Dynamic ROI LiDAR Scanning for Interference-Resistant Ranging
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Solution Overview
Problem
Lidar systems face interference from neighboring systems, leading to inaccurate target distance determinations due to misinterpreted round trip travel times of light pulses.
Innovation Solution
Implementing random or pseudo-random variations in scanning parameters and time delays to introduce a unique signature for each lidar system, allowing differentiation between own and neighboring system pulses, and adjusting regions of interest dynamically based on detected objects and vehicle motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If lidar systems operate in the presence of multiple neighboring lidar systems, then the field of view coverage is improved, but interference from other systems leads to inaccurate target distance determinations
Solution Approach 1:
The patent applies parameter changes by randomly or pseudo-randomly varying the time delay between emitting light pulses and scanning the light beam over different segments. This temporal parameter variation creates unique signatures for each lidar system, allowing receivers to distinguish between pulses from different systems and eliminate interference, thereby maintaining measurement precision while operating in dense lidar environments
Solution Approach 2:
The patent employs periodic action through structured scanning patterns where the light beam is scanned over multiple segments in a defined sequence. By combining this periodic scanning with random time delays, the system creates recognizable pulse patterns that help receivers identify and process only relevant pulses from their own system, filtering out interference from neighboring systems
2Measurement precision
If the laser is discretely scanned over a series of segments to provide an image, then the angular resolution can be improved, but the complexity of distinguishing own pulses from neighboring pulses increases
Solution Approach 1:
The patent reduces pulse identification complexity by introducing random or pseudo-random time delays between pulse emissions and scanning operations. This parameter change creates unique temporal signatures for each lidar system, enabling simple temporal correlation at the receiver side to distinguish own pulses from neighboring pulses without requiring complex spatial or spectral filtering
Solution Approach 2:
The patent uses the random time delay as an intermediary mechanism that bridges the transmitter and receiver. By embedding this temporal marker in the pulse transmission process, the system enables the receiver to verify pulse origin through simple time correlation, acting as a mediator that simplifies the identification process while maintaining high angular resolution through discrete segment scanning
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
Reduces interference and enhances accuracy in target distance determination by verifying the origin of received pulses and optimizing scanning resolution based on dynamic conditions.
Implementation Method 1
The time difference between the emitted light pulse and the received light pulse can be used to determine a target distance within the field of view, such as according to the expression d=ct/2 where d can represent a distance from the lidar system to a target 130, t can represent a round trip travel time, and c can represent a speed of light
Implementation Method 2
Certain lidar systems include a laser that can be discretely scanned over a series of segments in a field of view and a detector that can detect a reflected portion of the discretely scanned laser
Data Source
AI summary
A system and method for providing a dynamic region of interest in a lidar system can include scanning a light beam over a field of view to capture a first lidar image, identifying a first object within the captured first lidar image, selecting a first region of interest within the field of view that contains at least a portion of the identified first object, and capturing a second lidar image, where capturing the second lidar image includes scanning the light beam over the first region of interest at a first spatial sampling resolution, and scanning the light beam over the field of view outside of the first region of interest at a second spatial sampling resolution, wherein the second sampling resolution is different the first spatial sampling resolution.