Autonomous Vehicle Sensor Timing Synchronization for Accurate Data Correlation
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Solution Overview
Problem
Autonomous driving vehicles face challenges in synchronizing sensors, which hinders the simultaneous capture and correlation of sensor data, making it difficult to accurately detect and track objects in the environment.
Innovation Solution
A method and system for synchronizing sensors in autonomous driving vehicles, utilizing a high precision time generation unit and synchronization module to ensure that sensors capture data simultaneously, allowing for accurate correlation and improved object detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are synchronized using conventional timing methods, then the system structure remains simple, but the data acquisition time alignment is insufficient leading to inaccurate object detection
Solution Approach 1:
The patent divides the synchronization system into distinct functional modules: a high-precision time generation unit that produces reference timing signals, a distribution unit that propagates these signals to multiple sensors, and individual sensor units that capture data based on received timing cues. This segmentation allows each module to be optimized independently while achieving overall system synchronization with microsecond or nanosecond precision.
Solution Approach 2:
The patent introduces a central time generation unit as an intermediary that mediates between the clock source and multiple sensors. This intermediary distributes synchronized timing signals to all sensors, ensuring they acquire data at precisely aligned time points without requiring complex peer-to-peer synchronization protocols between sensors themselves.
2Reliability
If sensors capture data at different times, then the system operation is simpler, but the correlation of sensor data becomes difficult reducing detection accuracy
Solution Approach 1:
The patent implements preliminary action by having the time generation unit prepare and distribute reference timing signals to all sensors before the actual data acquisition cycle begins. Each sensor receives and acknowledges the timing signal in advance, ensuring they are all ready to capture data simultaneously at the predetermined time point, which greatly enhances detection reliability.
Solution Approach 2:
The patent incorporates feedback mechanisms where sensors acknowledge receipt of timing signals and report their status back to the central control unit. This feedback loop allows the system to verify that all sensors are properly synchronized and functioning, enabling real-time adjustment if any sensor falls out of sync, thus maintaining high detection accuracy.
3Loss of information
If a high precision time generation unit is implemented, then sensor data correlation improves, but the system cost and complexity increase
Solution Approach 1:
The patent designs the high-precision time generation unit to serve multiple functions: it generates reference timing signals, distributes them to all sensors, monitors sensor status, and provides timing information for data correlation. This multi-functionality reduces the need for separate dedicated components for each function, thereby limiting the increase in overall system complexity while maintaining excellent data correlation quality.
Data Source
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AI summary
A method is provided. The method includes determining a first set of data acquisition characteristics of a first sensor of an autonomous driving vehicle. The method also includes determining a second set of data acquisition characteristics of a second sensor of the autonomous driving vehicle. The method further includes synchronizing a first data acquisition time of the first sensor and a second data acquisition time of the second sensor, based on the first set of data acquisition characteristics and the second set of data acquisition characteristics. The first sensor obtains first sensor data at the first data acquisition time. The second sensor obtains second sensor data at the second data acquisition time.