ABSTRACT: Road surface defects such as potholes and cracks pose significant risks to traffic safety and vehicle integrity. Traditional inspection methods, including manual surveys and citizen reports, ...

Abstract: Traditional real-time object detection networks deployed in autonomous aerial vehicles (AAVs) struggle to extract features from small objects in complex backgrounds with occlusions and ...

requirements.txt: Lists the external libraries and dependencies required for the project. server/: Contains scripts for deploying the model to Triton Inference Server. local/: Scripts for running the ...

Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...

Maxar Intelligence, the leading provider of secure, precise geospatial insights, announced today that it was awarded Delivery Order 01 under the Luno A program by the National Geospatial-Intelligence ...

Debugging can truly get on your nerves at times. But that’s part of our job—sometimes more than actual coding itself. Imagine writing a prime number checker, only to find out it’s identifying ...

Underwater object detection plays a significant role in fisheries resource assessment and ecological environment protection. However, traditional underwater object detection methods struggle to ...

Abstract: Traditional object detection models often lose the detailed outline information of the object. To address this problem, we propose the Fourier Series Object Detection (FSD). It encodes the ...