Autonomous Vehicle Teleoperation With Adaptive Telemetry Scaling
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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 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 amount of data transmitted between itself and autonomous vehicles based on the network connection's quality, sending more detailed information during good connections and less detailed information during poor connections to ensure timely and reliable operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed vehicle telemetry data is transmitted continuously, then monitoring precision and control accuracy are improved, but network bandwidth consumption increases and communication reliability deteriorates in poor connectivity areas
Solution Approach 1:
The system dynamically adjusts the data transmission strategy based on real-time network quality conditions. When network quality is good, detailed telemetry data is transmitted at high frequency. When network quality deteriorates, the system reduces data transmission frequency and detail level, ensuring continuous communication without overwhelming the network infrastructure.
Solution Approach 2:
The system changes key parameters of data transmission including sampling frequency, data resolution, and transmission interval based on network quality metrics. This allows the system to maintain monitoring precision within available bandwidth constraints by adjusting what constitutes 'detailed' data under different network conditions.
2Speed
If high-frequency telemetry data is transmitted, then real-time monitoring capability is improved, but data loss occurs in areas with poor network connectivity
Solution Approach 1:
The system performs preliminary assessment of network quality before initiating data transmission. Based on this assessment, it pre-configures the appropriate data sampling rate and transmission frequency. This prevents data loss by ensuring that transmission attempts are made at rates the network can actually support, rather than attempting high-frequency transmission that would fail in poor connectivity areas.
Solution Approach 2:
The system continuously monitors transmission outcomes and network quality metrics, using this feedback to adjust future transmission strategies. When data loss is detected or network quality deteriorates, the system responds by reducing transmission frequency and prioritizing critical data, thereby minimizing information loss adaptively.
3Reliability
If comprehensive vehicle data is collected and transmitted, then operational safety is improved, but network resource consumption increases
Solution Approach 1:
The system applies different data collection and transmission qualities to different types of vehicle data based on their criticality to safety. Critical safety-related data (braking, collision avoidance) is transmitted with high fidelity and frequency, while less critical data (comfort features, non-essential sensor readings) is transmitted at lower quality or aggregated, optimizing the balance between safety monitoring and network resource usage.
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.