Leaning-Vehicle Sensor Alignment for Accurate Traveling Data
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Solution Overview
Problem
Existing technologies face challenges in accurately detecting the behavior of leaning vehicles due to the reliance on the installer's skill to match the sensor's mounting posture, leading to inconsistent detection accuracy.
Innovation Solution
A device that processes traveling data by aligning sensor coordinate systems with the mobile object's coordinate system based on time-series data during a speed change cycle, independent of the installer's mounting posture, using acceleration and angular velocity sensors to convert data accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sensor is mounted in a predetermined posture instructed in advance, then the detection accuracy of physical quantity related to vehicle behavior is improved, but the ease of installation deteriorates because it requires precise mounting by the installer
Solution Approach 1:
The system performs preliminary actions by acquiring measurement data during a speed change cycle before final coordinate system conversion. The processor collects acceleration and angular velocity data during the speed change cycle, then uses this data to determine the relationship between sensor coordinate system and vehicle coordinate system, enabling accurate detection without requiring precise preliminary mounting by the installer
Solution Approach 2:
The system enables self-service by allowing the sensor to automatically calibrate itself through the speed change cycle. The processor uses measurement data acquired during the speed change cycle to autonomously determine coordinate system relationships and convert data accordingly, eliminating the need for the installer to perform precise manual mounting or calibration
2Ease of operation
If the sensor mounting posture is left to the installer's discretion, then the ease of installation is improved, but the detection accuracy deteriorates due to inconsistent mounting postures
Solution Approach 1:
The system applies parameter changes by dynamically determining the coordinate system relationship based on measurement data acquired during the speed change cycle. The processor calculates rotation angles and transformation parameters from the acquired acceleration and angular velocity data, then uses these parameters to convert sensor data into accurate vehicle behavior data regardless of the initial mounting posture
Solution Approach 2:
The system replaces the mechanical mounting precision requirement with a computational solution. Instead of relying on precise physical alignment during installation, the processor uses mathematical coordinate system conversion based on measurement data to achieve accurate detection, substituting mechanical precision with computational correction
3Measurement precision
If calibration and precise mounting are required, then the detection accuracy is improved, but the device complexity and calibration time increase
Solution Approach 1:
The system performs self-calibration by automatically determining the coordinate system relationship using measurement data acquired during the speed change cycle. The processor autonomously calculates transformation parameters and performs coordinate system conversion without requiring external calibration equipment or complex calibration procedures, reducing both device complexity and calibration time
Data Source
AI summary
A traveling-data-output device, including a traveling-data-output processor configured to: acquire time-series-traveling data output in a time-series manner from a detection device freely mounted to a mobile object of a first coordinate system for a speed change cycle, the time-series-traveling data including speed data of the mobile object, acceleration data in three directions in a second coordinate system, and angular velocity data about three coordinate axes in a third coordinate system, and perform coordinate system conversion on the acquired time-series-traveling data for at least the speed change cycle to convert the second and third coordinate systems to the first coordinate system and output the resulting time-series-traveling data. The three coordinate axes in the first to third coordinate systems are parallel to or coincident with one another, and a front-rear direction, a top-bottom direction, and a left-right direction of the acceleration sensor, the angular velocity sensor and the mobile object are aligned.