LiDAR Sensor Crosstalk Mitigation via Time-Frequency Coordination
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Solution Overview
Problem
Crosstalk interference between proximally positioned Light Detection and Ranging (LiDAR) sensors in autonomous vehicles, which can lead to inaccurate data capture and reduced sensor performance due to overlapping light transmission from multiple sensors.
Innovation Solution
Implementing a control system that coordinates sensor operations through time-division multiplexing and frequency modulation, ensuring that capture sequences do not overlap in time and assigning unique modulation frequencies to each sensor based on their integration times, thereby reducing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple LiDAR sensors operate simultaneously in close proximity, then data collection coverage is improved, but crosstalk interference increases leading to inaccurate measurements
Solution Approach 1:
The patent implements time-division multiplexing where multiple LiDAR sensors operate in periodic time slots rather than simultaneously. Each sensor is activated for a specific duration followed by a pause, creating a periodic operation pattern. This temporal separation ensures that when one sensor transmits light pulses, other sensors are in their integration period receiving signals, thereby eliminating crosstalk interference while maintaining multiple active sensors for comprehensive data collection coverage.
Solution Approach 2:
The patent transitions from spatial simultaneity to temporal sequence by adding a time dimension to sensor operation. Instead of having sensors operate concurrently in space, the system orchestrates them to operate sequentially in time, with each sensor assigned specific time windows for transmission and integration. This dimensional shift from spatial to temporal organization resolves the interference problem while preserving the benefits of multiple sensors.
2Productivity
If capture sequences of multiple sensors overlap in time, then data collection efficiency is improved, but crosstalk interference occurs between sensors
Solution Approach 1:
The system employs periodic action by structuring sensor operation into repeating cycles of transmission and integration phases. Each sensor follows a periodic pattern where it transmits light pulses during its allocated time slot, then switches to receiving mode during its integration period. This periodic temporal structure prevents overlap between transmission and reception phases of different sensors, eliminating crosstalk while maintaining continuous operational productivity across the sensor array.
Solution Approach 2:
The patent segments the operational timeline into distinct time slots assigned to different sensors. Each sensor receives a specific segment of the time domain for transmission and another segment for integration. This temporal segmentation separates the capture sequences of multiple sensors, preventing their overlap and the resulting crosstalk interference, while ensuring that all sensors remain productive through coordinated scheduling.
3Device complexity
If sensors operate at the same frequency, then system simplicity is maintained, but interference patterns create false perceptions
Solution Approach 1:
The patent applies local quality by assigning unique modulation frequencies to individual sensors or sensor groups rather than using a uniform frequency for all. Each sensor operates at its locally optimized frequency within its time slot, creating distinct spectral signatures that prevent interference patterns. This localized frequency assignment ensures that even if temporal scheduling has minor variations, sensors can be distinguished and their measurements remain reliable without creating false perceptions.
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
Effectively minimizes crosstalk interference between LiDAR sensors, enhancing data accuracy and sensor performance by ensuring that each sensor operates at optimal times and frequencies, reducing the likelihood of false perceptions and sensor malfunctions.
Implementation Method 1
Light Detection and Ranging (LiDAR) sensors
Data Source
AI summary
Aspects of disclosed technology provide solutions for reducing interference between optical sensors and in particular, for eliminating crosstalk interference between proximally positioned Light Detection and Ranging (LiDAR) sensors (e.g., flash LiDAR sensors or full-field LiDAR sensors). A process of the disclosed technology can include steps for determining a center modulation frequency for a first Light Detection and Ranging (LiDAR) sensor, scheduling a first capture sequence for the first LiDAR sensor to occur at a first time, determining a center modulation frequency for a second LiDAR sensor, and scheduling a second capture sequence for the second LiDAR sensor to occur at a second time. Systems and machine-readable media are also provided.