LiDAR Object Detection Device Dynamic Scanning Control
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Solution Overview
Problem
The existing object detection device inefficiencies include continuous scanning in high irradiation density mode even after the target object is no longer detected, leading to unnecessary resource usage and potential failure in detecting new unknown objects.
Innovation Solution
An object detection device with a point cloud acquisition unit, object detection unit, and reliability determination unit that dynamically controls scanning range and irradiation density based on detection reliability, switching between normal and narrowing modes to optimize resource usage and detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the irradiation density is increased for all objects, then the detection accuracy for distant or small objects is improved, but the scanning efficiency deteriorates due to unnecessary scanning of already clearly detected objects
Solution Approach 1:
The patent applies local quality by differentiating the irradiation density based on the detection reliability of different objects. Instead of uniformly increasing irradiation density across all objects, the system selectively increases irradiation density only for specific objects that require higher detection accuracy (those with low detection reliability), while maintaining normal irradiation density for objects that are already clearly detected. This resolves the contradiction by making the irradiation density spatially and object-specific rather than uniform.
2Reliability
If the scanning continues in high irradiation density mode as long as the target object is detected, then the detection reliability is maintained, but the energy consumption increases and unknown objects may be missed
Solution Approach 1:
The patent applies dynamics by making the irradiation density and scanning mode dynamic rather than static. The system continuously evaluates detection reliability and adjusts the scanning mode accordingly - switching between normal scanning mode and high irradiation density scanning mode based on real-time detection results. This allows the system to maintain detection reliability when needed while reducing energy consumption by exiting high-density mode when objects are clearly detected or when new objects appear that require attention.
Solution Approach 2:
The patent implements feedback by using detection reliability results to control the scanning mode. The object detection unit provides feedback about detection reliability to the control unit, which then adjusts the irradiation density and scanning mode accordingly. This closed-loop feedback mechanism ensures that high energy consumption modes are only activated when necessary for reliable detection, and are deactivated when detection confidence is sufficient or when new objects require scanning.
3Measurement precision
If the irradiation density is increased for objects with highest relative speed, then the detection accuracy for moving objects is improved, but the scanning coverage decreases causing unknown objects to be missed
Solution Approach 1:
The patent applies dynamics by implementing a dual-mode scanning system that can dynamically switch between normal scanning mode (wide coverage) and high irradiation density scanning mode (focused on specific objects). The control unit monitors detection reliability and object characteristics, then dynamically adjusts the scanning parameters. This allows the system to maintain wide scanning coverage while selectively applying high irradiation density only to specific objects that require enhanced detection, rather than uniformly reducing coverage across all areas.
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
Improves efficiency and accuracy by selectively increasing irradiation density only for necessary objects, reducing unnecessary scanning and enhancing detection of both known and unknown objects.
Implementation Method 1
a sensor that scans the periphery of the vehicle... acquire point cloud data of an object existing in a periphery of a vehicle according to a scanning result
Data Source
AI summary
Provided is an object detection device capable of improving efficiency while ensuring detection accuracy.An object detection device 1 includes a point cloud acquisition unit 201 that acquires point cloud data of an object according to a scanning result of a LiDAR 101, an object detection unit 204 that detects an object based on the point cloud data, and a reliability determination unit 205 that determines a reliability in a detection result of the object detection unit 204. The point cloud acquisition unit 201 controls the scanning range and the irradiation density of the LiDAR 101 on the basis of the reliability.