Vehicle Lateral Control with Dynamic Calibration
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Solution Overview
Problem
SAE Level 2 automated-driving systems require factory-calibrated settings that may not suit specific weather or road conditions, leading to reduced passenger comfort and potential safety issues as drivers may deactivate automated modes due to unnatural handling.
Innovation Solution
A vehicle lateral-control system with dynamically adjustable calibrations, using a controller circuit that receives weather and vehicle data to adjust lateral-control features such as automatic lane-change and lane-centering, optimizing vehicle handling and reducing errors from the lane centerline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If factory-set calibration values are used for automated-driving features, then the system can operate with a standardized configuration, but the handling may feel unnatural or inappropriate for specific weather and road conditions
Solution Approach 1:
The calibration values are made dynamic rather than static. The system continuously adjusts calibration parameters based on real-time weather data, road condition data, and vehicle state data. This allows the automated-driving features to adapt to changing environmental conditions while maintaining a standardized base configuration, resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The system changes calibration parameters based on environmental conditions. Different weather conditions (rain, snow, fog) and road conditions (wet, dry, icy) trigger specific calibration adjustments. This allows the system to maintain natural handling across diverse conditions without requiring a completely different calibration system for each scenario.
2Ease of operation
If a single set of calibration values is selected to meet overall vehicle-handling requirements, then the calibration system remains simple, but it may not be ideal for specific driving conditions leading to reduced passenger comfort
Solution Approach 1:
The system performs self-calibration by automatically selecting appropriate calibration values based on sensor inputs. The controller circuit receives weather data, road condition data, and vehicle state data, then autonomously adjusts calibration parameters without requiring manual intervention from the driver. This improves passenger comfort while keeping the system simple to operate.
Solution Approach 2:
The system uses feedback from multiple sensors (weather sensors, road condition sensors, vehicle state sensors) to continuously monitor environmental conditions and adjust calibration values accordingly. This closed-loop approach ensures optimal passenger comfort across varying conditions while maintaining straightforward operation through automatic adjustment.
3Reliability
If drivers deactivate automated-driving mode due to unnatural handling, then driver control and safety are maintained, but the benefits of automated-driving features are lost
Solution Approach 1:
The system changes handling parameters dynamically based on environmental conditions to create more natural vehicle behavior. By adjusting calibration values for steering response, lane-centering force, and lane-change smoothness according to weather and road conditions, the system maintains both safety and naturalness, preventing driver deactivation while preserving automated-driving benefits.
Data Source
AI summary
The techniques of this disclosure relate to a vehicle lateral-control system with dynamically adjustable calibrations. The system includes a controller circuit that receives weather data for a geographic region traveled by a vehicle. The controller circuit receives image data from a camera of a roadway traveled by the vehicle in the geographic region. The controller circuit receives vehicle-state data from one or more vehicle sensors indicating an operating condition of the vehicle on the roadway in the geographic region. The controller circuit adjusts a calibration of vehicle lateral-control features based on the weather data, the image data, and the vehicle-state data. The controller circuit operates the vehicle on the roadway based on the adjusted calibration. The system can increase passenger comfort or reduce an error from a lane centerline when the vehicle is operated in an autonomous-driving mode, which can improve operational safety.