Mobile Image Processing for Vehicle Object Detection Bottlenecks
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Solution Overview
Problem
Vehicles with limited computing resources struggle to perform advanced functions like autonomous driving and external object detection in real time due to insufficient processing capabilities.
Innovation Solution
A vehicle system that utilizes external mobile computing devices for image processing, where imaging devices capture images and transmit them to mobile computing devices for processing, allowing the vehicle to allocate tasks based on available computing resources and receive processed data for enhanced functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If vehicles use onboard computing resources for image processing, then processing speed is improved, but device complexity and cost increase
Solution Approach 1:
The patent introduces mobile computing devices (smartphones, tablets) as intermediary computing resources. These external devices communicate with the vehicle's imaging devices and processing systems, providing additional computational power without being permanently installed in the vehicle. The mobile devices act as a bridge between the vehicle's limited onboard resources and the high processing demands of advanced functions like autonomous driving and object detection.
2Productivity
If vehicles use onboard computing resources for image processing, then real-time processing is improved, but available computing resources are insufficient
Solution Approach 1:
The patent makes computing resources universal by allowing mobile computing devices to serve multiple purposes. These devices can be used for image processing in vehicles, but also serve the user's personal computing needs independently. The system can dynamically allocate tasks between the vehicle's onboard processors and the mobile device's processors based on available resources and task requirements, enabling real-time processing without requiring dedicated high-performance onboard hardware.
Data Source
AI summary
The system described herein includes a vehicle comprising one or more imaging devices configured to capture one or more images, and a first mobile computing device communicatively coupled to the vehicle. The first mobile computing device includes one or more processors; one or more memory modules; and machine readable and executable instructions that, when executed by the one or more processors, cause the first mobile computing device to: receive the one or more images including an external object from the vehicle; process the image to determine an identification of the external object; and transmit information about the identification of the external object to a remote server or the vehicle.