V2X Road Map Correction Using Real-Time Vehicle Data
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Solution Overview
Problem
Current road information collection methods are costly and inefficient, as they rely on professional vehicles equipped with expensive sensors, and the data is not updated in real-time, leading to low precision and delayed corrections.
Innovation Solution
A V2X-based road information correction method that involves sending a road information map to vehicles, which collect real-time data and upload it to a cloud server for immediate correction, ensuring timely updates and improved precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If road information is collected only by using professional collection vehicles with expensive sensors, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent enables ordinary vehicles to perform road information collection functions that were previously exclusive to professional collection vehicles. By utilizing sensors already present in regular vehicles (cameras, GPS, odometers), the system makes the road information collection capability universal across different vehicle types, reducing the need for specialized expensive equipment while maintaining data quality through cloud-based processing and validation.
Solution Approach 2:
The patent creates virtual copies of professional collection vehicle functionality by distributing collection capabilities across multiple ordinary vehicles. Instead of relying on a single specialized vehicle with expensive sensors, the system uses numerous regular vehicles that replicate the data collection function, thereby reducing device complexity and cost while improving measurement precision through multiple data sources.
2Device complexity
If road information is updated periodically by professional collection vehicles, then device complexity is reduced, but timeliness of data update deteriorates
Solution Approach 1:
The patent transforms periodic road information collection into a continuous process. Instead of relying on professional vehicles to periodically traverse road sections, the system enables continuous data collection whenever any vehicle passes through an area. The cloud server continuously receives, processes, and updates road information in real-time, eliminating update delays while keeping the system simple by using existing vehicle sensors.
Solution Approach 2:
The patent implements a feedback mechanism where road information is continuously collected from multiple vehicles, processed by the cloud server, and updated in real-time. The system provides negative feedback by comparing newly collected data with existing map data, automatically identifying and correcting deviations. This continuous feedback loop ensures timely data updates without requiring complex specialized collection vehicles.
3Device complexity
If road information is not corrected in real-time, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent implements a negative feedback correction mechanism where the cloud server continuously compares road information collected from ordinary vehicles with the stored high-precision map data. When deviations are detected (such as road subsidence, damage, or construction), the system automatically corrects the map data in real-time. This feedback-based correction maintains high measurement precision while keeping the system relatively simple by using software processing rather than complex specialized correction equipment.
4Measurement precision
If professional collection vehicles are deployed frequently to update road information, then measurement precision is maintained, but loss of time and cost increase
Solution Approach 1:
The patent enables ordinary vehicles to self-perform road information collection and correction functions without requiring deployment of professional collection vehicles. Each vehicle automatically collects data using its own sensors, uploads information to the cloud server, and contributes to map updates. This self-service approach maintains measurement precision through distributed data collection while dramatically reducing the time and cost associated with deploying specialized vehicles.
Solution Approach 2:
The patent merges the functions of road information collection, validation, and correction into a unified cloud-based system. Instead of using separate professional collection vehicles for each function, the system combines these capabilities by processing data from multiple ordinary vehicles through a central cloud server that performs collection, comparison, validation, and correction in an integrated workflow, thereby reducing time and cost while maintaining precision.
Data Source
AI summary
The present disclosure provides a road information correction method, apparatus, and system based on vehicle-to-everything (V2X). The method includes: sending a road information map to a first vehicle, such that the first vehicle obtains first original road information by using the road information map, and collects real-time road information; receiving the real-time road information uploaded by the first vehicle; determining, according to the real-time road information, whether the stored first original road information needs to be corrected; and if yes, correcting the stored first original road information according to the real-time road information; otherwise, not correcting the stored first original road information. According to the embodiments of the present disclosure, road information stored in a cloud can be corrected in a timely manner, and fast-changing information and slow-changing information can be identified to provide different determining mechanisms for the two, thereby ensuring precision of correcting road information.