Autonomous Driving Mode Switching Based on Network QoS
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Solution Overview
Problem
Network-connected autonomous driving vehicles rely on mobile networks for driving assistance and control, and the quality of service (QoS) characteristics of these networks directly impact the driving situation, leading to inaccuracies and inefficiencies in autonomous driving.
Innovation Solution
A method where a vehicle or server obtains QoS information of the connected network, determines adjustment information based on this data, and adjusts the driving assistance or control mode accordingly, ensuring that the vehicle's autonomous driving behavior is optimized according to the network's QoS characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle relies on mobile network for autonomous driving, then driving assistance and control can be achieved, but the QoS characteristics of the network directly affect driving accuracy
Solution Approach 1:
The patent applies dynamics by making the autonomous driving system adaptable to changing network conditions. The vehicle terminal dynamically adjusts its autonomous driving level based on real-time QoS feedback from the network, transitioning between different driving modes (fully autonomous, assisted autonomous, or manual) to maintain optimal performance despite network variability.
Solution Approach 2:
The patent implements feedback mechanisms where the vehicle terminal receives QoS information from the network and uses this feedback to adjust its autonomous driving behavior. The system continuously monitors network conditions and modifies its operation accordingly, creating a closed-loop control system that responds to network quality changes.
2Measurement precision
If the vehicle adjusts driving mode based on QoS, then driving accuracy improves, but system complexity increases
Solution Approach 1:
The patent applies universality by designing the vehicle terminal to perform multiple functions: it operates as an autonomous vehicle, receives network communications, monitors QoS parameters, and adjusts its driving mode accordingly. This multi-functionality reduces the need for separate dedicated systems for each function, thereby managing complexity while achieving accurate adaptive control.
3Measurement precision
If real-time QoS monitoring is implemented, then driving assistance accuracy improves, but network resource consumption increases
Solution Approach 1:
The patent applies parameter changes by adjusting the vehicle's autonomous driving level based on QoS parameters. When network quality is high, the system operates at higher autonomous levels with more frequent communications. When QoS deteriorates, the system transitions to lower autonomous levels, reducing communication frequency and data transmission, thereby optimizing network resource usage while maintaining driving safety.
Data Source
AI summary
A network-connected autonomous driving method includes obtaining, by a vehicle, adjustment information corresponding to quality of service (QoS) information of a network to which the vehicle is connected. The QoS information includes a predicted QoS of the network. The method further includes adjusting, by the vehicle, a driving assistance mode or driving control mode of the vehicle according to the adjustment information.