Lane Curvature Validation for Stable ADAS Vehicle Control
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Solution Overview
Problem
Conventional Advanced Driver Assist Systems (ADAS) malfunction when the curvature value of a lane is incorrectly recognized as changed suddenly, leading to improper vehicle control.
Innovation Solution
A driving assistance apparatus and method that verify the validity of recognized lane information by comparing current and previous curvature information, and apply replacement curvature information when abnormalities are detected to prevent vehicle control malfunctions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the conventional ADAS uses lane recognition information to control the vehicle, then the vehicle control function can be executed, but when the curvature value is incorrectly recognized as changed suddenly, the system malfunctions and stops the execution of the control function
Solution Approach 1:
The system performs preliminary verification of lane curvature recognition by comparing current curvature values with previously recognized curvature values before executing vehicle control functions. This preliminary check prevents malfunction by identifying and handling abnormal curvature changes in advance, ensuring reliable vehicle control execution.
Solution Approach 2:
The system implements a feedback mechanism where the currently recognized lane curvature information is continuously compared with previously recognized curvature information. When abnormal changes are detected through this feedback loop, the system appropriately handles the situation to prevent control function malfunction, thereby improving the reliability of vehicle control.
2Reliability
If the ADAS stops the execution of vehicle control function when curvature value changes suddenly, then it attempts to handle abnormal situations, but this causes malfunction when the curvature change is due to recognition error rather than real situation
Solution Approach 1:
The system performs preliminary verification by comparing current curvature values with historical curvature data before stopping control function execution. This preliminary action distinguishes between real curvature changes and recognition errors, allowing the system to maintain appropriate adaptability while ensuring control stability.
Solution Approach 2:
Through continuous feedback comparison between current and previous curvature recognition results, the system can accurately judge whether a sudden curvature change represents a real situation or a recognition error. This feedback mechanism enables appropriate responses that maintain both control stability and system adaptability.
Data Source
AI summary
A driving assistance apparatus includes one or more sensing devices installed on a vehicle and configured to acquire detection data with an outward field of sensing view from the vehicle, and a processor electrically or communicatively connected to the one or more sensing devices, wherein the processor acquires current curvature information about a traveling lane of the vehicle based on output data of the one or more sensing devices, and verifies validity of the current curvature information about the traveling lane based on a comparison between the current curvature information about the traveling lane and previous curvature information about the traveling lane.