Vehicle Surround-View Overlay for Poor Visibility Driving
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Solution Overview
Problem
Existing vehicle assistance systems fail to provide clear visibility of surrounding vehicles during poor visibility conditions, leading to potential safety risks and user discomfort due to incongruous infrared camera images.
Innovation Solution
A system that determines to provide a system comprising a controller comprising a processor configured to acquire travel position information and peripheral vehicle information from a mobile communication terminal, extracting and transmitting videos of the road and surrounding vehicles captured when visibility is good, and superimposing these videos on the current view to enhance visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If infrared camera images are used to detect surrounding vehicles during poor visibility, then detection capability is improved, but image quality and user comfort deteriorate due to incongruous images
Solution Approach 1:
The system creates a virtual copy of the surrounding vehicle environment by synthesizing video images from multiple camera angles and processing them to generate a realistic representation of vehicles around the host vehicle. This virtual copy is then superimposed on the poor quality infrared camera images, providing both detection capability and visual quality without requiring direct infrared imaging of the vehicles themselves.
2Reliability
If video superimposition technology is used to display surrounding vehicles, then visibility assistance is improved, but system complexity increases due to multiple processing requirements
Solution Approach 1:
The video processing system performs multiple functions using a unified approach: it detects surrounding vehicles, tracks their positions, generates virtual video images from multiple camera angles, and superimposes them on the original poor quality images. This multi-functional system handles both detection and visualization tasks through integrated processing, reducing overall system complexity compared to separate dedicated systems for each function.
3Reliability
If road video captured when visibility is good is extracted and transmitted, then visibility assistance is improved, but data transmission requirements increase
Solution Approach 1:
The system extracts only the essential visual information needed for visibility assistance by selectively processing and transmitting video data captured during good visibility conditions. Rather than transmitting all raw video data, the system extracts key frames and essential visual elements that can be synthesized and superimposed to provide effective visibility assistance, thereby reducing the quantity of data that needs to be transmitted while maintaining assistance quality.
Data Source
AI summary
A system comprises a controller executing: when it is determined that the visibility around the first vehicle is poor, acquiring, from the mobile communication terminal of the first vehicle, travel position information indicating a position in which the first vehicle is traveling and peripheral vehicle information that is information on one or more second vehicles traveling around the first vehicle; extracting a first video that is a video that corresponds to a position indicated by the travel position information among the road video captured when the visibility is good that have been acquired in advance; and transmitting the extracted first video and the vehicle video that is superimposed on the first video and is a video depicting the second vehicle generated based on the peripheral vehicle information to the mobile communication terminal of the first vehicle.