Traffic Object Integration Using Relative Vehicle Coordinates
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Solution Overview
Problem
In intelligent transport systems, there is a challenge in collecting and processing accurate data from both communicating and non-communicating vehicles, especially in environments where autonomous and non-autonomous vehicles coexist, due to the inability of all vehicles to communicate with the server, which affects the generation of integrated traffic information and accurate location information.
Innovation Solution
A method and apparatus that generate integrated traffic information by using license plate information and driving data from communicating vehicles to create unique identifiers and absolute coordinates for both communicating and non-communicating vehicles, with the absolute coordinates of non-communicating vehicles determined based on relative coordinates received from multiple communicating vehicles, allowing for accurate data collection and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only communicating vehicles are used for data collection, then data processing reliability is improved, but the coverage of traffic information is limited
Solution Approach 1:
The patent introduces communicating vehicles as intermediaries to collect and relay information about non-communicating vehicles to the server. These communicating vehicles act as mediators that bridge the gap between the server and vehicles incapable of direct communication, enabling the server to obtain traffic information from all vehicles including those that cannot communicate directly.
2Loss of information
If all vehicles are required to communicate with the server, then complete traffic information can be obtained, but the system complexity increases
Solution Approach 1:
The patent segments the vehicle population into communicating vehicles and non-communicating vehicles, applying different data collection methods to each segment. Communicating vehicles directly transmit their own data and relay information about non-communicating vehicles, while non-communicating vehicles have their information collected indirectly through other communicating vehicles. This segmentation reduces the complexity burden on individual vehicles while maintaining information completeness.
3Measurement precision
If relative coordinates from multiple communicating vehicles are used to determine absolute coordinates of non-communicating vehicles, then measurement precision is improved, but the quantity of data required increases
Solution Approach 1:
The patent merges relative coordinate information from multiple communicating vehicles about the same non-communicating vehicle to calculate its absolute coordinates. By combining observations from multiple sources, the system achieves higher measurement precision for the position of non-communicating vehicles, accurately determining their locations despite the increased quantity of data being processed.
Data Source
AI summary
A method for an electronic device within a server processing data in an intelligent transport system according to one embodiment comprises receiving, from vehicles, information of an ego-vehicle including absolute coordinates of the ego-vehicle and information of surrounding objects including relative coordinates of the surrounding objects recognized by the ego-vehicle and generating integrated object information including absolute coordinates of the respective vehicles based on the received information.