Autonomous Vehicle Teleoperation Under Variable Network Quality
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Solution Overview
Problem
Current systems for remotely monitoring and controlling autonomous vehicles face challenges in efficiently managing data transmission based on varying network quality, leading to potential delays and inefficiencies in communication, especially in areas with poor connectivity.
Innovation Solution
A computer system dynamically adjusts the type and complexity of data transmitted between autonomous vehicles and the central system based on network connection quality, sending more detailed data in high-bandwidth conditions and less detailed data in low-bandwidth conditions to ensure timely and reliable communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed vehicle telemetry data is transmitted continuously, then monitoring precision and control reliability are improved, but network bandwidth consumption increases and communication efficiency deteriorates in low-bandwidth conditions
Solution Approach 1:
The system dynamically adjusts the data transmission strategy based on real-time network conditions. When network bandwidth is sufficient, detailed telemetry data is transmitted continuously for high monitoring precision. When bandwidth is limited, the system reduces data transmission frequency or detail level to maintain communication efficiency, thus resolving the contradiction between monitoring precision and communication efficiency across varying operational conditions
Solution Approach 2:
The system changes transmission parameters (data detail level, transmission frequency) based on network conditions. This allows the system to optimize the balance between monitoring precision and communication efficiency by adapting data transmission characteristics to current bandwidth availability, rather than using a fixed transmission strategy
2Reliability
If comprehensive vehicle data is collected and transmitted, then operational safety and monitoring accuracy are improved, but data transmission time and network resource consumption increase
Solution Approach 1:
The system extracts and transmits only the most critical safety-related data elements when network conditions are poor, rather than transmitting all available vehicle data. This selective extraction maintains operational safety monitoring while reducing data transmission time and network resource consumption during constrained conditions
Solution Approach 2:
The system transmits a partial set of telemetry data (only essential safety-critical parameters) when network bandwidth is limited, rather than transmitting the complete data set. This partial action approach ensures operational safety is maintained with sufficient information while minimizing data transmission time and network resource usage
3Speed
If high-frequency telemetry data transmission is implemented, then real-time monitoring capability is improved, but network bandwidth requirements increase and system complexity increases
Solution Approach 1:
The system dynamically adjusts telemetry data transmission frequency based on network conditions and vehicle operational state. During normal operation with sufficient bandwidth, high-frequency transmission maintains real-time monitoring capability. When bandwidth is constrained, the system reduces transmission frequency while prioritizing critical safety data, thus maintaining effective monitoring without requiring consistently high bandwidth or complex transmission infrastructure
Data Source
AI summary
An autonomous vehicle receives sensor data from one or more sensors of the autonomous vehicle, and generates a request for remote control of the autonomous vehicle by a computer system remote from the autonomous vehicle. Generating the request includes determining a quality metric associated with a network connection between the autonomous vehicle and the computer system, and upon determining that the quality metric is greater than a threshold quality level, transmitting, from the autonomous vehicle to the computer system the request for remote control and a first data item representing the sensor data. The first data item meets one or more conditions associated with the threshold quality level.