Vehicle Video Transmission Bandwidth Optimization via Risk Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle control systems waste network bandwidth by transmitting full video information, which is not optimized for risk detection and congestion levels, leading to inefficient communication and potential delays in remote vehicle operation.
Innovation Solution
A video transmitting device in vehicles that acquires first video information, creates a risk map indicating risk regions, and transmits reduced data video information to remote monitoring devices, adjusting transmission based on network congestion and risk levels, ensuring clear video of critical areas while minimizing bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full video information is transmitted from the vehicle to the remote monitoring device, then the remote operator can check the images captured by the camera, but network bandwidth is wasted leading to network shortage
Solution Approach 1:
The video information is segmented into multiple channels based on risk levels. The transmission system divides the video data into different segments corresponding to different risk regions, allowing selective transmission of only necessary video portions to the remote monitoring device, thereby reducing overall bandwidth consumption while maintaining monitoring capability.
Solution Approach 2:
Different quality levels are applied to different regions of the video based on their risk levels. High-risk regions are transmitted with high quality, medium-risk regions with medium quality, and low-risk regions with low quality or not transmitted at all. This local quality differentiation optimizes bandwidth usage while ensuring critical areas maintain adequate visual fidelity for monitoring.
2Loss of energy
If video information is reduced based on risk map, then network bandwidth is optimized, but may lose important visual information for remote operation
Solution Approach 1:
The system applies different quality levels to different spatial regions of the video based on the risk map. Critical high-risk regions maintain high visual quality to preserve important information, while low-risk regions are transmitted at lower quality or omitted. This ensures that visually important information is retained where needed while reducing overall data transmission.
Solution Approach 2:
The system uses the risk map as feedback to dynamically adjust video transmission quality. The risk map, generated from sensor data and video analysis, provides continuous feedback about which regions require high-quality transmission, allowing the system to adaptively allocate bandwidth to preserve critical visual information while optimizing overall network efficiency.
3Loss of information
If all video data is transmitted regardless of network congestion, then complete monitoring information is available, but transmission delays occur during congestion
Solution Approach 1:
Video data is segmented into priority levels based on the risk map during network congestion. Critical high-risk region data is transmitted with higher priority and potentially reduced compression, while low-risk region data is transmitted with lower priority or deferred. This segmentation allows essential monitoring information to be transmitted promptly even under congested conditions.
Solution Approach 2:
During network congestion, the system transmits only the necessary portion of video data - specifically focusing on high-risk regions - rather than attempting to transmit all video data. This partial action ensures that critical monitoring information reaches the remote operator with minimal delay, accepting that some lower-priority visual information may be omitted or delayed.
4Loss of energy
If risk-based video creation is implemented, then bandwidth efficiency improves, but system complexity increases
Solution Approach 1:
The risk map is created in advance of video transmission using sensor data and preliminary video analysis. This preliminary risk assessment allows the video processing system to pre-determine which regions require high-quality transmission, simplifying the subsequent video encoding process by providing clear guidance on quality allocation without requiring complex real-time decisions during transmission.
Solution Approach 2:
The risk map generation system serves multiple functions: it identifies high-risk regions for enhanced monitoring, guides video quality allocation, and provides input for transmission prioritization. By making the risk map a multi-functional component, the system avoids duplicating complex analysis processes and reduces overall system complexity while achieving bandwidth efficiency.
Data Source
AI summary
A video transmitting device is to be provided in a vehicle and includes a first acquiring unit that acquires first video information from an imaging unit that captures images of the surroundings of the vehicle, a risk map creating unit that creates a risk map indicating a risk region in traveling of the vehicle, a video creating unit that creates second video information having a data amount smaller than a data amount of the first video information on the basis of the risk map, and a communication unit that transmits the second video information to a remote monitoring device for remotely monitoring the vehicle.