Autonomous Driving Control with Sensor-Based Parameter Adaptation
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Solution Overview
Problem
Existing autonomous driving control systems fail to adapt control parameters dynamically based on vehicle performance changes, leading to potential critical situations due to sensor abnormalities or unfavorable driving conditions, and exhibit inconsistent behavior across different vehicle types.
Innovation Solution
An autonomous driving control apparatus that adjusts control parameters based on sensor performance verification and driving performance verification, including adjustments for stopped vehicle response control, using information from sensors, internal vehicle data, geographic data, and driving conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous driving control apparatus uses fixed control parameters without adapting to sensor performance changes, then the control algorithm remains simple and stable, but the system reliability deteriorates when sensor performance deteriorates or driving conditions change
Solution Approach 1:
The control parameters are transformed from fixed static values to dynamic adjustable values that change based on real-time sensor performance verification results. The controller continuously monitors sensor performance and adjusts control parameters accordingly, making the control system adaptive to changing conditions while maintaining manageable complexity through structured adjustment rules
Solution Approach 2:
A feedback mechanism is introduced where the sensor performance verification information flows back to the controller, which then adjusts the control parameters. This closed-loop feedback system ensures that control parameters remain appropriate for current sensor performance levels, improving reliability without requiring complex predictive models
2Ease of operation
If the autonomous driving control apparatus notifies the user of performance changes, then the user convenience improves, but the system fails to provide direct control adaptation which is needed for safe operation
Solution Approach 1:
The control system performs self-adjustment by automatically modifying control parameters based on sensor performance verification results. Instead of relying on user awareness and manual intervention, the system serves itself by detecting performance changes and adapting control accordingly, ensuring safety without requiring user action
Solution Approach 2:
The control parameters are adjusted automatically based on feedback from sensor performance verification. This closed-loop control ensures that safety-critical adaptations occur autonomously in real-time, while user notification serves only as informational complement rather than control mechanism
3Adaptability or versatility
If the autonomous driving control apparatus uses the same control parameter for different vehicle types and conditions, then the control algorithm remains simple, but the adaptability to different vehicles and conditions deteriorates
Solution Approach 1:
The system adjusts control parameters based on sensor performance verification results rather than creating separate control algorithms for different vehicle types. By using parameter changes driven by performance data, the system achieves adaptability across different vehicles and conditions while maintaining a unified control framework that limits complexity
Data Source
AI summary
An embodiment of an autonomous driving control apparatus includes a sensor device, a memory, and a controller. The autonomous driving control apparatus may obtain sensor performance verification information based on identification information of at least one object identified using the sensor device, obtain driving performance verification information including internal information of a host vehicle, external information of the host vehicle, geographic information of the host vehicle, driving information of the host vehicle, or any combination thereof, and adjust at least one control parameter for driving control of the host vehicle based on the sensor performance verification information and/or the driving performance verification information.


