Low-Latency Video Streaming for Remote Vehicle and Drone Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing remote monitoring and control systems for autonomous vehicles, robots, or drones face challenges in achieving low video latency, which is crucial for safe and timely operator intervention in case of unsafe operating conditions.
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 WebRTC technology for secure, low-latency video streaming over private LTE or 5G networks, ensuring real-time video feed and control commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video streaming is implemented for remote monitoring and control of autonomous vehicles, then operator awareness and safety monitoring capability are improved, but video latency increases causing delayed operator response
Solution Approach 1:
The system pre-establishes a communication link between the autonomous vehicle and remote operator before an incident occurs. This preliminary connection allows the operator to receive video feeds and prepare for potential intervention, reducing the effective response time when safety issues arise.
Solution Approach 2:
The patent introduces a communication system as an intermediary between the autonomous vehicle's sensors and the remote operator. This intermediary transmits video data and sensor information in real-time, enabling the operator to monitor vehicle conditions and intervene when necessary, thus resolving the contradiction between maintaining safety monitoring and minimizing response delay.
2Extent of automation
If autonomous operation mode is implemented, then vehicle automation and reduced human input are improved, but safety uncertainty and operator intervention needs increase
Solution Approach 1:
The system implements a feedback mechanism where sensors continuously monitor the environment and vehicle status, transmitting this data to both the autonomous control system and a remote operator. This dual-feedback approach allows the autonomous system to operate independently while providing a safety net through remote monitoring, thus increasing safety certainty without reducing automation extent.
Solution Approach 2:
The patent establishes a remote operator as a preparatory safety cushion who can take control of the vehicle if the autonomous system fails. This prior cushioning arrangement provides psychological and operational safety assurance, allowing higher levels of automation to be implemented with reduced safety uncertainty.
3Loss of time
If real-time video streaming with low latency is implemented, then operator response time is improved, but system complexity and processing requirements increase
Solution Approach 1:
The system extracts and prioritizes only the most critical video data and sensor information for transmission to the remote operator. By selecting only essential data streams rather than transmitting all available information, the system achieves low latency communication without requiring overly complex processing infrastructure.
Solution Approach 2:
The patent dynamically adjusts video streaming parameters such as resolution, frame rate, and compression level based on vehicle speed, environmental conditions, and incident severity. This parameter adaptation allows the system to maintain low latency while managing processing complexity by reducing data transmission requirements during normal operation and increasing them only when necessary.
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.