Adaptive Cruise Control Turning-Off Vehicle Recognition
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Solution Overview
Problem
Current adaptive cruise control systems in vehicles often experience unnecessary braking due to incorrect recognition of preceding vehicles turning off, leading to unpleasant driving experiences and potential safety issues.
Innovation Solution
A method that detects preceding vehicles using a surroundings sensor system, determines a vehicle turning off probability based on various criteria, and marks the vehicle as turning off if the probability meets a predetermined threshold, allowing for adaptive control adjustments to prevent excessive braking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If adaptive cruise control continuously brakes to maintain distance from preceding vehicle, then safety distance is ensured, but unnecessary braking occurs causing unpleasant driving experience
Solution Approach 1:
The system performs preliminary detection of turning-off behavior by analyzing multiple criteria (lateral acceleration, lane position, curvature) before the vehicle actually turns off. This early detection allows the ACC system to prepare for upcoming distance changes, preventing unnecessary reactive braking and improving both safety and comfort
2Reliability
If adaptive cruise control maintains strict distance regulation, then collision prevention is achieved, but excessive braking occurs when preceding vehicle turns off
Solution Approach 1:
The system introduces feedback from multiple sensors (camera, radar, GPS) to continuously monitor preceding vehicle behavior and road geometry. This feedback loop enables the ACC controller to distinguish between normal distance variations and actual collision risks, reducing harmful excessive braking while maintaining collision prevention
Solution Approach 2:
The system dynamically changes the distance regulation parameters based on detected turning-off probability. When a vehicle is identified as turning off (through lateral acceleration, lane position, and curvature analysis), the ACC system adjusts its control parameters to accommodate the expected distance increase, eliminating unnecessary braking interventions
3Measurement precision
If surrounding sensors continuously monitor preceding vehicle, then accurate detection is achieved, but false recognition of turning off occurs
Solution Approach 1:
The system segments the detection process into multiple independent criteria: lateral acceleration analysis, lane position monitoring, road curvature detection, and camera-based vehicle orientation assessment. By evaluating each criterion separately and requiring consensus across multiple segments, the system reduces false recognition while maintaining precise vehicle position detection
Solution Approach 2:
The system employs dynamic threshold adjustment for turning-off detection based on current driving conditions, road geometry, and sensor data quality. The detection thresholds adapt in real-time to distinguish genuine turning-off maneuvers from normal driving variations, improving recognition accuracy while maintaining continuous monitoring capability
Data Source
AI summary
A method for recognizing an object which is turning off includes detecting a vehicle in front by way of a surroundings sensor system of an ego vehicle; determining a probability of the vehicle in front turning off; and marking the vehicle in front as an object which is turning off when the probability of turning off is equal to or greater than a predetermined threshold value.