Space parking space detection method, device, equipment and storage medium
By acquiring point cloud data of the target vehicle's environment, and using LiDAR and deep learning models to generate and adjust parking spaces, the problem of detecting unmarked parking spaces is solved, and high-precision automatic parking is achieved.
CN119889085BActive Publication Date: 2026-06-26CHONGQING CHANGAN AUTOMOBILE CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHONGQING CHANGAN AUTOMOBILE CO LTD
- Filing Date
- 2025-01-10
- Publication Date
- 2026-06-26
AI Technical Summary
Technical Problem
Existing technology cannot accurately detect unmarked parking spaces, making it difficult for automatic parking functions to park in designated spaces, thus affecting the user experience.
Method used
By acquiring point cloud data of the target vehicle's environment, determining the point cloud data of the reference vehicle, generating candidate parking spaces, and adjusting their positions to obtain the target parking space, the detection accuracy is improved by using LiDAR and deep learning models.
Benefits of technology
It improves the standardization and detection accuracy of parking in unmarked areas, avoids low space utilization caused by random parking, and enhances the user experience.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN119889085B_ABST
Abstract
The application relates to a spatial parking space detection method, device, equipment and storage medium, comprising the following steps: acquiring environment point cloud data of an environment where a target vehicle is located, and determining point cloud data corresponding to a reference vehicle according to the environment point cloud data; wherein the reference vehicle is a vehicle in the environment except the target vehicle; determining a candidate spatial parking space in the environment where the target vehicle is located according to the point cloud data corresponding to the reference vehicle; wherein the candidate spatial parking space is a spatial parking space with a preset size; performing position adjustment on the candidate spatial parking space to obtain a target spatial parking space; wherein the target spatial parking space is used for indicating the target vehicle to park. The reference vehicle is determined first, and then the target spatial parking space is obtained through the reference vehicle, so that the determination precision of the spatial parking space is improved.
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