Moving Object Sensor Alignment Calibration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Calibrating object sensors in vehicles is complex, time-consuming, and requires frequent recalibration due to mechanical and thermal changes, with orientation errors significantly impacting positioning accuracy, especially at long distances, and existing methods are cumbersome and require specialized tools.
Innovation Solution
A method for calibrating moving object sensors by detecting static objects at different positions, calculating relative positions, assuming alignment errors, and minimizing error parameters to adapt the sensor alignment, reducing data processing requirements and increasing robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional calibration methods are used to determine sensor alignment, then measurement precision is improved, but calibration time and device complexity increase significantly
Solution Approach 1:
The system uses the vehicle's own movement and naturally visible static objects (buildings, trees, signs) for calibration, eliminating the need for external calibration equipment. The sensor calibrates itself by processing ordinary operational data rather than requiring dedicated calibration procedures
Solution Approach 2:
The method creates a virtual calibration model by comparing detected object positions with their expected positions based on map data and vehicle movement, allowing calibration without physical calibration targets or specialized measurement tools
2Measurement precision
If traditional calibration methods are used to determine sensor alignment, then measurement precision is improved, but device complexity and skill requirements increase
Solution Approach 1:
The system performs calibration using only the sensor itself and readily available environmental features, eliminating the need for external calibration equipment, fixtures, or specialized tools that would increase device complexity
Solution Approach 2:
The calibration method works with any standard object sensor (camera, radar, lidar) using common static objects in the environment, making the solution universally applicable without requiring specialized calibration equipment for different sensor types
3Duration of action of moving object
If sensor alignment is not regularly calibrated, then operational time is increased, but positioning accuracy deteriorates due to mechanical and thermal changes
Solution Approach 1:
The calibration process can be performed continuously or frequently during normal vehicle operation without interrupting service, allowing the sensor to maintain accurate alignment throughout its operational life despite mechanical and thermal changes
Solution Approach 2:
The calibration parameters are treated as dynamic values that can be updated over time based on current conditions, allowing the system to adapt to changing mechanical and thermal states rather than relying on static initial calibration
Data Source
AI summary
This disclosure relates, e.g., to a method for calibrating the alignment of a moving object sensor that comprises the steps: Detection of the movement of the object sensor, multiple detection of at least one static object by the moving object sensor at different positions of the object sensor, calculation of the relative positions of the static object with respect to the corresponding positions of the object sensor, calculation of anticipated positions of the static object from the relative positions while assuming an alignment error of the object sensor, calculation of an error parameter from the anticipated positions, and minimization of the error parameter by adapting the alignment error of the object sensor.