Vehicle Video Streaming with Adaptive Network Coding
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Solution Overview
Problem
Current digital video streaming systems for vehicles face challenges due to varying network connection quality, leading to data loss and increased bandwidth use and processing overhead from re-transmitting lost data.
Innovation Solution
A system and method for real-time video streaming in vehicles that includes a camera system, a vehicle communication system, and a vehicle controller programmed to determine a system enablement state and camera configuration based on context data from mobile devices, remote servers, and vehicle sensors, using adaptive network coding to dynamically adjust packet transmission and error correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If re-transmission of lost data is performed to compensate for network connection quality variations, then video streaming reliability is improved, but bandwidth usage and processing overhead increase
Solution Approach 1:
The patent applies preliminary action by generating and transmitting encoded packets with error correction capabilities before data loss occurs. The system pre-processes video data into encoded packets that contain redundancy information, allowing the receiver to reconstruct lost data without requiring re-transmission. This proactive approach resolves the contradiction by ensuring reliability through advance preparation rather than reactive re-transmission, thereby reducing bandwidth usage and processing overhead.
2Ease of operation
If video data is transmitted in real-time over network connections with varying quality, then occupant awareness and convenience are improved, but data loss occurs due to network variability
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting encoding parameters such as packet size, redundancy level, and compression ratio based on real-time network conditions. When network quality deteriorates, the system increases redundancy and reduces compression to minimize data loss. This adaptive parameter adjustment resolves the contradiction by maintaining ease of operation through real-time video streaming while compensating for network variability through dynamic encoding parameter optimization.
3Duration of action of stationary object
If network connection quality varies due to location, weather, and congestion, then system adaptability is challenged, but video streaming continuity is required
Solution Approach 1:
The patent applies dynamics by implementing a dynamic encoding and transmission system that continuously adapts to changing network conditions. The system monitors network quality parameters such as bandwidth availability, packet loss rate, and latency, and dynamically adjusts encoding complexity, packet size, and transmission frequency accordingly. This dynamic adaptation resolves the contradiction by maintaining video streaming continuity through real-time adjustments to encoding and transmission parameters, enabling the system to handle varying network conditions caused by location, weather, and congestion.
Data Source
AI summary
A system for real-time video streaming for a vehicle includes a camera system configured to capture videos of an environment surrounding the vehicle. The system also includes a vehicle communication system configured to communicate with a remote server and a vehicle controller in electrical communication with the camera system and the vehicle communication system. The vehicle controller is programmed to determine a system enablement state. The vehicle controller is further programmed to determine a camera system configuration in response to determining that the system enablement state is a system enabled state. The vehicle controller is further programmed to capture at least one video frame using the camera system based at least in part on the camera system configuration. The vehicle controller is further programmed to transmit the at least one video frame to the remote server using the vehicle communication system.


