Vehicle Localization Precision Filtering via Quality of Service Map
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Solution Overview
Problem
Conventional methods for vehicle localization in digital maps using environmental sensor data are inefficient in terms of memory and computing resources, particularly when vehicles travel through locations with varying localization precision, leading to unnecessary data transmission and processing.
Innovation Solution
A method that reads and outputs precision information from one vehicle to another, allowing for the efficient localization of vehicles by only transmitting localization information when the precision meets a specified minimum, and using a quality of service map to optimize storage and computing resources by selecting relevant landmarks for transmission based on localization precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If localization information is transmitted for all locations, then all vehicles can be localized everywhere, but memory and computing resources are wasted due to unnecessary data transmission and processing
Solution Approach 1:
The system implements location-specific quality differentiation by creating a quality of service map that assigns different localization quality levels to different geographic locations. Only locations meeting a minimum precision threshold are included in the localization information transmitted to vehicles, thereby avoiding unnecessary data transmission and processing for locations where precise localization cannot be achieved.
2Productivity
If precision information is evaluated and used to filter localization data, then computing efficiency is improved, but the system complexity increases due to additional evaluation and filtering steps
Solution Approach 1:
The system performs preliminary evaluation of localization precision by computing a quality of service map in advance that identifies which locations meet the minimum precision threshold. This pre-computation and filtering of valid locations occurs before localization information is transmitted to vehicles, thereby reducing the computational burden during actual localization operations while managing system complexity through structured preprocessing.
Data Source
AI summary
A method for providing an item of localization information for the localization of a further vehicle at a localization location. An item of precision information is read in that represents a degree of localization precision achieved in the localization of another vehicle at the localization location. In a further step, the item of localization information is outputted to an interface at the further vehicle, using the item of precision information.