Vehicle Steering Controller Road Shape Approximation
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Solution Overview
Problem
Existing steering controllers face challenges in accurately recognizing and controlling vehicle steering when transitioning between curved and linear road sections, leading to potential steering delays and unpleasant driving sensations due to mismatched curvature approximations.
Innovation Solution
A vehicle steering controller that uses a camera to capture road images, employing a shape recognizer to perform first and second approximations using monomials or polynomials of varying degrees to accurately identify transitional road sections, allowing for adaptive steering control by switching between approximation methods based on road shape changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If first approximation (monomial or polynomial of degree one or two) is used to recognize road shape, then calculation load is reduced and processing speed is improved, but approximation accuracy deteriorates when driving on transitional sections between curved and linear road sections
Solution Approach 1:
The system dynamically switches between first approximation (degree one or two) and second approximation (degree three or higher) based on real-time detection of road shape characteristics. When transitional sections are detected, the system automatically uses higher-degree polynomials to maintain accuracy while using simpler polynomials for straightforward sections to optimize processing speed.
Solution Approach 2:
The system changes the parameter of polynomial degree based on road section characteristics. By detecting curvature changes and switching between approximation methods with different degrees, the system adapts the complexity of calculation to match the complexity of the road geometry, resolving the contradiction between speed and accuracy.
2Measurement precision
If second approximation (monomial or polynomial of degree three or higher) is used to recognize road shape, then approximation accuracy is improved for transitional sections, but calculation load increases
Solution Approach 1:
The system applies second approximation only partially to specific sections where needed (transitional sections with sudden curvature changes) rather than universally to all road sections. This selective application maintains high accuracy where required while avoiding unnecessary computational overhead in straightforward sections.
Solution Approach 2:
The system changes the computational parameter (polynomial degree) based on detected road characteristics. By using higher-degree polynomials only when transitional sections are detected, the system achieves high accuracy when needed while minimizing overall calculation load.
3Ease of operation
If steering control is based on fixed approximation method, then control simplicity is maintained, but steering accuracy deteriorates when road shape changes suddenly
Solution Approach 1:
The system dynamically adjusts the approximation method based on real-time road shape detection. When sudden curvature changes are detected indicating transitional sections, the system automatically switches to higher-degree polynomial approximation to maintain steering accuracy, while using simpler methods for stable road sections.
Solution Approach 2:
The system continuously monitors detected road shape characteristics and uses this feedback to determine when to switch between approximation methods. This feedback mechanism ensures steering accuracy is maintained by adapting the approximation degree to match actual road conditions.
Data Source
AI summary
A vehicle steering controller includes a shape recognizer that recognizes a shape of a road on the basis of a captured image, a steering control unit that controls steering of a vehicle on the basis of the shape of the road recognized by the shape recognizer, and a determiner that determines whether or not the shape of the road recognized by the shape recognizer is that of a transitional section between a curved road section and a linear road section. If the determination made by the determiner is negative, then the shape recognizer recognizes the shape of the road by performing an approximation using an approximation expression having a degree of one or two, otherwise the shape recognizer recognizes the shape of the road by performing an approximation using an approximation expression having a degree of three.