Vehicle Sensor Data Prioritization for Real-Time Driving Events
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Solution Overview
Problem
The increasing volume of vehicle data processed in real-time poses a challenge, as simultaneous processing can lead to processor overload and inefficiency, particularly in autonomous vehicles where prioritization of data is crucial for timely responses to driving events.
Innovation Solution
A vehicle data processing system that includes sensors, a controller, and a communication interface, capable of analyzing data streams to determine the current operation status of a vehicle and prioritize processing based on factors such as driving events, location, and immediate needs, ensuring that critical data is processed swiftly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a large amount of vehicle data is processed substantially simultaneously, then the processor may return results, but the processor becomes overloaded resulting in inefficiency and delay
Solution Approach 1:
The patent segments the continuous stream of vehicle data into discrete data packets or chunks that can be processed individually. The processor divides the large volume of sensor data into manageable units, allowing for efficient batch processing and preventing overload while maintaining throughput.
Solution Approach 2:
The patent implements dynamic processing where the processor adjusts its operation based on real-time conditions. The system dynamically prioritizes data processing based on the vehicle's current operational status, sensor types, and environmental factors, allowing critical data to be processed immediately while less critical data is handled during lower-load periods.
2Reliability
If vehicle data is processed without prioritization, then all data is handled uniformly, but critical driving events may not receive timely processing
Solution Approach 1:
The patent applies preliminary action by pre-establishing priority rules and classification criteria for different types of vehicle data. Before processing begins, the system has predefined priorities for various sensors and driving events, allowing immediate classification and routing of incoming data without complex real-time decision-making.
Solution Approach 2:
The patent introduces an intermediary layer between data collection and processing - a priority management module that acts as a mediator. This intermediary component classifies incoming data based on pre-established criteria and routes it to appropriate processing queues, simplifying the overall system architecture while ensuring critical events receive timely attention.
3Productivity
If all sensor data is processed at the same rate, then processing is simple, but the volume of data to be processed increases processing time and cost
Solution Approach 1:
The patent applies local quality by treating different portions of the data stream differently based on their specific characteristics. Critical sensor data (e.g., from collision detection sensors) receives high-priority processing with dedicated resources, while non-critical data (e.g., from ambient temperature sensors) is processed during lower-priority periods or with fewer resources.
Solution Approach 2:
The patent changes processing parameters dynamically based on data characteristics. The system adjusts processing speed, resource allocation, and queue priority based on the type of sensor data, the vehicle's operational state, and environmental conditions, allowing efficient handling of varying data volumes without uniform processing overhead.
Data Source
AI summary
A vehicle data processing system includes a group of sensors and a controller. The group of sensors is arranged on board a vehicle and operable to detect and capture driving event. The controller is coupled to the group of sensors and operable to receive one or more data streams indicative of the driving event data from the group of sensors. The controller is further operable to (i) analyze the one or more data streams, (ii) determine a current operation status of a vehicle based on the one or more data streams, (iii) determine whether or not the current operation status of the vehicle triggers prioritized processing of the one or more data streams, and (iv) upon determination that the prioritized processing is triggered, apply the prioritized processing.