Sensor Data Distribution Architecture for Scalable Vehicle Computing
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Solution Overview
Problem
The increasing complexity and volume of sensor data in autonomous driving systems pose challenges in efficiently configuring vehicle-mounted computing platforms, as existing technologies struggle to effectively distribute and process sensor data from a growing number of sensors.
Innovation Solution
A data distribution device with multiple interfaces and a data transmission unit is introduced, allowing for selective provision of sensor data to computing units based on predetermined conditions, enabling scalability and flexibility in data processing by cascading distribution devices and configuring different units for various sensor data types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sensor data is distributed to multiple computing units, then processing efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments sensor data into different types (e.g., first sensor data, second sensor data) and distributes them to different computing units. The data distribution device includes multiple interfaces (first interface, second interface, third interface) that separately handle different data streams, dividing the complex data processing task into manageable segments that can be processed in parallel.
Solution Approach 2:
The data distribution device acts as an intermediary between the sensor system and multiple computing units. It receives sensor data through the first interface, processes and distributes it to appropriate computing units through the second and third interfaces, thereby mediating the complex interaction between sensors and computing units and simplifying the overall system architecture.
2Productivity
If the number of computing units is increased, then data processing capacity is improved, but system scalability becomes more difficult
Solution Approach 1:
The data distribution device is designed with universal functionality to support multiple computing units and different data types through standardized interfaces. The second interface can output to any computing unit, and the third interface can communicate with any computing unit, allowing the system to scale by simply adding more computing units without changing the fundamental architecture.
Solution Approach 2:
The system allows dynamic configuration where different computing units can be assigned to process different sensor data types based on requirements. The data distribution device can dynamically route first sensor data through the second interface to one computing unit and second sensor data through the third interface to another computing unit, enabling flexible scaling.
3Device complexity
If all sensor data is processed by a single computing unit, then system complexity is reduced, but processing efficiency decreases
Solution Approach 1:
The patent segments sensor data into different categories (first sensor data and second sensor data) and assigns them to different computing units for parallel processing. This segmentation maintains relatively simple individual computing units while achieving high overall processing efficiency through distributed computation.
Data Source
AI summary
The present disclosure provides a data distribution device, a computing system and a data distribution method. The data distribution device comprises: a plurality of interfaces at least comprising a first interface, a second interface and a third interface, wherein the first interface is configured for receiving first data comprising sensor data, the second interface is configured for outputting the first data, and the third interface is configured for communicating with a first computing unit; and a data transmission unit configured for providing the sensor data from the first interface to the second interface and providing a subset of the sensor data meeting a predetermined condition to the third interface. According to the above technical solution, efficiency and flexibility of data processing can be improved by utilizing the plurality of interfaces and the data transmission unit of the data distribution device.