Vehicle Imaging Device Vanishing Point Detection
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Solution Overview
Problem
Conventional vehicle imaging devices using fisheye lenses often inaccurately determine the front and rear sides of a vehicle, leading to incorrect extraction of regional images, which affects the quality of 360-degree imaging.
Innovation Solution
A vehicle imaging device equipped with a motion vector detector, a front-rear-right-left determination unit, an image rotation unit, and a measurement unit, which detects motion vectors, determines the vehicle's sides, rotates the image to adjust regional positions, and measures vanishing points to correctly identify and extract front and rear image regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the vehicle imaging device uses a fisheye lens to capture 360-degree images, then the coverage area is improved, but the determination accuracy of front and rear sides deteriorates
Solution Approach 1:
The patent segments the 360-degree captured image into multiple regional images (front, rear, left, right) based on vanishing point detection and motion vector analysis. By dividing the image processing task into distinct regions with different processing strategies, the system maintains high coverage while improving directional determination accuracy for each segment.
Solution Approach 2:
Instead of directly determining front and rear sides from the raw fisheye image, the patent inverts the approach by detecting vanishing points and motion vectors first, then using these to identify directional characteristics. This indirect method overcomes the distortion issues inherent in fisheye lenses.
2Measurement precision
If the image rotation unit rotates the captured image to adjust regional positions, then the extraction accuracy is improved, but the processing complexity increases
Solution Approach 1:
The patent performs preliminary actions by detecting vanishing points and analyzing motion vectors before extracting regional images. This preprocessing establishes the correct orientation and regions, making the subsequent extraction process more accurate and efficient despite the additional initial processing steps.
Solution Approach 2:
The system uses feedback from motion vector analysis and vanishing point detection to continuously refine the determination of front and rear sides. The measurement unit monitors the generation time of vanishing points and adjusts the image rotation accordingly, creating a closed-loop control system that improves accuracy.
Data Source
AI summary
A measurement unit measures a first generation time of a first vanishing point of a plurality of radially diverging motion vectors generated in a front image region and a second generation time of a second vanishing point of a plurality of converging motion vectors generated in the front image region within a predetermined period of time in a state in which an image rotation unit adjusts positions of the front image region and a rear image region in a circumferential direction. The image rotation unit keeps the positions of the front image region and the rear image region in the circumferential direction when the first generation time measured by the measurement unit is longer than the second generation time, and rotates the captured image to reverse the front image region and the rear image region when the first generation time is not longer than the second generation time.