Vehicle Object Detection Cluster Computing for High Frame Rates
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Solution Overview
Problem
Existing vehicle safety systems struggle to dynamically adjust safety device activation based on both vehicle and passenger conditions due to insufficient frame rates in image data processing during emergencies.
Innovation Solution
A vehicle system utilizing cluster computing technology to switch multiple computing nodes to a cluster mode for enhanced image data processing, ensuring rapid object detection and maintaining frame order integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single computing node processes image data, then device complexity is low, but frame rate is insufficient for emergency safety activation
Solution Approach 1:
The computing system is divided into multiple computing nodes that can operate independently or in cluster mode. Each node processes image data from the image sensor, allowing parallel processing that increases frame rate while maintaining manageable complexity through modular architecture
Solution Approach 2:
The system dynamically switches between single-node mode and multi-node cluster mode based on operational requirements. During normal operation, a single node processes images to maintain simplicity, while during emergency situations, multiple nodes are activated to maximize frame rate for timely safety activation
2Productivity
If multiple computing nodes process image data in parallel, then frame rate increases, but transmission order between frames may be reversed
Solution Approach 1:
A time stamp is generated for the first frame before distribution to multiple computing nodes. This preliminary timing reference ensures that all nodes process and transmit frames in the correct chronological order, preventing transmission order reversal while maintaining parallel processing benefits
Solution Approach 2:
The system incorporates feedback mechanisms where computing nodes report processing status and frame completion to a central coordinator. This feedback loop allows the system to monitor and adjust frame transmission timing to maintain correct sequence while operating at high frame rates
3Loss of time
If image processing frame rate is increased dynamically, then safety activation timeliness improves, but energy consumption increases
Solution Approach 1:
The system periodically monitors emergency conditions and activates additional computing nodes only when needed. During normal operation, a single node maintains low energy consumption, while multiple nodes are activated periodically or immediately when emergency conditions are detected, optimizing the balance between response time and energy usage
Data Source
AI summary
In a device for and a method of detecting an object and a vehicle system including the same, the device for detecting an object includes a processor, and a storage medium storing instructions executable by the processor. The processor is configured, by executing the instructions, to switch a plurality of computing nodes to a cluster mode, transmit image data from an image sensor to the plurality of computing nodes, generate a time stamp for a first frame included in the image data by one of the plurality of computing nodes, process the image data based on the time stamp by the plurality of computing nodes, and detect the object from the image data based on processing results of the plurality of computing nodes.