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 by encoding light pulses with distinct temporal profiles.
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 implements dynamic adaptation of coding schemes based on real-time environmental conditions. The system monitors signal quality, noise levels, and interference patterns, then selectively switches between different coding schemes (e.g., pseudo-random codes, chirp modulation, frequency hopping) to optimize measurement precision under varying conditions. This dynamic approach resolves the contradiction by making complexity adaptive rather than static.
Solution Approach 2:
The patent changes temporal parameters of light pulse sequences through coding schemes. By modulating pulse duration, inter-pulse intervals, and temporal patterns according to specific codes, the system enables precise identification of return pulses even in noisy environments. This parameter transformation allows accurate distance measurement without requiring overly complex hardware structures.
2Measurement precision
If Lidar systems increase pulse emission power to improve signal detection, then measurement precision improves, but energy consumption increases
Solution Approach 1:
The patent employs periodic pulse sequences with coded temporal patterns instead of continuous high-power emission. By using structured pulse trains with specific repetition intervals and duty cycles, the system achieves sufficient signal-to-noise ratio through integration over multiple pulses while maintaining lower instantaneous power levels, thus reducing overall energy consumption while preserving detection accuracy.
Solution Approach 2:
The system implements feedback mechanisms that monitor signal quality and environmental conditions in real-time. Based on this feedback, the control unit dynamically adjusts pulse emission parameters including power levels, pulse repetition frequency, and coding scheme selection. This feedback-driven adaptation ensures minimum necessary energy consumption while maintaining required measurement precision.
3Productivity
If multiple Lidar systems operate simultaneously in the same environment, then productivity and coverage area increase, but cross-talk between systems causes measurement precision to deteriorate
Solution Approach 1:
The patent introduces temporal and spectral dimensions to differentiate between multiple Lidar systems. By assigning unique temporal codes and frequency patterns to each system, measurements from different systems can be distinguished and processed independently. This dimensional separation allows multiple systems to operate simultaneously without cross-talk interference, maintaining both productivity and measurement precision.
Solution Approach 2:
The patent segments the overall measurement process into distinct coded channels, each with its own temporal profile and frequency characteristics. This segmentation allows the system to isolate and process returns from different Lidar systems independently, preventing cross-contamination of measurements and maintaining accuracy even when multiple systems operate in the same environment.
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 reducing cross-talk and environmental noise, enabling precise distance measurements and improved energy efficiency.
Implementation Method 1
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 2
at least one photosensitive detector configured to detect light pulses from the three-dimensional environment
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.