Simulated Drivable Surface Smoothing With Lane-Based Corrections
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Solution Overview
Problem
Existing technologies for rendering simulated driving environments struggle with faceted road surfaces that do not accurately represent real-life road surfaces, leading to unrealistic vehicle behavior and resource-intensive data processing.
Innovation Solution
A surface smoothing process is applied to compute smoothing correction coefficients, comprising directional and cross-directional components, to transform faceted road surfaces into smooth drivable surfaces using lane ribbons and rib curves, reducing memory and computing requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional faceted road surface rendering is used, then the implementation is simple and direct, but the vehicle simulation behavior becomes unrealistic and the surface lacks smoothness
Solution Approach 1:
The patent applies preliminary action by pre-computing smoothing correction coefficients and storing them in a smoothing coefficients map before simulation. This allows the faceted road surface to be pre-smoothed through computed corrections, eliminating the need for complex real-time smoothing calculations during vehicle simulation while achieving realistic surface smoothness.
Solution Approach 2:
The patent segments the road surface representation into discrete lanelets with associated smoothing correction coefficients. Each lanelet is processed independently to compute its smoothing corrections, allowing the complex problem of overall road surface smoothing to be divided into manageable segments that can be computed and stored separately, then applied during simulation.
2Measurement precision
If detailed road surface data is used to achieve accurate surface representation, then the realism improves, but the memory and computing resources increase
Solution Approach 1:
The patent changes parameters by transforming detailed continuous road surface geometry into discrete smoothing correction coefficients that are stored in a map structure. This parameter transformation allows accurate road surface representation to be achieved through compact numerical corrections rather than storing extensive geometric data, significantly reducing memory and computing resources.
Solution Approach 2:
The patent creates a simplified copy of the road surface information in the form of smoothing correction coefficients that can be applied to baseline faceted surfaces. Instead of storing and processing complete high-resolution surface geometries, the system uses these coefficient copies to reconstruct smooth surfaces on-demand during simulation, reducing resource requirements while maintaining accuracy.
Data Source
AI summary
In various examples, one or more of the embodiments apply a path elevation smoothing process to navigable path surface data to derive road surface rendering data that may be used to define a drivable surface within a simulated driving environment. In some embodiments, a surface smoothing process computes smoothing correction coefficients that may be applied to a baseline road surface map. Using the smoothing correction coefficients, a plurality of points from the baseline road surface map may be projected to render a smoothed surface that may be used to generate the drivable surface. In some embodiments, smoothing correction coefficients may each comprise a directional correction component that smooths series-connected lanelets in the direction of travel of the road surface to produce a set of lane ribbons. The smoothing correction coefficients may each further comprise a cross-directional correction component that smooths across the set of lane ribbons.


