Vehicle Localization Cross-Checking With Infrastructure Position Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Precise vehicle localization is hindered by obstructions like vegetation and buildings, which impair GNSS data reception, and requires correction data for accurate positioning, especially in networked motor vehicles designed for semi-automated driving.
Innovation Solution
A method that combines on-board localization systems with external infrastructure data to continuously check and compensate for faulty localization sources, using a comparison of first and second localization results to ensure reliable positioning, even in areas where GNSS data is unavailable, by integrating communication and computing units to receive and process external localization information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GNSS data are used for vehicle localization, then position determination is enabled, but reception is impaired by vegetation and buildings leading to reduced precision
Solution Approach 1:
The patent combines multiple localization sources (GNSS, infrastructure-based localization, and environment sensor system) into a unified localization system. The on-board localization system integrates data from global navigation satellite systems and feature-based localization methods, while external infrastructure systems provide additional localization data, creating a redundant and robust multi-source localization architecture that compensates for GNSS signal obstructions
Solution Approach 2:
The patent introduces infrastructure-based localization systems as intermediaries between the vehicle and the environment. Roadside units with stationary sensors act as mediators that provide localization data to the vehicle, enabling the vehicle to determine its position indirectly through infrastructure-mediated measurements rather than direct satellite reception, thus bypassing the harmful effect of signal obstructions
2Reliability
If multiple on-board localization sources are used, then localization reliability is improved, but device complexity increases
Solution Approach 1:
The patent implements continuous checking of the on-board localization system using external infrastructure localization data as feedback. The system compares first localization results (from on-board systems) with second localization results (from infrastructure systems) to detect faults in real-time, creating a closed-loop feedback mechanism that maintains reliability while managing complexity through systematic validation
Solution Approach 2:
The patent segments the localization system into distinct functional modules: on-board localization sources (GNSS and feature-based methods), external infrastructure localization sources, and a checking mechanism. This segmentation allows each component to be independently optimized and managed, reducing overall system complexity while maintaining high reliability through modular redundancy
3Measurement precision
If external infrastructure localization data are integrated, then accuracy is improved in GNSS-denied environments, but loss of information occurs when infrastructure data are unavailable
Solution Approach 1:
The patent prepares for potential infrastructure data unavailability by implementing continuous monitoring and fault detection mechanisms. The system checks the availability and quality of external localization information in advance and has pre-configured fallback options using on-board localization sources, cushioning against the loss of information that would occur if infrastructure data become unavailable
Data Source
AI summary
A method for the localization of a networked motor vehicle. The motor vehicle is designed to be driven in an at least semi-automated manner. The method includes: a first localization of the motor vehicle is carried out using on-board localization systems and first localization results are generated. In addition, external localization information is received by the motor vehicle from a source outside the vehicle, such as an infrastructure system. A second localization of the motor vehicle is then carried out using the received localization information. The received external localization information can include second localization results, or second localization results are generated from the received external localization information. The first localization is checked, in particular continuously, via the second localization, in particular by a comparison of the first and second localization results.