Vehicle Navigation Fog Removal via Speed-Adaptive Saturation
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Solution Overview
Problem
Conventional fog removal solutions for vehicle navigation fail to consider dynamic vehicle speed and saturation enhancement, leading to ineffective removal of fog and haze, especially in adverse weather conditions.
Innovation Solution
A method and system that identify a Region of Interest in video frames, compute and modify function parameters based on vehicle speed to enhance saturation values, and dynamically tune these parameters to produce an enhanced video for improved visibility during navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional fog removal solutions use static image processing or video processing without considering vehicle speed, then the processing is simple, but the fog removal effectiveness is poor especially in dense fog conditions
Solution Approach 1:
The patent applies dynamics by making the fog removal process adaptive to vehicle speed. The system dynamically adjusts processing parameters based on real-time speed data, transitioning from static to dynamic processing. This resolves the contradiction by incorporating speed-based adaptability that improves fog removal effectiveness without requiring overly complex fixed processing for all conditions.
Solution Approach 2:
The patent changes processing parameters based on vehicle speed. Different speed ranges trigger different processing intensities and parameter settings. This parameter adaptation allows the system to achieve better fog removal effectiveness in dense fog when needed while maintaining simpler processing during normal conditions, thus resolving the contradiction between effectiveness and complexity.
2Illumination intensity
If conventional solutions process all frames uniformly without saturation enhancement, then the processing is fast, but the visibility enhancement is insufficient
Solution Approach 1:
The patent applies local quality by selectively enhancing saturation in specific regions (Region of Interest) rather than uniformly processing all frames. The system identifies ROIs and applies saturation enhancement only where needed, which improves visibility enhancement effectiveness while maintaining processing speed by avoiding unnecessary full-frame processing.
Solution Approach 2:
The patent uses partial action by applying saturation enhancement only to identified Regions of Interest rather than all frames. This selective approach provides sufficient visibility enhancement for navigation while maintaining processing speed, resolving the contradiction between visibility enhancement and processing productivity.
3Measurement precision
If the system dynamically adjusts saturation based on vehicle speed and updates function parameters, then the fog removal accuracy is improved, but the computational load increases
Solution Approach 1:
The system uses dynamics by updating function parameters adaptively based on vehicle speed changes. Rather than continuous heavy computation, the system adjusts parameters dynamically when speed changes occur, improving fog removal accuracy while managing computational energy consumption through event-driven updates rather than constant processing.
4Stability of the object's composition
If conventional solutions do not consider vehicle speed variation, then the algorithm is simple, but the stability of fog removal is poor
Solution Approach 1:
The patent changes algorithm parameters based on vehicle speed to improve stability. By adapting processing parameters to speed conditions, the system achieves stable fog removal performance across varying driving scenarios. This parameter adaptation resolves the contradiction by making the algorithm sufficiently complex only when needed for stability, rather than maintaining fixed simplicity that compromises performance.
Data Source
AI summary
The present invention relates to the field of dynamic content creation and management and more particularly to dynamically create and insert immersive promotional content in a multimedia. The multimedia requested by a user is procured from a media server (105) and the one or more objects present in the multimedia is determined. The content of the multimedia is analyzed, and a decision is taken to immerse the promotional content in the multimedia based on the analysis of the multimedia. Further, a promotional content is created in real time using the components present in the asset database (106) based on the personalized user profile. The created promotional content is overlaid and blended with a at least one object from the one or more objects in the multimedia. The created promotional content and the multimedia is joined to form a composite media and is streamed to the user device.