Lidar Device Dynamic Emission Density Control
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Solution Overview
Problem
Existing LIDAR devices face challenges in achieving high resolution in specific regions without increasing the number of laser light emissions, leading to inefficient use of resources and varying emission density with vehicle speed and distance.
Innovation Solution
A LIDAR device that adjusts the angle difference between emission directions based on vehicle state variables, such as speed and distance, to increase emission density in required regions, using phased-array sensors for directional control and FMCW range point data generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of laser light emissions is increased to achieve high resolution in specific regions, then measurement precision is improved, but use of energy and resource efficiency deteriorate
Solution Approach 1:
The patent applies local quality by making the emission density non-uniform across different spatial regions. Specifically, the emission density is increased in specific regions of interest (such as areas with detected objects or predefined search regions) while maintaining lower emission density in other regions. This allows high-resolution detection to be achieved locally without increasing the total number of laser emissions system-wide, thereby resolving the contradiction between measurement precision and energy consumption.
Solution Approach 2:
The patent implements dynamics by making the emission density variable and adjustable based on detected objects and vehicle state. The system dynamically modifies emission patterns in real-time, concentrating laser emissions in regions where objects are detected or where high-resolution detection is required, rather than using a fixed uniform emission pattern. This dynamic adaptation enables high-resolution detection when needed while conserving energy during normal operation.
2Ease of operation
If uniform emission density is maintained across all directions, then ease of operation is improved, but measurement precision deteriorates in specific regions
Solution Approach 1:
The patent resolves this contradiction by making the emission pattern dynamic rather than static. The system starts with a base emission pattern and then dynamically adjusts emission density in specific directions based on detected objects and vehicle state variables. This allows the system to maintain operational simplicity through automated control while achieving high measurement precision in regions of interest through localized emission density increases.
Solution Approach 2:
The patent applies feedback by using detection results and vehicle state information to continuously adjust emission patterns. The system detects objects, determines regions of interest, and then modifies emission density in those regions accordingly. This feedback loop enables the system to automatically optimize measurement precision in specific regions without requiring manual intervention, thus maintaining ease of operation while improving detection resolution where needed.
3Measurement precision
If emission density is increased in specific regions to improve detection resolution, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the detection space into different regions with different emission density requirements. Instead of uniformly increasing emission density everywhere, the system segments the field of view and applies high emission density only to specific segments (regions of interest) while maintaining lower emission density in other segments. This segmented approach achieves high measurement precision in critical areas without proportionally increasing overall device complexity.
Solution Approach 2:
The patent implements parameter changes by modifying emission density parameters dynamically based on detected objects and vehicle state. Rather than requiring complex hardware modifications, the system achieves variable emission density by changing operational parameters (emission angle, emission frequency, beam intensity) through software control. This parameter-based approach allows flexible region-specific emission control without significantly increasing device complexity.
Data Source
AI summary
A LIDAR device performs an emission process of emitting the laser light to surroundings of a vehicle. The emission process includes a scanning process and a resolution adjustment process. The scanning process includes a process of scanning with the laser light a predefined direction that is one of vertical and horizontal directions. A plurality of emission directions include, as four directions, a first direction and a second direction adjacent to each other in the predefined direction, and a third direction and a fourth direction adjacent to each other in the predefined direction. The resolution adjustment process includes a process of making an angle difference between the third and fourth directions less than an angle difference between the first and second directions, and a variably setting process of variably setting the angle difference between the third and fourth directions according to a state variable of the vehicle, as an input.