Context-Based Bandwidth Switching for Autonomous Vehicle Sensors
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Solution Overview
Problem
Autonomous vehicles face suboptimal operation due to changes in computing device and network capabilities, leading to inefficiencies in processing and transmitting sensor data, which can impact safety and accuracy in determining vehicle trajectories.
Innovation Solution
Implementing context-based bandwidth switching by sensors to adapt data formats and destinations based on the capability status of computing devices and networks, optimizing data processing and transmission to ensure safe and accurate vehicle control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors transmit high-resolution sensor data to computing devices, then measurement precision is improved, but network bandwidth consumption increases and processing time increases
Solution Approach 1:
The sensor system dynamically adjusts data transmission based on real-time context assessment. When computing devices are under high load or network bandwidth is limited, the system reduces data transmission resolution or frequency. When resources are abundant, it transmits higher quality data, creating a dynamic adaptation to current system capabilities.
Solution Approach 2:
The system changes data parameters (resolution, format, compression level) based on the assessed capability status of computing devices and network conditions. This allows the same sensor to output different data characteristics optimized for current resource availability while maintaining essential measurement quality.
2Reliability
If sensors transmit comprehensive sensor data to primary computing device, then reliability is improved, but network congestion increases and processing time increases
Solution Approach 1:
The sensor system extracts and transmits only the most critical sensor data to the primary computing device, separating essential information from less important data. This ensures the primary device receives sufficient information for safe vehicle control while minimizing network congestion and processing overhead.
Solution Approach 2:
A secondary computing device acts as an intermediary, receiving comprehensive sensor data for validation and backup processing. This allows the primary device to operate with reduced data loads while maintaining reliability through the secondary device's ability to take over if needed.
3Adaptability or versatility
If sensors process and format data locally based on context, then adaptability is improved, but device complexity increases
Solution Approach 1:
The sensor system performs preliminary data processing and context assessment before transmission. By evaluating computing device capability status and network conditions in advance, the sensor can pre-format data appropriately, reducing the need for complex real-time adjustments downstream.
Solution Approach 2:
The sensor system autonomously assesses context and makes intelligent decisions about data formatting and transmission without requiring complex external control systems. This self-service capability provides adaptability while keeping the overall system architecture relatively simple.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces computational resources, power consumption, and network congestion while maintaining or improving the accuracy of data processing and trajectory determination, enhancing safety outcomes for autonomous vehicles.
Implementation Method 1
capturing first sensor data associated with a first format using a time of flight sensor on a vehicle
Data Source
AI summary
A vehicle can include various components such as sensors and computing devices, as well as a network to couple the sensors and computing devices. A capability status can indicate an error with a computing device, available computational resources of a computing device, and/or an available bandwidth among others. Sensor data can be manipulated, based on the capability status, into various formats and/or sent to various destinations.