Own Vehicle Image Compression Using Speed And Radar Distance
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Solution Overview
Problem
Existing technologies for removing privacy information from vehicle images, such as those described in JP 2012-503817 A, require complex image processing devices and synchronized depth information, making them costly and impractical for general vehicles.
Innovation Solution
An own vehicle equipped with a camera, radar, and traveling speed sensor, where an image compressor adjusts image quality based on vehicle speed and distance to the preceding vehicle, ensuring privacy protection without complex image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If depth image information and synchronized sensors are used to remove privacy information, then privacy protection is improved, but device complexity and cost increase
Solution Approach 1:
The patent changes the parameter of image quality (compression ratio) based on vehicle speed and distance conditions. By adjusting image quality dynamically, the system achieves privacy protection without requiring complex depth sensors or synchronized multi-camera systems. The image compressor modifies compression parameters according to predetermined conditions, resolving the contradiction between privacy protection and device complexity
Solution Approach 2:
The patent uses standard image compression technology with adjustable quality parameters instead of expensive specialized privacy-protection hardware. By utilizing readily available image compressors and standard sensors (camera, radar, speed sensor), the system achieves privacy protection through software-based image quality adjustment rather than requiring complex hardware systems
2Reliability
If high image quality is maintained for driving assistance, then driving safety is improved, but privacy information becomes more visible
Solution Approach 1:
The patent implements dynamic image quality adjustment based on real-time vehicle speed and distance conditions. The image compressor dynamically changes compression ratios according to whether the vehicle is stopped, moving at low speed, or moving at high speed, and according to the distance to the preceding vehicle. This dynamic adjustment ensures privacy protection when needed while maintaining image quality for driving assistance when appropriate
Solution Approach 2:
The patent applies different image quality levels to different driving scenarios. Instead of uniformly compressing all images, the system applies appropriate compression ratios based on specific conditions (stopped, low speed, high speed) and distance to preceding vehicles, achieving local optimization of both privacy protection and driving assistance performance
3Reliability
If image compression is applied to protect privacy, then privacy protection is improved, but image quality for driving assistance deteriorates
Solution Approach 1:
The patent applies partial compression action by adjusting image quality based on specific conditions. Instead of always applying maximum compression for privacy protection, the system applies compression only when necessary (when vehicle is stopped or moving at low speed with preceding vehicle within threshold distance), and maintains higher image quality when full driving assistance performance is needed
Data Source
AI summary
An own vehicle includes a camera, a radar, a traveling speed sensor, and an image compressor that compresses an image in front of the own vehicle captured by the camera, wherein when the traveling speed of the own vehicle is equal to or less than a first threshold value, the image compressor compresses the image in front of the own vehicle into an image of a first image quality, when the traveling speed of the own vehicle is more than the first threshold value and also when the distance between the own vehicle and a preceding vehicle measured by the radar is less than a second threshold value, the image compressor compresses the image in front of the own vehicle into an image of a second image quality that is a higher image quality than the first image quality.