Map Data Construction Using Dynamic Safety Event Information
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Solution Overview
Problem
Current map data construction methods for internet of vehicles (IoV) primarily focus on real-time static lane information, which limits road traffic safety and stability as they do not account for dynamic safety events and extended safety information.
Innovation Solution
A method and device for constructing map data that includes obtaining basic safety information packets during safety events, filtering and processing them to include parameter and extended safety information, and using model processing to generate map data that accounts for vehicle and road safety states, thereby enhancing safety and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If map data construction focuses only on real-time static lane information, then map construction complexity is reduced, but road traffic safety and stability deteriorate
Solution Approach 1:
The map data is segmented into multiple types including static lane information and dynamic safety event information. The system separately processes basic safety information packets and extended safety information packets, organizing them into distinct data structures that can be independently managed and updated.
Solution Approach 2:
The patent adds a temporal dimension to traditional static map data by incorporating real-time safety event information. This transforms the map from a two-dimensional static representation to a multi-dimensional dynamic structure that includes time-varying safety parameters and event histories.
2Speed
If map data includes only basic lane line information, then data processing speed is improved, but behavior planning and control accuracy deteriorate
Solution Approach 1:
The patent extracts essential safety information from complex safety event data packets, identifying and extracting key parameters such as safety event types, locations, timestamps, and affected road segments. This extraction process separates critical safety data from redundant information, maintaining processing efficiency while improving accuracy.
Solution Approach 2:
Different levels of information detail are applied to different map data elements. Basic lane information maintains a simplified structure for fast processing, while safety event information incorporates detailed attributes only where relevant to specific behavioral planning decisions, optimizing the balance between processing speed and accuracy.
3Use of energy by moving object
If map data excludes extended safety information, then information processing load is reduced, but vehicle safety state monitoring capability deteriorates
Solution Approach 1:
The system performs preliminary filtering and categorization of safety information packets before full processing. Basic safety information packets are processed immediately for critical safety parameters, while extended safety information packets are pre-processed and stored for later analysis, reducing immediate processing load while maintaining comprehensive monitoring capability.
Data Source
AI summary
A map data construction method and device, where the method includes obtaining first basic safety information packets of a vehicle, where the first basic safety information packets include an information packet of the vehicle that is collected when a safety event occurs, obtaining first basic safety information data from the first basic safety information packets, where the first basic safety information data includes parameter information of the vehicle and extended safety information, the parameter information of the vehicle indicates a driving state and an appearance information of the vehicle, and the extended safety information is used to indicate a safety state of the vehicle and a safety state of a road, and performing model processing based on the first basic safety information data to generate the map data.