Vehicle Sensor Synchronization Using Image and IMU Shift Timing
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Solution Overview
Problem
Existing synchronization devices struggle to accurately synchronize detection data from multiple sensors in a vehicle due to difficulties in identifying the detection timing of image sensors, leading to inaccurate synchronization.
Innovation Solution
A synchronization device that calculates shift time based on detection data from an image sensor and another sensor, such as an IMU, to synchronize detection data accurately by adjusting the time of the IMU data to match the detection timing of the image sensor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If time data of each sensor are corrected based on time information received from a NTP server, then the synchronization can be performed using standard time protocols, but it is difficult to identify the detection timing of the image sensor and achieve accurate synchronization
Solution Approach 1:
The patent introduces an intermediary approach by using detection data from sensors (particularly image sensors and IMUs) as a mediator to establish synchronization. Instead of directly relying on NTP time information, the system uses the correlation between detection data and time information to identify detection timing and calculate shift time, thereby achieving accurate synchronization while maintaining adaptability to standard protocols.
Solution Approach 2:
The patent replaces the traditional time-based synchronization mechanism (NTP protocol) with a data-based synchronization mechanism. By substituting the mechanical/time-based system with a system that uses detection data correlation and shift time calculation, the patent achieves higher precision while maintaining the ability to use standard protocols when needed.
2Ease of operation
If detection data from multiple sensors are synchronized using NTP time information, then the system can operate with standard time protocols, but the synchronization accuracy deteriorates due to inability to identify image sensor detection timing
Solution Approach 1:
The patent introduces dynamic adjustment by calculating shift time based on the correlation between detection data and time information. Instead of using a static time synchronization approach, the system dynamically determines the detection timing of image sensors by analyzing the relationship between detection data and NTP time information, thereby improving reliability while maintaining ease of operation with standard protocols.
Solution Approach 2:
The patent implements a feedback mechanism by using detection data to verify and adjust synchronization accuracy. The system continuously monitors the correlation between detection data and time information, calculates shift time based on this correlation, and uses this feedback to refine synchronization, thereby improving reliability while maintaining compatibility with standard protocols.
3Measurement precision
If shift time is calculated to match first time-series data with second time-series data, then synchronization accuracy is improved, but the system complexity increases due to additional calculation requirements
Solution Approach 1:
The patent applies partial action by focusing the shift time calculation on specific sensors (particularly image sensors and IMUs) and specific detection data (angular velocity data). Instead of calculating shift time for all sensors and all data types, the system selectively applies the calculation to the most critical sensor combinations, thereby achieving high synchronization precision while limiting the increase in system complexity to only where necessary.
Data Source
AI summary
A synchronization device is for a vehicle equipped with a plurality of sensors including an image sensor. The synchronization device acquires, as data related to a motion state of the vehicle, first time-series data based on detection data detected by the image sensor and second time-series data based on detection data detected by a sensor other than the image sensor. The synchronization device calculates shift time required for matching the first time-series data with the second time-series data.


