Adaptive Lidar Coding for Cross-Talk Reduction
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Solution Overview
Problem
Lidar systems face challenges in accurately measuring distances due to confusion between return pulses, environmental noise, and cross-talk between different Lidar systems, leading to incorrect measurements and reduced accuracy.
Innovation Solution
The implementation of an adaptive coding scheme in Lidar systems that dynamically changes based on real-time conditions, such as environment and signal conditions, to minimize interference and improve energy efficiency, allowing for accurate three-dimensional imaging with encoded light pulses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional Lidar systems use simple pulse emission without coding, then the system structure is simple and energy consumption is low, but measurement precision deteriorates due to confusion between return pulses and environmental noise
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting coding parameters (temporal profiles, pulse sequences) based on real-time environmental conditions and signal quality. The system monitors noise levels, cross-talk conditions, and signal strength, then adapts the coding scheme parameters to optimize measurement precision while managing complexity.
Solution Approach 2:
The system implements dynamics through adaptive coding schemes that change in real-time based on environmental conditions. Rather than using a fixed coding structure, the system dynamically selects and adjusts coding parameters (pulse timing, sequence patterns, temporal profiles) to match current operational conditions, thereby maintaining high measurement precision without unnecessary complexity.
2Measurement precision
If Lidar systems increase transmission power to improve signal detection, then measurement precision improves, but energy consumption increases
Solution Approach 1:
The system uses parameter changes to dynamically adjust transmission power based on detected signal conditions. When environmental noise is low or target reflectivity is high, the system reduces transmission power while maintaining detection accuracy. When noise levels increase or targets are difficult to detect, the system increases power only as needed, optimizing the balance between measurement precision and energy consumption.
Solution Approach 2:
The patent applies partial action by using variable power transmission rather than consistently high power. The system transmits at elevated power levels only when and where needed to achieve sufficient signal-to-noise ratio, while using lower power in favorable conditions, thereby reducing overall energy consumption while maintaining measurement precision.
3Productivity
If multiple Lidar systems operate simultaneously in the same environment, then productivity increases, but measurement precision deteriorates due to cross-talk between systems
Solution Approach 1:
The system applies segmentation by dividing the operational time space into distinct coded segments for different Lidar systems. Each system uses a unique temporal coding pattern (pulse sequence, timing profile) that acts as an identifier, allowing the receiver to segment and separate return signals from different transmitters even when they operate simultaneously, thereby maintaining measurement precision while enabling multi-system productivity.
Solution Approach 2:
The patent uses coding schemes as an intermediary mechanism to manage interactions between multiple Lidar systems. The temporal codes and pulse patterns serve as mediators that allow receivers to distinguish between signals from different systems, enabling concurrent operation without cross-talk interference and maintaining both productivity and measurement precision.
4Adaptability or versatility
If Lidar systems use fixed coding schemes, then device complexity is low and operation is simple, but adaptability to different environmental conditions deteriorates
Solution Approach 1:
The system implements dynamics through adaptive coding schemes that automatically adjust to environmental conditions. The system monitors parameters such as ambient light levels, noise characteristics, and signal strength, then dynamically modifies coding parameters (pulse timing, sequence patterns, temporal profiles) to optimize performance for the current environment, achieving high adaptability while managing complexity through automated adjustment.
Solution Approach 2:
The patent applies feedback by continuously monitoring environmental conditions and signal quality, then using this information to adjust coding parameters in real-time. The system measures actual performance metrics (signal-to-noise ratio, detection accuracy) and feeds this information back to the coding scheme selector, which adjusts parameters to maintain optimal adaptability across varying environmental conditions.
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 approach enhances the accuracy and performance of Lidar systems by distinguishing intended signals from unintended ones, reducing noise interference and enabling concurrent measurements across multiple channels.
Implementation Method 1
A Lidar system may include at least a light source configured to emit a pulse of light
Implementation Method 2
Based on the lapse time between the emission of the pulse of light and detection of returned pulse of light (i.e., time of flight), a distance can be obtained
Implementation Method 3
a detector configured to receive returned pulse of light
Implementation Method 4
The pulse of light can be generated by a laser emitter then focused through a lens or lens assembly
Data Source
AI summary
A Lidar system is provided. The Lidar system comprise: a light source configured to emit a multi-pulse sequence to measure a distance between the Lidar system and a location in a three-dimensional environment, and the multi-pulse sequence comprises multiple pulses having a temporal profile; a photosensitive detector configured to detect light pulses from the three-dimensional environment; and one or more processors configured to: determine a coding scheme comprising the temporal profile, wherein the coding scheme is determined dynamically based on one or more real-time conditions including an environment condition, a condition of the Lidar system or a signal environment condition; and calculate the distance based on a time of flight of a sequence of detected light pulses, wherein the time of flight is determined by determining a match between the sequence of detected light pulses and the temporal profile.