Dynamic Video Quality Adjustment for Remote Driving
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing remote driving technologies face challenges in ensuring accurate remote driving while minimizing communication costs, as higher video quality increases data transmission and costs.
Innovation Solution
A video transmission system that dynamically adjusts video quality based on the intensity of the remote driver's operations, increasing quality during active operations and reducing it during non-active periods to conserve data and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video quality is increased to improve remote driving accuracy, then the accuracy of remote driving is improved, but the amount of transmission data and communication cost increase
Solution Approach 1:
The patent applies dynamics by making the video quality adjustable and changeable over time. The system dynamically changes video quality between a first quality (higher) and a second quality (lower) based on whether an active operation is detected. This allows the video quality to adapt to different operational states, providing high quality only when necessary for active operations while reducing quality during passive operations to save communication resources.
Solution Approach 2:
The patent changes the video quality parameter based on the operational state. When an active operation is detected, the system sets the video quality to the first (higher) quality; when no active operation is detected, it switches to the second (lower) quality. This parameter change approach allows the system to optimize between video quality and communication cost by adjusting the quality parameter according to real-time operational needs.
2Measurement precision
If video quality is increased to improve remote driving accuracy, then the accuracy of remote driving is improved, but the communication cost increases
Solution Approach 1:
The system dynamically adjusts video quality based on operational state, switching between first quality (during active operations) and second quality (during passive operations). This dynamic adjustment ensures high video quality is provided only when necessary for accurate remote driving control, while reducing quality during passive operations to minimize communication cost and energy consumption.
Solution Approach 2:
The video quality parameter is changed based on whether an active operation is detected. The system sets video quality to the first parameter value (higher quality) during active operations and switches to the second parameter value (lower quality) during passive operations, optimizing the balance between driving accuracy and communication cost.
3Measurement precision
If video quality is uniformly set to high level, then the accuracy of remote driving is ensured, but the communication cost increases throughout all periods
Solution Approach 1:
The patent applies local quality by providing different video qualities for different operational periods. Instead of uniformly applying high video quality across all time, the system provides first (higher) quality locally during active operation periods and second (lower) quality during passive operation periods. This localized quality approach ensures high accuracy is provided only where and when needed, while reducing overall data transmission.
Solution Approach 2:
The system dynamically switches video quality based on operational state, transitioning between first quality during active operations and second quality during passive operations. This dynamic adjustment allows the system to optimize the balance between maintaining driving accuracy and reducing overall transmission data volume.
Data Source
AI summary
A video transmission system transmits a video from a moving body that is a target of remote driving by a remote driver to a terminal on a side of the remote driver. The video transmission system executes an active operation determining process to detect or predict an active operation in which a degree of intensity of a driving operation by the remote driver exceeds a first threshold value, and a video quality increase process to increase quality of a video transmitted to the terminal during a first period after the active operation is detected or predicted, as compared with during a period other than the first period.