Vehicle Positioning Key-In-Between Algorithm Strategy
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Solution Overview
Problem
Existing vehicle positioning methods require high computing power, especially in areas like tunnels and urban canyons, making it economically unjustifiable to provide the necessary hardware for precise localization.
Innovation Solution
The method employs a 'key-in-between' concept using two algorithms: a complex algorithm for high-precision absolute position determination and a simpler, resource-saving algorithm for in-between position calculation, reducing computational load while maintaining high-quality location data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a complex and computationally intensive algorithm is used for vehicle localization, then measurement precision of positional data is improved, but use of energy and computing power increases
Solution Approach 1:
The patent segments the positioning process into two distinct algorithms: a complex algorithm for determining absolute key positions and a simple algorithm for calculating in-between positions. This segmentation allows the system to use high computational resources only when necessary (at key positions) and low computational resources during normal operation (between key positions), thereby resolving the contradiction between positioning accuracy and energy consumption.
2Measurement precision
If high-precision vehicle localization is implemented throughout all locations, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies local quality by using different algorithmic approaches for different spatial-temporal contexts: complex algorithms are applied at key positions (tunnel entrances/exits, urban canyons) where high precision is critical, while simple algorithms are used for in-between positions where lower precision is acceptable. This resolves the contradiction by making the system's computational complexity adaptive to local requirements rather than uniformly high everywhere.
3Use of energy by moving object
If a simple algorithm is used for position determination, then use of energy is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent implements periodic action by systematically alternating between complex and simple algorithms at regular intervals (at key positions versus between key positions). The complex algorithm is executed periodically at key positions to establish accurate reference points, while the simple algorithm is used in between these periodic updates. This periodic switching resolves the contradiction by ensuring high precision is maintained at critical moments while energy consumption is reduced during normal operation.
Data Source
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AI summary
The invention relates to a method for determining positional data (15) of a motor vehicle (2), comprising the steps: - determining positional data (15) at a first point in time (106) based on a first algorithm (54), vehicle dynamics data (16) describing a movement of the vehicle (2) and an absolute position (12) of the vehicle (2) being merged, and - determining the positional data (15) at a second point in time (107) based on a second algorithm (54') which is different from the first algorithm (54).