; and determining a first pose of the autonomous mobile device according to the real-time motion data. In this way, when the autonomous mobile device is located in a multi-floor parking lot for mapping, the problem of excessively large pose estimation error caused by scene degradation in the inter-floor transition area can be effectively avoided.

The invention provides a robust multi-layer parking lot mapping positioning method based on visual inertia information, and the method comprises the steps: firstly obtaining an original image gray-scale map and IMU original information, inputting a feature detection and tracking module, and outputting an image frame pose and an IMU pre-integration result; then the local vision inertial odometer module receives the data, VIO optimization is carried out through a sliding window, and the poses of the key frame and the loopback frame are judged and output; then, the back-end graph optimization module receives the pose construction factor graph for global optimization, and relocation thread acceleration is started; and finally, the floor control and constraint module receives the high-frequency elevation information of the local module, processes the high-frequency elevation information, inputs the processed high-frequency elevation information into a rear-end module, receives a rear-end feedback pose to eliminate a height accumulated error, and finally outputs a vehicle pose. Compared with the prior art, the method has the advantages that the same-layer mapping availability is improved, the multi-layer mapping robustness is enhanced, and light weight and precision are both considered.

A routing system for automatically routing a motor vehicle is designed to record a drive trajectory for a routing maneuver in a parking area in a recording mode on the basis of a route being traversed by a driver by means of the motor vehicle in a manual driving operation, said parking area having multiple levels. The routing system is additionally designed to store first level information for describing a level of the parking area in which the traversed route is arranged in combination with the recorded travel trajectory. Furthermore, the routing system is designed to use the recorded travel trajectory and the first level information for an automated routing maneuver in an automated mode.

The invention provides a vehicle path planning method, electronic equipment and a computer readable storage medium, and belongs to the technical field of automatic driving. The method comprises the following steps: generating a global topological graph according to a pre-generated three-dimensional semantic map, performing first bidirectional search between a path starting point and a path ending point based on the global topological graph, and determining a global path framework according to a result of the first bidirectional search; for each ramp, based on the first topological relation of the ramp, carrying out second bidirectional search between the ramp starting point and the ramp ending point, carrying out three-dimensional collision detection in the ramp, and determining a cross-layer path according to the result of the second bidirectional search and the result of the three-dimensional collision detection; and carrying out fusion splicing on the global path framework and each cross-layer path to obtain a vehicle global optimization path between the path starting point and the path ending point. The method is suitable for a complex scene of a multi-layer parking lot, realizes path transition of a floor switching area, and improves the cross-layer processing capability of vehicle path planning and a scene self-adaptive mechanism.