LIDAR–TOF Sensor Synchronization for Dynamic FOV Alignment
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Solution Overview
Problem
The synchronization of data capture operations between time-of-flight (TOF) sensors and spinning Light Detection and Ranging (LIDAR) sensors is challenging due to their dynamic field-of-view (FOV) and pointing direction changes, leading to misalignment and difficulties in data fusion, which results in inaccuracies and motion artifacts.
Innovation Solution
The systems and techniques described synchronize TOF sensor operations with LIDAR sensor operations by aligning their FOVs and pointing directions using factors such as FOV, rotation frequency, and delays to ensure data capture coincidence in space and time, thereby reducing misalignments and errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If LIDAR sensor rotates to achieve larger field-of-view coverage, then the area of coverage is improved, but the synchronization with TOF sensor becomes more difficult
Solution Approach 1:
The system performs preliminary alignment by calculating and applying a time offset between LIDAR and TOF sensor operations. This time offset is computed based on the rotational position and speed of the LIDAR sensor, allowing the TOF sensor to trigger at the optimal moment relative to the LIDAR's field-of-view position, ensuring synchronized data capture before the LIDAR rotates to a different angle.
Solution Approach 2:
The system uses feedback from the LIDAR's rotational status (position and speed) to dynamically adjust the TOF sensor triggering timing. The time offset is continuously updated based on the LIDAR's rotational feedback, creating a closed-loop synchronization mechanism that maintains alignment despite the LIDAR's dynamic movement.
2Adaptability or versatility
If dynamic field-of-view changes are implemented in LIDAR, then the adaptability is improved, but the data alignment with TOF sensor deteriorates
Solution Approach 1:
The synchronization system is designed to be dynamic rather than static. The time offset between LIDAR and TOF sensor operations is continuously adjusted based on the LIDAR's real-time rotational position and speed. This dynamic adjustment allows the system to maintain data alignment precision even as the LIDAR's field-of-view changes adaptively during operation.
3Ease of operation
If sensor data capture is triggered without synchronization, then the ease of operation is improved, but the measurement precision deteriorates
Solution Approach 1:
The system implements self-service synchronization by automatically calculating and applying the appropriate time offset based on the LIDAR's rotational parameters. This eliminates the need for manual synchronization configuration or complex external control mechanisms, maintaining ease of operation while achieving precise spatial alignment through automated timing adjustment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This synchronization enables accurate data fusion with reduced errors and motion artifacts, enhancing the quality of combined sensor data for applications like autonomous vehicle navigation.
Implementation Method 1
a time-of-flight (TOF) sensor can be used to measure distance to one or more objects in an environment
Implementation Method 2
a light ranging and detection (LIDAR) sensor can be used to determine ranges (variable distance) of one or more targets by directing a laser to a surface of an entity and measuring the time for light reflected from the surface to return to the LIDAR
Data Source
AI summary
Systems and techniques are provided for synchronizing sensor operations. An example method includes determining a scanning frequency of a light detection and ranging (LIDAR) sensor configured to collect data for regions of space during each scan cycle; selecting an exposure from an exposure sequence generated based on data captured by a time-of-flight (TOF) sensor to align with data from a scan from the LIDAR sensor during a scan cycle; based on the scanning frequency, a field-of-view (FOV) of the LIDAR sensor, a FOV of the TOF sensor, a location of the exposure within the exposure sequence, and/or sensor internal delays, determining a timeframe between a reference time and an alignment time during the scan cycle when the FOVs of the LIDAR sensor and the TOF sensor are aligned; and based on the timeframe, determining a time offset for triggering the TOF sensor to capture data associated with the exposure sequence.