Autonomous Vehicle Teleoperation With Adaptive Data Transmission
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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 connectivity, which affects the accuracy and reliability of vehicle monitoring and control, especially in areas with poor network conditions.
Innovation Solution
A computer system dynamically adjusts the type and quality of data transmitted between itself and autonomous vehicles based on network connection quality, sending detailed data in high-bandwidth conditions and less detailed data in low-bandwidth conditions, ensuring timely and reliable communication for safe and efficient operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed data is transmitted continuously for accurate vehicle monitoring, then measurement precision is improved, but loss of information increases due to network bandwidth limitations in poor connectivity areas
Solution Approach 1:
The system dynamically adjusts data transmission quality and frequency based on real-time network connection assessment. When network conditions are poor, the system reduces data detail level and transmission frequency to maintain continuous communication. When network conditions improve, the system increases data quality and frequency, thereby resolving the contradiction between monitoring accuracy and information loss.
Solution Approach 2:
The system changes data transmission parameters (such as data detail level, resolution, and frequency) based on network conditions. By adjusting these parameters dynamically, the system ensures that critical information is always transmitted while optimizing bandwidth usage, thus preventing information loss while maintaining monitoring precision.
2Reliability
If high-quality data transmission is maintained for reliable control, then reliability is improved, but loss of time increases due to larger data sizes in low-bandwidth conditions
Solution Approach 1:
The system dynamically adjusts data transmission quality based on real-time network conditions. In low-bandwidth situations, it transmits only essential control data with reduced detail, decreasing data size and transmission time while maintaining sufficient control reliability. This dynamic adaptation resolves the contradiction between reliability and time loss.
Solution Approach 2:
The system transmits only the necessary portion of data required for reliable control, rather than transmitting complete high-quality data. By sending partial data (only critical control information) when bandwidth is limited, the system reduces transmission time while maintaining the reliability needed for safe vehicle operation.
3Measurement precision
If continuous monitoring is performed with high data quality, then measurement precision is improved, but use of energy increases due to constant high-bandwidth communication
Solution Approach 1:
The system dynamically adjusts monitoring data quality and transmission frequency based on network conditions and vehicle operational state. When network bandwidth is limited or energy is constrained, the system reduces data quality and frequency while maintaining essential monitoring capabilities. This dynamic adjustment resolves the contradiction between measurement precision and energy consumption.
Solution Approach 2:
The system changes communication parameters (data resolution, sampling frequency, transmission interval) based on current conditions. By adjusting these parameters, the system maintains adequate monitoring accuracy while significantly reducing energy consumption during low-bandwidth or energy-constrained periods.
Data Source
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AI summary
A computer system can control the operation of one or more autonomous vehicles. For example, a computer system can deploy autonomous vehicles to one or more locations or regions, assign transportation tasks to each of the autonomous vehicles, provide navigation instructions to each of the autonomous vehicles, assign maintenance tasks to each of the autonomous vehicles, and/or assign other tasks to each of the autonomous vehicles. Further, a computer system can be used the monitor the operation of autonomous vehicles. For example, a computer system can collect information from each of the autonomous vehicles, process the collected information, and present the information to one or more users such that the users can keep informed regarding the operation of the autonomous vehicles.