Vehicle Steering Control Apparatus Using Map-Referenced Limiting
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Solution Overview
Problem
Existing vehicle steering control systems face challenges in accurately executing lane-keeping and deviation prevention controls, particularly at high speeds, due to limitations in recognizing road parameters and controlling steering angles effectively.
Innovation Solution
A vehicle steering control apparatus that calculates a target steering control amount based on both image information and vehicle position data, using a combination of feedforward and feedback controls, and limits the steering control to ensure accurate lane following and deviation prevention without over-limiting road parameters or control amounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the steering control amount is calculated based on image information only, then the lane-keeping control can be executed, but the control accuracy deteriorates at high speeds due to road parameter recognition errors
Solution Approach 1:
The patent combines two different control amount calculation methods: one based on image information (lane recognition) and another based on map information (road curvature data). By merging these approaches, the system leverages the strengths of both methods to achieve accurate lane-keeping control at various speeds while avoiding the limitations of using either method alone.
Solution Approach 2:
The system implements a feedback mechanism where the control amount calculated from map information serves as a reference to correct and limit the control amount derived from image information. This feedback loop ensures that recognition errors in image-based lane detection are compensated, particularly at high speeds where such errors have greater impact.
2Measurement precision
If the steering control is limited based on map information, then the control accuracy is improved, but the responsiveness and performance are reduced due to unnecessary limitations on control amounts
Solution Approach 1:
Instead of applying fixed or excessive limitations to the steering control amount, the system applies partial limitations only when necessary. The map information-based control amount acts as a reference to provide适度 (moderate) correction, allowing full responsiveness when image recognition is accurate while providing just enough limitation to correct recognition errors, thus avoiding unnecessary constraints on control performance.
Data Source
AI summary
A vehicle steering control apparatus obtains lane information of a traveling lane and performs, based on the lane information, a steering control. The vehicle steering control apparatus includes a first-target-control-amount calculator, a second-target-control-amount calculator, a limit value calculator, and a steering control executing unit. The first-target-control-amount calculator calculates, based on image information, a target control amount of the steering control as a first target control amount. The second-target-control-amount calculator calculates, based on own vehicle position information and map information, a target control amount of the steering control as a second target control amount. The limit value calculator calculates a limit value of the first target control amount, based on the second target control amount as a reference. The steering control executing unit limits the first target control amount by the limit value, and executes the steering control, based on the limited first target control amount.


