Vehicle Surround View Masking for Movable Component Blind Spots
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Solution Overview
Problem
Surround-view camera systems for vehicles often have blind regions near the vehicle boundaries, particularly the ground, which can obscure objects and reduce visibility during maneuvering, such as parking or reversing.
Innovation Solution
A method and device that generate a surround view by creating geometric masks representing the vehicle body and movable components, such as wheels, to exclude obstructive vehicle parts from camera images, ensuring all visible regions around the vehicle are represented, using a combination of first and second masks generated by a computing device based on camera images and vehicle models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a conservative rectangular blind region is used to cover all vehicle surroundings, then all vehicle parts are concealed, but visible ground regions detected by cameras are unnecessarily covered, creating larger blind spots
Solution Approach 1:
The blind region mask is segmented into multiple components: a first mask representing the vehicle body silhouette and a second mask representing movable component silhouettes. This segmentation allows precise control over which regions are concealed, preventing unnecessary coverage of visible ground areas while maintaining reliable vehicle body concealment.
Solution Approach 2:
The second mask dynamically adapts to the current state of movable components (wheels, mirrors, etc.) by generating silhouettes based on their actual positions and orientations. This dynamic adjustment ensures that only regions actually obscured by movable components are masked, reducing unnecessary blind spots while maintaining accurate vehicle representation.
2Device complexity
If movable components like wheels are not considered in mask generation, then the mask generation is simpler, but regions obscured by these components are not properly masked, reducing accuracy
Solution Approach 1:
The mask generation process is segmented into distinct stages: generating the first mask for the vehicle body, then generating the second mask for movable components separately. This segmentation manages complexity by breaking down the problem while ensuring accurate representation of all obscuring elements through systematic processing of each component type.
Solution Approach 2:
Silhouettes of movable components are generated in advance based on their current state (position, orientation) before being combined with the vehicle body mask. This preliminary action ensures that dynamic components are accurately represented in the final blind region mask, improving measurement precision without overwhelming system complexity.
Data Source
AI summary
The present disclosure relates to a method for generating a surround view of the surroundings of a motor vehicle, wherein the motor vehicle has a vehicle body and components which can move relative to the vehicle body, in particular deflectable components. The method includes generating a first mask which represents a silhouette of the vehicle body projected onto a background and generating a second mask which represents a silhouette of the movable components of the motor vehicle projected onto the background in the current state. The method further includes generating a mask of the motor vehicle by combining the first mask with the second mask and generating the surround view of the surroundings of the motor vehicle on the basis of camera images of vehicle cameras of the motor vehicle using the mask of the motor vehicle.