Camera and Vector Map Vehicle Positioning for Lane-Level Accuracy
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Solution Overview
Problem
Current vehicle positioning methods are cost-prohibitive due to reliance on expensive vehicle-mounted laser radar and high-resolution point cloud maps, limiting their universal application and resulting in low positioning accuracy for cost-constrained vehicles.
Innovation Solution
A vehicle positioning method using a camera sensor to collect image data and combine it with a vector map for visual recognition, determining lateral and longitudinal position information to accurately identify the target lane and travel position of a vehicle, thereby reducing costs while improving positioning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle-mounted laser radar and high-resolution point cloud maps are used for positioning, then positioning accuracy is improved, but cost increases
Solution Approach 1:
The patent replaces expensive laser radar with a camera sensor, which is a much cheaper component. The camera captures images that are processed to extract positioning information, achieving acceptable positioning accuracy without the high cost of laser radar hardware
Solution Approach 2:
The patent substitutes the mechanical/optical laser radar system with a visual recognition system using a camera. The camera captures optical images that are then processed through image recognition algorithms to derive positioning data, replacing a complex mechanical scanning system with a simpler static sensor
2Ease of manufacture
If camera sensor with vector map is used for positioning, then cost is reduced, but positioning accuracy deteriorates
Solution Approach 1:
The patent combines multiple data sources including camera images, vector map information, and image recognition results to determine positioning data. By merging these different information sources, the system compensates for the lower inherent accuracy of camera-based positioning and achieves comparable positioning precision to laser radar systems
Solution Approach 2:
The patent introduces image recognition technology as an intermediary process between the camera sensor and the final positioning output. The recognition module extracts features from images and correlates them with vector map data, serving as a bridge that enhances the positioning accuracy of the cheaper camera-based system
Data Source
AI summary
Disclosed is a vehicle positioning method and apparatus, a storage medium and an electronic device. The method comprises: prelocating a target vehicle in a running state based on a global positioning system to obtain a priori position of the target vehicle in a map; acquiring running image data collected by a camera sensor in the target vehicle in a target area where the priori position is located; visually recognizing the running image data by using a vector map of the target area, so as to acquire lateral position information and longitudinal position information about a position where the target vehicle is located currently; determining a target lane in which a target vehicle is located according to the transverse position information, and positioning a travel position of the target vehicle in the target lane according to the longitudinal position information. The present invention solves the technical problem in the related art that the positioning accuracy of a vehicle is relatively low on the premise that the costs are limited.