Motor Vehicle Sensor Misalignment Detection via Overlap Zones
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Solution Overview
Problem
Existing sensor systems in motor vehicles face challenges in efficiently and accurately identifying misalignments due to unwanted changes in sensor orientation and position, which can lead to inaccurate object detection and compromised safety functions.
Innovation Solution
A method involving a sensor system with at least two sensors, where detection zones overlap to compare object positions and movements, allowing for rapid identification of misalignments by comparing ascertained positions and extents, and potentially using different types of sensors mounted on different vehicle components to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor alignment is checked by observing an object over extended duration and/or multiple objects, then measurement precision is improved, but identification time increases
Solution Approach 1:
The patent applies preliminary action by using prediction algorithms to determine where an object will be at a future time point based on its current motion trajectory. This allows the system to proactively check sensor alignment at the predicted position rather than waiting to detect the object there, significantly reducing the time required for misalignment identification while maintaining detection accuracy.
2Reliability
If multiple sensors are used to detect the same object for alignment verification, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by designing the sensor system such that each sensor can serve multiple functions: primary object detection, alignment verification through overlap zone comparison, and predictive position checking. This multi-functionality allows reliable misalignment detection using existing sensors without adding dedicated alignment verification hardware, thus improving reliability while avoiding increased device complexity.
3Measurement precision
If detection zones of sensors are positioned to maximize overlap for alignment checking, then measurement precision is improved, but adaptability decreases
Solution Approach 1:
The patent applies dynamics by implementing a dynamic misalignment detection approach that adapts to different sensor configurations. The system determines overlap zones and prediction time points based on the specific geometric relationships between sensors and object motion characteristics. This dynamic adaptation allows the system to maintain high measurement precision across various sensor placements and object types without requiring fixed, rigid configurations.
Data Source
AI summary
A method for identifying misalignments of a sensor of a sensor system of a motor vehicle, having at least one further sensor. The method includes ascertaining an associated position of an object in an overlap zone of at least two detection zones by way of the respective sensor which forms the overlap zone, comparing the ascertained positions with one another and, in the event of a deviation of the positions, identifying a misalignment. Alternatively or additionally, the movement of an object in a detection zone of a sensor can be tracked and used for identifying a misalignment.