Swarm Trajectory Accuracy Mapping for Reliable Vehicle Positioning
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Solution Overview
Problem
Existing GNSS receivers provide inaccurate or inconsistent accuracy values, leading to unreliable position data for vehicles, which affects the precision of navigation and control systems.
Innovation Solution
A method to assess the accuracy of swarm trajectory positions by forming a standard deviation from multiple ego trajectories, generating a swarm trajectory with associated accuracy coefficients, and creating a map for trailing vehicles to improve positioning and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GNSS receivers use different methods to compute position accuracy, then position accuracy values are provided, but the accuracy values become inconsistent and unreliable across different manufacturers
Solution Approach 1:
The patent combines position data from multiple GNSS receivers into a swarm trajectory, merging individual measurements to create a collective position estimate. By fusing data from multiple sources, the system achieves more reliable and consistent accuracy assessment than any single receiver could provide independently.
Solution Approach 2:
The patent introduces an intermediary processing system that receives raw position data from multiple GNSS receivers, computes swarm trajectory positions, and generates standardized accuracy coefficients. This intermediary layer translates inconsistent manufacturer-specific accuracy values into a unified, comparable format using standard deviation calculations.
2Productivity
If inaccurate accuracy values are used to weight position data, then position fusion can be performed, but the results become inaccurate or incorrect
Solution Approach 1:
The patent implements a feedback mechanism where the computed swarm trajectory accuracy coefficients are fed back into the position fusion process. These accuracy coefficients, derived from standard deviation calculations, provide reliable weighting factors that improve the accuracy of subsequent position fusion operations, creating a self-correcting system.
Solution Approach 2:
The patent changes the parameter used for weighting from manufacturer-provided accuracy values to computed standard deviation-based accuracy coefficients. This parameter transformation converts unreliable, inconsistent accuracy metrics into reliable, standardized weighting factors that correctly reflect the actual precision of position measurements.
3Measurement precision
If multiple ego trajectories are captured and processed to form swarm trajectories, then position accuracy is improved, but computational complexity and data processing requirements increase
Solution Approach 1:
The patent segments the computation into distinct stages: capturing individual ego trajectories, computing swarm trajectory positions at predefined values, calculating standard deviations for accuracy coefficients, and storing results. This segmentation allows the complex processing to be distributed and managed in manageable steps, reducing overall system complexity.
Solution Approach 2:
The patent performs preliminary computations by pre-calculating swarm trajectory positions at predefined swarm trajectory values before actual navigation use. By preparing accuracy coefficients in advance and storing them in a map structure, the system avoids performing complex calculations in real-time, reducing computational burden during critical navigation operations.
Data Source
AI summary
The invention relates to a computer-implemented method for assessing the accuracy of a swarm trajectory position (xi, yi), defined by a processing device (18), of a swarm trajectory (xi, yi) on a defined road section (10), wherein a multiplicity of ego trajectory positions (xn, yn) are captured and swarm trajectory positions (xi, yi) are generated therefrom, wherein a standard deviation (σi) is formed for each formed swarm trajectory value (xi) of the swarm trajectory (xi, yi) and the generated swarm trajectory positions (xi, yi) and a respectively associated accuracy coefficient (KG) are then stored as a pair for each swarm trajectory position (xi, yi), wherein the accuracy coefficients (KG) are proportional to the standard deviations (σi). The invention furthermore relates to a computer-implemented method for controlling a trailing vehicle (12), to a computer-implemented method for determining a position of a trailing vehicle (26) on the defined road section (10), to a control system for controlling the trailing vehicle (26), and to a computer program product, which use the method for assessing accuracy.