Low-Latency Video Streaming for Remote Vehicle and Drone Control
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Solution Overview
Problem
Existing remote monitoring and control systems for autonomous vehicles, robots, or drones face challenges in achieving low video latency, which is critical for safe and timely operator intervention in case of safety hazards.
Innovation Solution
The system employs a Generic Smart Remote Monitor and Control Device (G-SRMCD) equipped with advanced processing capabilities, including GPU co-processors, and utilizes private LTE or 5G networks to achieve ultra-low latency video streaming, with average latency reduced to under 40 milliseconds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If video streaming is transmitted over public mobile networks with standard encoding, then system complexity is reduced, but video latency increases to unacceptable levels (500ms or more)
Solution Approach 1:
The system segments video processing into distinct functional modules: GPU-accelerated encoding, packetization, network transmission, and decoding. This modular architecture allows each component to be optimized independently, achieving low latency without overwhelming system complexity.
Solution Approach 2:
A dedicated low-latency communication protocol acts as an intermediary between the encoding and decoding stages, optimizing data transmission and reducing network overhead. This intermediary layer enables precise control over timing and synchronization.
2Measurement precision
If high-definition video encoding is performed to improve image quality, then video quality increases, but processing time and latency increase
Solution Approach 1:
The system replaces traditional CPU-based video encoding with GPU-accelerated encoding. The parallel processing architecture of GPUs dramatically reduces encoding time while maintaining or improving video quality, achieving real-time performance for high-definition streams.
3Area of stationary object
If multiple cameras are used to provide comprehensive viewing angles, then monitoring coverage is improved, but video data volume and transmission bandwidth requirements increase
Solution Approach 1:
The system merges video streams from multiple cameras into a single synthesized view or selectively transmits only critical streams based on event detection. This reduces overall data volume while maintaining comprehensive monitoring coverage through intelligent stream management.
Solution Approach 2:
The system transmits full-resolution video only when events are detected, otherwise sending reduced-resolution or key-frame data. This partial action approach minimizes bandwidth usage during normal operation while ensuring high-quality transmission when needed.
4Reliability
If remote operators are given full control capability to intervene in autonomous vehicle operation, then safety is improved, but response time is reduced due to video latency
Solution Approach 1:
The system performs preliminary actions by pre-processing video data, pre-positioning decoded frames in buffer memory, and pre-establishing communication channels. This ensures that when operators need to intervene, the video feed is already optimized and ready for immediate display, minimizing perceived latency.
Solution Approach 2:
The system maintains continuous video streaming and decoding operations even when no intervention is needed, keeping the processing pipeline continuously active and synchronized. This eliminates startup delays and ensures operators receive uninterrupted real-time video during critical moments.
Data Source
AI summary
A system is disclosed. The system has an ultra-low latency data and video streaming module, comprising computer-executable code stored in non-volatile memory, a processor, a control center device, and a plurality of vehicle, robot or drone units that operate remotely from the control center device, each of the plurality of units including a control device. The control module, the processor, the control center device, and the control devices are configured to video stream using one or more camera modules disposed at each of the plurality of units, transfer the video streams from the control devices to the control center device.