Electromagnetic Response Simulator for Arbitrary Road Profiles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current electromagnetic response models for radar simulations are too complex or slow, and often fail to accurately simulate real-world electromagnetic responses, especially when dealing with non-flat road surfaces, leading to discrepancies between sensor measurements and simulated data.
Innovation Solution
An electromagnetic response simulator that receives the position and orientation of a radar sensor and a target, along with a geometric profile of the road surface, estimates reflection points using an optimization algorithm, translates positions into local coordinates, and computes electromagnetic responses using a shooting and bouncing rays method based on image theory, to accurately simulate electromagnetic responses for arbitrary road profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing electromagnetic response models are used, then simulation speed is maintained, but simulation accuracy deteriorates due to inability to accurately simulate real-world electromagnetic responses
Solution Approach 1:
The patent changes the mathematical parameters of the electromagnetic response model by adopting a closed-form solution with modified reflection point calculation that incorporates road surface elevation variance. This allows the model to achieve higher accuracy by accounting for arbitrary road profiles while maintaining computational efficiency through analytical solutions rather than numerical methods.
Solution Approach 2:
The patent applies local quality by transforming the global coordinate system to local coordinate systems at each reflection point. This allows the electromagnetic response calculation to be performed in locally adapted coordinate frames that account for the specific orientation and elevation of road surface segments, improving accuracy without requiring a complete redesign of the global simulation framework.
2Measurement precision
If complex electromagnetic response models are used, then simulation accuracy improves, but model complexity increases making them too slow for some simulation environments
Solution Approach 1:
The patent extracts the essential physical phenomena needed for accurate electromagnetic response simulation while eliminating unnecessary computational complexity. By focusing on the key factors of reflection point calculation and coordinate transformation, the model achieves accuracy without the burden of overly complex mathematical formulations.
Solution Approach 2:
The patent replaces complex numerical computation methods with closed-form analytical solutions. This substitution of computational mechanics allows the model to maintain high accuracy while significantly reducing computational burden, making it suitable for real-time or near-real-time simulation environments.
3Productivity
If simple electromagnetic response models are used, then computational resources are minimized, but accuracy deteriorates failing to simulate real-world electromagnetic responses
Solution Approach 1:
The patent performs preliminary coordinate transformations and establishes local coordinate systems at estimated reflection points before conducting the main electromagnetic response calculation. This preliminary preparation work organizes the computational framework in advance, enabling efficient and accurate calculations during the main simulation process without redundant computations.
4Reliability
If arbitrary road surface profiles are incorporated, then realism of simulation improves, but computational complexity increases
Solution Approach 1:
The patent introduces dynamics by allowing the road surface profile to be arbitrary and variable rather than fixed or simplified. The model dynamically adapts to different road geometries by estimating reflection points and transforming coordinates based on the specific elevation variance present in each simulation scenario, enabling realistic simulation without requiring a fixed complex framework.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for more accurate simulation of real-world electromagnetic responses with minimal increase in computational resources, effectively addressing the limitations of existing models by incorporating elevation variances in road surfaces, thus improving the accuracy of radar system performance evaluation.
Implementation Method 1
computing electromagnetic responses based on the positions of the electromagnetic sensor and the target in the respective local coordinate system of each estimated reflection point
Data Source
AI summary
This document describes techniques and systems for electromagnetic response simulation for arbitrary road surface profiles. An electromagnetic response simulator receives a position and an orientation of both an electromagnetic sensor (e.g., radar sensor) and a target, and a geometric profile of a road surface. The road surface may vary in elevation in the lateral and/or longitudinal directions. The electromagnetic response simulator estimates reflection points of electromagnetic rays along the geometric profile of the road surface and translates the positions and the orientations of the electromagnetic sensor and the target into respective local coordinates corresponding to each reflection point. The electromagnetic responses can then be calculated, corresponding simulated rays can be output to a sensor simulator. In this manner, the variance in elevation of a road surface can be included in generating simulated rays, and the electromagnetic response simulator may more accurately simulate real-world electromagnetic responses.


