Vehicle Sensor Fallback Control for Cut-In Deceleration
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Solution Overview
Problem
Existing vehicle control systems face issues with frequent and intense decelerations due to sensor failures, causing discomfort to drivers and potential safety hazards when sensors used for detecting objects around the vehicle malfunction.
Innovation Solution
A vehicle controller that prioritizes a higher-priority sensor for object detection and decelerates the vehicle based on signals from a lower-priority sensor when the higher-priority sensor fails, with differentiated deceleration strategies depending on the detected object's position relative to the vehicle, thereby reducing the frequency of intense decelerations and preventing collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle decelerates strongly every time a sensor fails, then safety is improved, but driver comfort deteriorates due to frequent deceleration
Solution Approach 1:
The patent applies local quality by differentiating deceleration control based on the spatial position of detected objects. When an object is detected in the danger area (front region), strong deceleration is applied; when detected in the side region, mild deceleration is applied. This resolves the contradiction by making the safety response adaptive to the specific location of the hazard rather than uniformly strong deceleration.
Solution Approach 2:
The patent implements dynamics by making the deceleration control flexible and adaptive based on real-time sensor data and object position. The control system dynamically adjusts the deceleration magnitude according to whether the object is in the danger area or side area, rather than using a fixed strong deceleration response. This dynamic adjustment maintains safety while reducing unnecessary strong decelerations that cause driver discomfort.
2Measurement precision
If the vehicle uses a higher-priority sensor for detection, then detection accuracy is improved, but system complexity increases due to hierarchical sensor management
Solution Approach 1:
The patent applies segmentation by dividing the sensor system into hierarchical levels (first sensor with higher priority, second sensor with lower priority). Each sensor has a specific role and priority level, allowing the system to manage multiple sensors through structured segmentation rather than complex integrated processing. This reduces system complexity while maintaining detection accuracy through the primary sensor.
Solution Approach 2:
The patent implements inversion by using the lower-priority second sensor to detect objects and then determining whether they require strong or mild deceleration based on position, rather than relying solely on the higher-priority first sensor for all decisions. This inverted approach allows the system to use simpler sensor data processing while achieving accurate and context-appropriate control responses.
Data Source
AI summary
A vehicle controller includes a processor configured to sense trouble with a first sensor among sensors that are capable of detecting objects around a host vehicle and whose sensing areas at least partially overlap, detect another vehicle traveling in an area around the host vehicle, based on sensor signals from the respective sensors, and decelerate the host vehicle at first deceleration in the case where trouble with the first sensor is sensed and where the other vehicle is detected on the basis of a sensor signal from a second sensor having lower priority than the first sensor in sensing the other vehicle cutting in front of the host vehicle.