3D Object Detection Device Using Speed Variability to Filter Plant Growth
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Solution Overview
Problem
Conventional three-dimensional object detection devices struggle to accurately differentiate between plant growths and vehicles, leading to erroneous detection of plant growths as adjacent vehicles, resulting in low detection accuracy.
Innovation Solution
A three-dimensional object detection device that utilizes a camera, speed sensor, and computer to convert captured images to bird's-eye view, align images over time, generate difference waveforms, and assess movement speed variability to distinguish between plant growths and vehicles, ensuring accurate detection of adjacent vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pattern matching image processing is used to detect roadside plantings, then detection coverage is improved, but detection accuracy deteriorates causing plant growths to be errantly detected as vehicles
Solution Approach 1:
The detection process is segmented into multiple independent analysis stages: initial object detection, movement speed calculation, variability assessment, and final classification. This segmentation allows each stage to focus on specific characteristics, improving overall accuracy while maintaining comprehensive detection coverage
Solution Approach 2:
The system dynamically assesses movement speed variability over time to distinguish between stationary plant growths and moving vehicles. By continuously monitoring speed changes and applying temporal thresholds, the system adapts its detection criteria based on observed motion patterns, resolving the contradiction between comprehensive detection and accurate classification
2Quantity of substance
If image processing is used to detect all objects in captured images, then detection completeness is improved, but reliability deteriorates due to erroneous detection of plant growths as adjacent vehicles
Solution Approach 1:
The system performs preliminary detection of all objects in the captured image before applying filtering criteria. This preliminary action ensures no potential vehicle is missed, while subsequent reliability checks (movement speed assessment, variability analysis) eliminate false positives from plant growths
Solution Approach 2:
The system uses feedback from movement speed calculations and variability assessments to continuously refine detection reliability. Objects that fail the movement criteria are fed back into the classification process as non-vehicles, while those meeting criteria proceed to vehicle detection, maintaining both completeness and reliability
Data Source
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AI summary
This three-dimensional object detection device is provided with: an image capturing means (10) for capturing a predetermined area; an image conversion means (31) for converting the viewpoint of the captured image to create a bird's-eye view image; a three-dimensional object detection means (32, 33) for generating difference waveform information from a difference image in which the positions of bird's-eye view images taken at different times have been aligned on a bird's-eye view, and detecting a three-dimensional object based on the difference waveform information; a movement speed calculation means (33) for calculating the movement speed of the three-dimensional object; a three-dimensional object assessment means (34) for assessing whether the three-dimensional object is another vehicle present in the predetermined area; a non-detection-object assessment means (34) for repeatedly calculating the amount of change in time of the movement speed of the three-dimensional object to thereby detect an amount of variability in the movement speed of the three-dimensional object, and assessing whether the three-dimensional object is a non-detection object based on the amount of variability; and a control means (34) for inhibiting, based on the assessment results of the non-detection-object assessment means (34), the three-dimensional object assessment means (34) from assessing that the three-dimensional object is the another vehicle.