Tele-Operated Driving Session Control Under Network QoS Limits
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Solution Overview
Problem
Current tele-operated driving systems for autonomous vehicles face challenges in ensuring reliable communication quality, particularly in terms of latency and data rate, which can impact the ability to adapt to changing environments and maintain safe operation when autonomous systems fail or encounter unexpected conditions.
Innovation Solution
A method and apparatus that predict the quality of service and communication requirements for tele-operated driving sessions by adapting the maximum vehicle speed and video compression settings, using sensors and artificial intelligence to match communication needs with available network capabilities, ensuring reliable data transmission and low latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the vehicle speed is increased to improve productivity, then the data transmission rate requirement increases, but the communication quality of service deteriorates due to latency and bandwidth limitations
Solution Approach 1:
The system dynamically adapts the maximum vehicle speed based on real-time communication quality predictions. The automated driving function continuously monitors network conditions and adjusts the speed parameter to ensure communication requirements match available quality of service, resolving the contradiction between productivity and reliability.
Solution Approach 2:
The system changes the vehicle speed parameter in response to predicted communication conditions. By adapting the maximum speed to match network capabilities, the system ensures that data transmission requirements align with available bandwidth and latency tolerances, maintaining both productivity and communication reliability.
2Quantity of substance
If video compression is increased to reduce data transmission requirements, then communication bandwidth consumption decreases, but the measurement precision of the environment deteriorates
Solution Approach 1:
The system applies partial compression by adapting video compression settings to match predicted communication requirements. Rather than using maximum compression, the system selects compression levels that satisfy bandwidth constraints while preserving sufficient environmental detail for safe tele-operated driving, balancing data volume reduction with measurement precision.
Solution Approach 2:
The system dynamically adjusts video compression parameters based on predicted communication quality. By changing compression settings in real-time according to network conditions, the system optimizes the balance between data transmission volume and environmental perception accuracy, ensuring adequate precision while managing bandwidth consumption.
3Ease of operation
If tele-operated driving session is initiated without predicting communication requirements, then the ease of operation improves, but the reliability of safe operation deteriorates due to unmet communication needs
Solution Approach 1:
The system performs preliminary prediction of communication requirements and quality of service before initiating the tele-operated driving session. This advance assessment ensures that communication needs are evaluated and matched against available network capabilities, guaranteeing reliable safe operation while maintaining ease of operation through automated prediction processes.
Solution Approach 2:
The system uses feedback from communication quality predictions to determine whether to initiate or defer tele-operated driving sessions. By continuously monitoring and predicting communication conditions, the system ensures that sessions are only started when communication requirements can be met, maintaining both operational simplicity and safety reliability.
Data Source
AI summary
A method, a computer program, and an apparatus for invoking a tele-operated driving session for a transportation vehicle equipped with an automated driving function, and a transportation vehicle equipped with an automated driving function, which uses the method or apparatus. A quality of service for a communication between the transportation vehicle and a control center is predicted for a tele-operated driving session, communication requirements for the tele-operated driving session are predicted, at least one parameter of the transportation vehicle is then adapted so that the communication requirements match the predicted quality of service, and a tele-operated driving session is initiated.