Vehicle LiDAR Shot Weighting for Moving Object Accuracy
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Solution Overview
Problem
Conventional LiDAR technologies experience distortion when detecting moving objects due to uncompensated time differences between shots, leading to inaccurate measurements across multiple angles of view.
Innovation Solution
The LiDAR system compensates for time differences by weighting newer shots with higher importance during shot accumulation, either by varying the power of transmitted light or applying different weight values to processed light signals, ensuring that newer shots have a greater impact on the generated frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If shot accumulation is performed to measure long-distance data, then measurement precision is improved, but distortion occurs in moving object detection due to time difference between shots
Solution Approach 1:
The patent changes the weighting parameter of shots in the accumulation process. By assigning different weights to shots based on their temporal characteristics and motion compensation status, the system optimizes the balance between measurement precision and reliability for moving objects
Solution Approach 2:
The patent performs motion compensation before the shot accumulation process. By pre-calculating and correcting for object motion based on detected motion vectors, the system eliminates the source of distortion before accumulation occurs, ensuring both precision and reliability
2Device complexity
If conventional shot accumulation is used without time compensation, then device complexity is kept low, but distortion occurs where the same portion of moving object is measured across several angles of view
Solution Approach 1:
The patent introduces motion compensation as an intermediary process between shot acquisition and accumulation. This intermediary step corrects spatial distortions caused by object motion, improving measurement precision without significantly increasing overall system complexity
Solution Approach 2:
The patent modifies the accumulation parameter by applying motion-based weighting factors. This parameter change allows the system to account for object motion through software processing rather than hardware complexity, maintaining simplicity while improving accuracy
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 reduces distortion in moving object detection by prioritizing more recent data, resulting in more accurate and precise measurements, even when shots are taken over a short time frame.
Implementation Method 1
a transmitter configured to generate light and transmit the light to an object
Implementation Method 2
a receiver configured to receive light reflected from an object
Data Source
AI summary
A LiDAR and a control method thereof, and a vehicle having the same are provided. A LiDAR for a vehicle comprises a transmitter configured to generate light and transmit the light to an object; a receiver configured to receive light reflected from the object; and a signal processor configured to detect the object by processing the light received by the receiver, and perform shot accumulation to generate one frame by accumulating a plurality of shots, wherein an additional processing is performed so that a newest shot among the plurality of shots for generating one frame is reflected with the highest importance in one frame generated by accumulating the plurality of shots.