Surround View Image Processing for Occlusion Blind Spots
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current surround view monitor systems in vehicles struggle with occlusions caused by obstacles, leading to blind spots and reduced visibility during parking and maneuvering.
Innovation Solution
A method and apparatus that generate multiple view images from different cameras, determine occlusion regions, and use temporary boundaries to synthesize a top-view image by selectively using the least occluded view images, minimizing blind spots and enhancing visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple view images are synthesized to create a top-view image, then visibility and object recognition are improved, but occlusion regions caused by obstacles create blind spots that reduce measurement precision
Solution Approach 1:
The patent divides the top-view image into multiple regions based on occlusion levels. It segments the image into fully visible regions, partially occluded regions, and fully occluded regions, allowing different processing strategies for each segment to maximize information retention while managing blind spots
Solution Approach 2:
The patent transitions from 2D view images to a 3D spatial representation by calculating depth information and occlusion levels. It uses multiple camera viewpoints to create a multi-dimensional understanding of the environment, enabling it to identify and handle occlusion regions more effectively
2Reliability
If view images are processed to identify and handle occlusion regions, then blind spots are minimized, but the complexity of the image processing system increases
Solution Approach 1:
The patent performs preliminary identification of occlusion regions before final image synthesis. It pre-processes multiple view images to detect obstacles and determine occlusion levels, creating a roadmap for subsequent image composition that simplifies the overall processing pipeline
Solution Approach 2:
The patent introduces intermediate processing steps including occlusion detection modules and region classification layers that act as mediators between raw camera inputs and the final top-view image. These intermediaries break down the complex task into manageable stages
Data Source
AI summary
A method and apparatus with moving object view image processing is provided. The method includes generating a first view image of a first moving object view and a second view image of a second moving object view, determining a first occlusion region in the first view image by an obstacle in the first view, and determining a second occlusion region in the second view image by an obstacle in the second view, determining a first temporary boundary of the obstacle in the first view with respect to a first overlap region between the first view and the second view, based on the first occlusion region, determining a second temporary boundary of the obstacle in the second view with respect to the first overlap region, based on the second occlusion region, and generating a top-view image of the moving object based on the first and second temporary boundaries.