Vehicle Trajectory Frequency Analysis for Lateral Stability Assessment
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Solution Overview
Problem
Current autonomous driving systems lack effective methods for assessing lateral stability, which is crucial for maintaining a stable position within a lane and avoiding confusion for other drivers, especially in testing and trajectory assessment scenarios.
Innovation Solution
A method for assessing lateral stability involves determining a time-varying lateral position signal, computing its evolving frequency spectrum, and analyzing it to extract a lateral stability signal, which can be applied in both real and simulated scenarios to evaluate the vehicle's ability to maintain a stable lateral position, using peak detection and noise floor analysis to quantify stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If automated lane keeping systems are implemented to maintain vehicle position within a lane, then lateral stability is improved, but the complexity of the control system increases
Solution Approach 1:
The patent replaces complex mechanical control system analysis with signal processing methods. By transforming lateral position data into frequency domain representations and analyzing spectral characteristics, the system assesses lateral stability through mathematical operations rather than complex mechanical modeling, thereby reducing control system complexity while maintaining stability assessment capability.
Solution Approach 2:
The patent changes the representation parameters of lateral position data from spatial domain to frequency domain. By computing the evolving frequency spectrum and analyzing spectral features (such as power distribution across frequencies), the system extracts stability information through parameter transformation, simplifying the stability assessment process while improving the robustness of lateral stability evaluation.
2Measurement precision
If comprehensive trajectory assessment methods are implemented to evaluate lateral stability, then measurement precision is improved, but the computational requirements and device complexity increase
Solution Approach 1:
The patent substitutes complex mechanical measurement systems with computational signal processing. By using Fourier transforms and spectral analysis on existing lateral position data, the system achieves precise lateral stability measurement without requiring additional complex hardware, thereby improving measurement precision while controlling device complexity through software-based solutions.
Solution Approach 2:
The patent adds a frequency dimension to the analysis of lateral position data. By transforming the one-dimensional spatial position signal into a two-dimensional frequency spectrum (frequency vs. time), the system extracts additional stability information that enhances measurement precision. This dimensional transformation allows comprehensive stability assessment while using standard computational resources.
3Reliability
If real-time lateral stability assessment is implemented during autonomous driving operations, then safety is improved, but the computational load and processing time increase
Solution Approach 1:
The patent implements periodic assessment by computing the evolving frequency spectrum at discrete time intervals rather than continuously. By analyzing spectral characteristics at regular intervals and tracking changes over time, the system achieves real-time safety monitoring with manageable computational load, balancing safety requirements against processing time constraints through periodic rather than continuous analysis.
Solution Approach 2:
The patent performs preliminary signal processing by pre-computing the frequency spectrum from lateral position data before stability assessment. By preparing the frequency domain representation in advance and then analyzing spectral features for stability determination, the system reduces critical processing time during actual safety assessment operations, enabling faster real-time responses while maintaining comprehensive analysis capability.
Data Source
AI summary
A method of assessing lateral stability of a moving vehicle in a real or simulated driving scenario comprises: determining a time-varying lateral position signal for the moving vehicle; computing an evolving frequency spectrum of the time-varying lateral position signal over a moving window across the time-varying lateral position signal; and analysing the evolving frequency spectrum to extract a lateral stability signal that indicates an extent to which the moving vehicle is maintaining a stable lateral position.