Surround-View Camera Object Projection for Distortion-Free Top Views
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing surround-view camera systems for vehicles often distort the representation of objects in the vehicle surroundings, leading to visually disturbing images.
Innovation Solution
A method involving capturing object data, generating a bounding box, projecting onto a ground plane, creating a mesh or grid structure, and arranging it within the bounding box to adapt image scaling and distortion, ensuring objects are represented clearly and distortion-free.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If images are projected onto a ground surface to generate a top view, then a comprehensive view of vehicle surroundings is achieved, but objects become visually distorted
Solution Approach 1:
The ground surface is divided into multiple regions: a first region for the vehicle, a second region for objects, and a third region for the background. By segmenting the projection surface, the patent applies different processing methods to different regions, allowing objects in the second region to be represented without distortion while maintaining the overall top view composition.
Solution Approach 2:
Different quality standards and processing methods are applied to different regions of the image. Objects in the second region are handled with special care to prevent distortion, while other regions follow standard projection rules. This local differentiation resolves the contradiction between comprehensive view generation and accurate object representation.
2Area of stationary object
If fisheye lens cameras are used to capture a wide field of view, then the area covered is increased, but image distortion increases
Solution Approach 1:
The patent transitions from 2D image projection to 3D point cloud processing. By converting image data into three-dimensional point clouds and then projecting these onto a ground surface, the system maintains accurate spatial relationships and object dimensions while achieving wide-area coverage, effectively resolving the distortion issue inherent in traditional fisheye lens projections.
Data Source
AI summary
The present disclosure relates to a method for generating a view for a camera system, in particular a surround-view camera system for a vehicle, including a control device and at least one camera, wherein the view is generated by means of the following method steps: capturing at least one object from the environment data from the at least one camera; generating a bounding box for the object; projecting the object onto a ground plane; creating a bounding shape which includes the bounding box and the projected object; creating a mesh structure or grid structure for the bounding shape; and arranging the mesh structure or grid structure within the bounding box, wherein the bounding shape is adapted, in particular by image scaling and/or image distortion, to the size of the bounding box.

