Vehicle ADAS Control for Estimated Object Speed and Parking Context
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Solution Overview
Problem
Advanced Driver Assistance Systems (ADAS) in vehicles malfunction when the speed of surrounding objects cannot be accurately measured, leading to potential collisions, especially when a vehicle is recognized as parked when it is not, causing incorrect functionality.
Innovation Solution
A vehicle control apparatus using detectors and cameras to determine collision risk by estimating the speed of surrounding objects and distinguishing between parking lot and road positions, employing a position determination module, speed determination unit, and collision risk determination module to control vehicle operations effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If LiDAR detector is used to measure speed of surrounding objects, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The camera system performs multiple functions: it detects surrounding objects, determines vehicle position (parking lot vs. road), and enables collision risk assessment. This multi-functional approach replaces the specialized LiDAR speed measurement function while maintaining ADAS effectiveness.
Solution Approach 2:
Instead of using LiDAR to directly measure speed, the system uses camera-based image processing to capture positional information of surrounding objects over time, then calculates speed from these copied visual data points, achieving speed measurement through an indirect but effective method.
2Reliability
If ADAS recognizes vehicle as parked on road, then false positive increases, but position determination accuracy decreases
Solution Approach 1:
The system segments the operating environment into distinct categories (parking lot vs. road) by analyzing specific environmental features detected by the camera. This segmentation allows the ADAS to apply different operational logic and collision risk thresholds appropriate to each location type, preventing false parked vehicle recognition.
Solution Approach 2:
The system performs preliminary position determination (identifying whether the vehicle is in a parking lot or on a road) before executing collision risk assessment. This preliminary classification ensures that subsequent ADAS functions are applied with appropriate parameters for the specific environment, improving both reliability and accuracy.
3Ease of operation
If collision risk determination uses only distance metric, then calculation simplicity is improved, but collision risk determination accuracy decreases
Solution Approach 1:
The system changes the parameters used for collision risk determination from a single distance metric to multiple parameters including calculated speed of surrounding objects and position context. This multi-parameter approach provides more accurate collision risk assessment while maintaining computational feasibility through the use of camera-based data.
Data Source
AI summary
A vehicle control apparatus estimates a speed of a surrounding object of a vehicle using a relative speed of the surrounding object, and thus, it is possible to prevent malfunction of the ADAS function and collision of the vehicle with the surrounding object even when the speed of the surrounding object cannot be measured. The vehicle control apparatus controls the vehicle by distinguishing whether a position of the vehicle is a parking lot, and thus, it is possible to prevent the malfunction of the ADAS.