Digital Topographical Position Map with Average and Distribution Limits
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Solution Overview
Problem
Existing self-learning digital map technologies face challenges in producing precise maps due to uncertainties in sensor data, making it difficult to accurately represent vehicle surroundings.
Innovation Solution
An apparatus and method that utilize a processor to calculate an average topographical position and store additional positions based on sensor data, including distribution limits and deviations, to efficiently create a digital topographical position map, which can include handling and surroundings information, and can be self-learning and continuously updated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If self-learning digital maps are produced based on sensor data, then the map can be continuously updated and improved, but the precision of the map is reduced due to uncertainties in sensor data
Solution Approach 1:
The patent segments the single position value into multiple components: an average topographical position and at least one further topographical position representing distribution limits. This segmentation allows the system to store both the central tendency and the uncertainty bounds separately, thereby maintaining map precision while supporting continuous updates from sensor data.
Solution Approach 2:
The patent changes the parameter representation from a single position value to a set of parameters including average position, distribution limits, and potentially deviation values. This parameter transformation enables the system to capture both the estimated position and the uncertainty associated with sensor measurements, resolving the contradiction between adaptability and precision.
2Productivity
If only the average topographical position is stored in the digital map, then the map production is efficient and simple, but additional information regarding vehicle handling or surroundings is lost
Solution Approach 1:
The patent extracts additional information from the sensor data distribution by identifying and storing further topographical positions that represent distribution limits. These extracted positions contain valuable information about vehicle handling characteristics and surroundings that would be lost if only the average position were stored, while maintaining efficient map production processes.
3Measurement precision
If further topographical positions representing distribution limits are stored in the digital map, then additional information about vehicle surroundings is captured, but the complexity of map production increases
Solution Approach 1:
The patent applies preliminary action by pre-defining the structure for storing multiple topographical positions (average position and distribution limits) before actual map production begins. This preliminary framework allows the system to process sensor data and store multiple position representations systematically, reducing the complexity that would otherwise arise during the map production process itself.
Data Source
AI summary
An apparatus for producing a digital topographical position map in a vehicle comprises a receiver for receiving sensor data that specify different topographical positions of the vehicle, a processor that is designed to take the different topographical positions of the vehicle as a basis for sensing an average topographical position of the vehicle and at least one further topographical position of the vehicle, which differs from the average topographical position, wherein the processor is designed to produce the digital topographical position map on the basis of the average topographical position, and to store the at least one further topographical position in the digital topographical position map.