Vehicle Image Region Selection for Bandwidth-Aware Object Monitoring
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Solution Overview
Problem
Existing vehicle monitoring systems struggle to accurately specify regions important for driving due to insufficient object detection and fluctuating bandwidth, leading to potential image quality deterioration.
Innovation Solution
An information processing apparatus that detects objects and specifies traveling regions in vehicle images, determining regions for high-quality image processing based on lane detection, object priority, and bandwidth availability, ensuring critical regions are maintained at high quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If only camera images and regions important for driving are transmitted with high image quality, then bandwidth usage is optimized, but the accuracy of specifying important regions deteriorates when the number of detected objects increases
Solution Approach 1:
The patent segments the image processing into multiple stages: object detection, traveling region specification, and image processing region determination. This segmentation allows the system to handle multiple objects efficiently by processing them in discrete steps, preventing performance degradation when the number of detected objects increases.
Solution Approach 2:
The patent applies different processing qualities to different regions of the image. By determining specific image processing regions based on the intersection of object regions and traveling regions, the system maintains high image quality only where necessary (in critical traveling areas) while reducing processing elsewhere, thus optimizing bandwidth usage without sacrificing accuracy in important regions.
2Device complexity
If the first predetermined range based on the line-of-sight direction of the driver is used, then the monitoring coverage is simplified, but the accuracy of specifying regions important for traveling deteriorates
Solution Approach 1:
The patent introduces an intermediary traveling region specification step between object detection and final image processing region determination. This intermediary layer uses the detected objects as input but refines the important regions by considering traveling-specific factors, thereby improving accuracy without significantly increasing overall system complexity.
Solution Approach 2:
The patent performs preliminary object detection and traveling region specification before final image processing region determination. This preliminary action allows the system to pre-identify potential important regions based on object locations, making the subsequent high-precision determination more efficient and accurate while maintaining manageable complexity.
3Loss of substance
If region images within multiple transfer regions are transmitted, then the amount of image transmission is reduced, but the ability to specify important traveling regions deteriorates when many objects are detected
Solution Approach 1:
The patent segments the transmission process by determining specific image processing regions from detected object regions. Instead of transmitting all region images, the system identifies and transmits only the relevant portions where objects intersect with traveling regions, reducing transmission amount while maintaining specification accuracy through systematic segmentation.
Solution Approach 2:
The patent changes the parameter of image transmission by selectively applying image processing to specific regions rather than uniformly processing all regions. This parameter change allows the system to reduce overall transmission data while concentrating processing resources on important traveling regions, thereby maintaining specification accuracy even when many objects are detected.
Data Source
AI summary
The present disclosure provides an information processing apparatus and the like capable of specifying an object in an image that may affect traveling of a vehicle. An information processing apparatus includes: an acquisition unit that acquires an image captured by an image capturing unit mounted on a vehicle; an object detection unit that detects one or more objects in the acquired image; a traveling region specifying unit that specifies a traveling region, in which the vehicle is traveling, from regions in the acquired image; and a determination unit that determines, based on the traveling region, an image processing region, which is subjected to image processing, among regions of the one or more objects.