Surround-View Underfloor Imaging During Vehicle Turns
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Solution Overview
Problem
Conventional vehicle periphery monitoring devices cannot generate an underfloor image when a vehicle is moving forward while making a left or right turn, limiting their functionality.
Innovation Solution
The device employs a combination of front, rear, left side, and right side cameras to capture and store images, allowing the generation of an underfloor image even during turns by using past image data from the appropriate cameras based on the vehicle's direction and speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only front camera image data is used to generate underfloor image, then the device complexity is reduced, but the adaptability to different vehicle movement conditions deteriorates
Solution Approach 1:
The system dynamically selects and combines image data from different cameras based on the vehicle's movement state. When the vehicle moves straight, only front camera data is used; when turning, side camera data is selectively incorporated. This dynamic adaptation resolves the contradiction by adjusting processing complexity according to operational requirements.
Solution Approach 2:
The image processing system is designed to handle multiple types of vehicle movements (straight motion and turning) using a unified framework that selectively incorporates data from different camera sources. This multi-functional approach enables the system to adapt to various movement conditions without requiring separate processing pipelines.
2Adaptability or versatility
If four cameras are used to capture images for underfloor image generation during turns, then the adaptability to turning movements is improved, but the device complexity increases
Solution Approach 1:
The camera system is segmented into functionally distinct units (front, rear, left side, right side cameras) that can be independently activated based on vehicle movement. This segmentation allows the system to use only the necessary cameras for each specific maneuver, reducing the effective complexity while maintaining adaptability.
Solution Approach 2:
The system dynamically activates specific camera subsets based on vehicle movement detection. During straight motion, only front and rear cameras are active; during turns, the corresponding side camera is activated. This dynamic camera selection reduces processing complexity while maintaining full adaptability to turning movements.
3Manufacturing precision
If all four past images are stored for underfloor image generation, then the quality of underfloor image during turns is improved, but the loss of time for memory operations increases
Solution Approach 1:
The system dynamically determines which past images to retrieve and process based on current vehicle movement state. During straight motion, only front image data is processed; during turns, the minimal necessary side image data is incorporated. This dynamic selection reduces processing time while maintaining image quality by avoiding unnecessary data handling.
Solution Approach 2:
The system extracts only the essential image data components needed for the current vehicle maneuver. Instead of processing all four past images uniformly, it extracts and processes only the relevant subset (front image for straight motion, or front plus one side image for turns), reducing processing time while preserving necessary image quality.
Data Source
AI summary
A vehicle periphery monitoring device stores images photographed with a front camera, a rear camera, a left side camera, and a right side camera as a past front image, a past rear image, a past left side image, and a past right side image, respectively. When a vehicle travels while making a turn, the vehicle periphery monitoring device generates an underfloor image indicating a condition of an underfloor of the vehicle using at least one of the past front image and the past rear image and at least one of the past left side image and the past right side image. The vehicle periphery monitoring device displays the generated underfloor image on a display.