Vehicle Lateral Control Modulation Weighting
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Solution Overview
Problem
Conventional vehicle lateral control systems cause uncomfortable feelings in drivers due to sudden steering control forces and inaccuracies in lane keeping, especially when switching between driver and system control, as they use uniform weighting for lane models and are heavily influenced by lane conditions and driver tendencies.
Innovation Solution
A vehicle lateral control system and method incorporating a camera, image processing device, and controller that analyze lane markers to establish a lane fitting curve with modulation weighting, adjusting the target weighting based on target distance and vehicle dynamics to generate a steering control weighting, allowing smooth switching of steering control between driver and system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If uniform weighting is used for the lane model to simplify calculation, then the system complexity is reduced, but the lane fitting accuracy deteriorates
Solution Approach 1:
The patent applies different weighting values to different sections of the lane model based on their reliability. Specifically, lane model sections with higher reliability (e.g., those with more detected lane markers) are assigned higher weights, while less reliable sections receive lower weights. This local differentiation of quality resolves the contradiction by improving accuracy through selective weighting without requiring complete recalculation of the entire system, thus managing complexity.
Solution Approach 2:
The patent dynamically adjusts the weighting parameters of the lane model based on detected conditions such as lane marker visibility, curvature, and detection confidence. By changing these parameters adaptively rather than using fixed uniform weights, the system achieves higher fitting accuracy while maintaining computational efficiency through parameter optimization rather than structural complexity.
2Speed
If rapid steering control force is applied to correct lane deviation quickly, then the response speed is improved, but the driver comfort deteriorates due to sudden control forces
Solution Approach 1:
The patent implements dynamic adjustment of steering control force based on the magnitude of lane deviation and the rate of change of deviation. When deviation is small, the control force is applied gradually; when deviation is large, stronger correction is applied but with smooth transition. This dynamic approach allows the system to respond quickly to significant deviations while maintaining driver comfort through adaptive force modulation rather than fixed rapid correction.
Solution Approach 2:
The patent applies steering control force in a periodic or phased manner rather than as a single sudden input. The control system continuously monitors lane position and applies incremental steering corrections over multiple control cycles, allowing the vehicle to return to the lane center smoothly. This periodic action resolves the contradiction by achieving correction speed through sustained control rather than instantaneous force.
3Measurement precision
If the vehicle strictly follows the reference keeping position to improve lane keeping precision, then the lane keeping accuracy is improved, but the system becomes overly sensitive to lane conditions and driver tendencies
Solution Approach 1:
The patent adjusts the target position parameters dynamically based on detected lane conditions, vehicle speed, and driver behavior patterns. Rather than maintaining a fixed reference keeping position, the system modifies these parameters adaptively to account for varying lane markings, curvature, and driver preferences. This resolves the contradiction by maintaining high accuracy through precise positioning while preserving adaptability through parameter flexibility.
Solution Approach 2:
The patent incorporates feedback mechanisms that continuously monitor lane detection quality, vehicle response, and driver inputs. Based on this feedback, the system adjusts the reference keeping position and weighting parameters to optimize both accuracy and adaptability. When lane conditions are clear, the system follows the lane center precisely; when conditions are ambiguous or driver input suggests alternative positioning, the system adapts accordingly.
Data Source
AI summary
A vehicle lateral control system having a lane model with modulation weighting for controlling a vehicle includes a camera, an image processing device, a controller and a steering device. The camera is configured to capture a front image of the vehicle to generate a front image dataset. The front image dataset is analyzed by the image processing device to obtain a plurality of lane markers, and the image processing device establishes a lane fitting curve according to the lane markers and a target weighting. The controller has a plurality of vehicle dynamic parameters and a target distance. The target weighting is changeable according to the target distance. The controller generates a steering control weighting according to the lane fitting curve and the vehicle dynamic parameters. The steering device is configured to control a turning direction of the vehicle according to the steering control weighting.


