Vehicle Sensor Alignment Using Spatial Templates After Replacement
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Solution Overview
Problem
Computer vision systems on vehicles require precise sensor alignment to maintain data accuracy, which is challenging due to sensor removal or replacement, and inconsistencies across similar vehicles.
Innovation Solution
A method using processors to collect and generate representations of sensor output, adjusting sensor positions based on spatial templates with reference indicators to align removable sensors accurately, ensuring external features align with template markers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of repair
If sensors are removed or replaced during vehicle operation, then sensor maintenance and replacement can be performed, but sensor alignment accuracy deteriorates
Solution Approach 1:
The system performs preliminary alignment by capturing images during the sensor replacement process and automatically calculating adjustment parameters before the sensor is fully installed. This preliminary action ensures that when the sensor is replaced, the alignment is already optimized, maintaining measurement precision while enabling easy replacement.
Solution Approach 2:
The patent replaces manual mechanical alignment procedures with an automated computer vision system. Instead of physically adjusting sensor positions through trial and error, the system uses image processing and automated calculations to determine precise alignment parameters, substituting mechanical adjustment with computational methods.
2Ease of manufacture
If sensors are placed in approximate areas on vehicles, then initial installation is simplified, but computer vision system performance deteriorates
Solution Approach 1:
The system performs preliminary alignment by capturing images during the sensor replacement process and automatically calculating adjustment parameters before the sensor is fully installed. This preliminary action ensures that when the sensor is replaced, the alignment is already optimized, maintaining measurement precision while enabling easy replacement.
Solution Approach 2:
The system uses image capture and processing to provide feedback on sensor alignment status. By comparing captured images against expected geometric relationships, the system generates feedback signals that guide automatic adjustment mechanisms, enabling real-time correction of alignment deviations and ensuring consistent computer vision system performance.
3Ease of operation
If manual sensor alignment procedures are used, then alignment adjustment can be performed, but alignment time and labor requirements increase
Solution Approach 1:
The system performs self-alignment by automatically capturing images, processing them through computer vision algorithms, and adjusting sensor positions without requiring manual intervention. The sensor alignment system serves itself by using its own imaging capabilities to detect misalignment and automatically correct it, eliminating the need for external alignment tools and reducing both time and labor requirements.
Solution Approach 2:
The patent replaces manual mechanical alignment procedures with an automated computer vision system. Instead of physically adjusting sensor positions through trial and error, the system uses image processing and automated calculations to determine precise alignment parameters, substituting mechanical adjustment with computational methods.
Data Source
AI summary
Systems and methods of aligning removable sensors mounted on a vehicle based upon sensor output of such sensors are described. Sensor output is collected from a removable sensor (e.g., a digital camera), and a representation of such sensor output is generated (e.g., a digital image). The representation of the sensor output is compared against a spatial template (e.g., a digital mask overlaid on the representation) to determine whether external references in the representation align with corresponding reference indicators in the spatial template. When alignment is required, the removable sensor is aligned by one or both of the following until the external references in a representation of sensor data at an updated current location align with the corresponding reference indicators in the spatial template: (i) adjusting the position of the removable sensor on the vehicle or (ii) adjusting the representation of the sensor output to simulate such repositioning.


