Roadside Unit Positioning via Vehicle Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle-to-infrastructure communication systems, such as those using GPS-based roadside units, face limitations in precision due to power dissipation issues and reception errors, especially in dense urban areas, and errors in localization information from vehicles can affect the accuracy of roadside unit positioning.
Innovation Solution
A method that improves the precision of roadside unit positioning by establishing data communication with passing vehicles, calculating a preliminary position using vehicle localization information, and iteratively refining this position with saved data to minimize errors, using a weighted mean calculation and recursive accuracy assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS devices are used for positioning RSU, then positioning capability is provided, but power dissipation increases and reception errors occur in dense urban areas
Solution Approach 1:
The system uses passing vehicles to serve as positioning references for the RSU. Instead of the RSU actively querying multiple GPS satellites, the RSU passively receives localization information from vehicles that already have their own positioning systems, thereby reducing the RSU's energy consumption while maintaining positioning capability.
Solution Approach 2:
Vehicles act as intermediaries between the RSU and the positioning system. The vehicles' localization information (derived from their own GPS and sensor data) is used to indirectly determine the RSU's position, avoiding the need for the RSU to directly process complex satellite signals and reducing power consumption.
2Measurement precision
If GPS devices are used for positioning RSU, then positioning capability is provided, but reception errors occur due to blocked satellite reception in dense urban areas
Solution Approach 1:
Vehicles serve as intermediaries that already have processed localization information from multiple sources including GPS, cellular triangulation, and onboard sensors. This pre-processed information is more robust against urban canyon effects than direct RSU-GPS communication, as vehicles can use multiple reference points and signal paths to maintain accurate positioning in dense urban areas.
Solution Approach 2:
The system uses feedback from multiple passing vehicles to continuously refine and correct the RSU's position determination. By comparing localization information from multiple vehicles at different positions, the system can detect and compensate for reception errors or anomalies in individual measurements, thereby improving overall positioning precision in challenging urban environments.
3Ease of manufacture
If direct communication with passing vehicles is used for positioning, then positioning is achieved without GPS, but errors from vehicle sensor accuracy and reaction time affect RSU position determination
Solution Approach 1:
The system uses feedback from multiple passing vehicles to continuously refine and correct the RSU's position determination. By comparing localization information from multiple vehicles at different positions, the system can detect and compensate for errors in individual measurements, thereby improving overall positioning precision.
Solution Approach 2:
The system performs preliminary calculations by storing and processing localization information from multiple passing vehicles before finalizing the RSU position. This preliminary data collection and processing allows for error compensation and position refinement, improving the overall accuracy despite the inherent limitations of vehicle sensor accuracy and reaction time.
4Adaptability or versatility
If multiple localization information from vehicles are used to determine RSU position, then positioning is achieved, but errors from sensor accuracy and reaction time accumulate
Solution Approach 1:
The system uses feedback from multiple passing vehicles to continuously refine and correct the RSU's position determination. By comparing localization information from multiple vehicles at different positions, the system can detect and compensate for errors in individual measurements, thereby improving overall positioning precision.
Solution Approach 2:
The system performs preliminary calculations by storing and processing localization information from multiple passing vehicles before finalizing the RSU position. This preliminary data collection and processing allows for error compensation and position refinement, improving the overall accuracy despite the inherent limitations of vehicle sensor accuracy and reaction time.
Data Source
AI summary
The present invention relates to a method to improve the precision of a position information of a roadside unit (RSU), the RSU at least comprising a data communication unit, a memory unit and a processor unit, wherein a saved RSU position is saved in the memory unit as position information of the RSU. Further, the present invention relates to a roadside unit (RSU), at least comprising a data communication unit, a memory unit and a processor unit. In addition, the present invention relates to a system to provide position information in an area, preferably in respect of an advanced driver assistant system (ADAS) and/or autonomous driving.