Dynamic Blind Spot Image Switching for Driving Assistance
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Solution Overview
Problem
Existing driving assisting systems face challenges in providing continuous and reliable images of blind spots to drivers due to the limitations of fixed-point cameras and moving vehicles, where obstacles and changing camera positions disrupt the coverage of blind spot regions.
Innovation Solution
A driving assisting system that dynamically chooses and switches image signals based on the location, orientation, viewing angle, and moving speed of cameras mounted on self- and other vehicles, using CDMA, FDMA, or optical communications to ensure real-time image provision of blind spots, and combines images from multiple cameras for comprehensive coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed-point cameras are used to photograph blind spots, then the photographing position remains stable, but the image cannot be provided when obstacles block the camera view
Solution Approach 1:
The system dynamically switches between multiple photographing apparatuses based on real-time conditions. When an obstacle blocks the fixed-point camera, the system automatically selects another camera (mobile or fixed) that can capture the blind spot region, making the photographing position dynamic rather than static.
Solution Approach 2:
The system uses multiple photographing apparatuses with different functions - fixed-point cameras provide stable baseline coverage while mobile cameras (mounted on vehicles) provide flexible supplementary coverage. This multi-functional approach ensures that at least one camera can always capture the blind spot regardless of obstacles.
2Adaptability or versatility
If cameras are mounted on moving vehicles to provide blind spot images, then coverage flexibility improves, but the image may go out of photographing coverage over time
Solution Approach 1:
The system continuously monitors the photographing coverage of each camera and the position of obstacles. When a mobile camera approaches the edge of its effective coverage or an obstacle appears, the system receives feedback and switches to another camera before the image quality degrades, ensuring continuous reliable coverage.
Solution Approach 2:
The system proactively switches between cameras based on predicted coverage changes rather than waiting for coverage loss. By monitoring camera positions and obstacle locations in real-time, the system performs preliminary switching actions to maintain continuous blind spot coverage before gaps occur.
3Reliability
If multiple photographing apparatuses are deployed to ensure continuous blind spot coverage, then image provision reliability improves, but the system complexity increases
Solution Approach 1:
The system uses an image selection apparatus as an intermediary that automatically manages the complexity of coordinating multiple photographing apparatuses. This intermediary device receives images from multiple sources, evaluates their quality and coverage, and selects the appropriate image for output, simplifying the overall system architecture.
Solution Approach 2:
The system creates virtual copies of the blind spot view from different camera perspectives and selects the best one. Rather than physically coordinating multiple active photographing systems, the system captures images from multiple sources and uses software-based selection to provide the single best view, reducing physical system complexity.
4Device complexity
If images are updated periodically from fixed points, then system simplicity is maintained, but real-time blind spot information cannot be provided
Solution Approach 1:
The system transitions from periodic static image updates to dynamic real-time image provision. Mobile cameras on vehicles continuously capture and transmit blind spot images, and the image selection apparatus dynamically switches between these real-time feeds, providing current blind spot information rather than outdated periodic updates.
Data Source
AI summary
Considering the locations of a self-vehicle and other vehicles changing from moment to moment, an image signal is chosen in relation to the location, orientation, viewing angle, and moving speed of a camera mounted on each vehicle, and information on a region to be a driver's blind spot is provided in real time by means of images and voice. When there is the other vehicles whose camera meets requirements such as the location, orientation, viewing angle, and moving speed for photographing a region to be the self-vehicle's blind spot, it is possible to provide information on the blind spot by the image picked up by the camera. However, since the other vehicle's location also changes with a lapse of time, it is not possible to keep photographing the blind spot with the same camera. Therefore, the image of the driver's blind spot is obtained in real time by constantly detecting the location, orientation, viewing angle, and moving speed of cameras mounted on the other vehicles running near the self-vehicle, choosing dynamically a camera capable of photographing the region to be the self-vehicle's blind spot, and switching image signals in succession.