Forewarned is forearmed.

Most people assume object tracking for autonomous flight is very complex, but it doesn’t have to be that way. All you need is ...

The protection dog specialists at DARKDYNASTYK9S document a trained dog demonstrating underwater object detection and retrieval abilities. Trump hit with grim reality check on Americans’ pay ...

This content was written and submitted by the supplier. It has only been modified to comply with this publication’s space and style. Sesotec continues to drive forward the integration of artificial ...

Abstract: Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown ...

A new depth sensor claims to address the limitations of standard indirect Time-of-Flight (iToF) sensors by enabling depth sensing up to 30 meters, or four times more than standard iToF sensors, all ...

Abstract: Visible-thermal small object detection (RGBT SOD) is a significant yet challenging task with a wide range of applications, including video surveillance, traffic monitoring, search and rescue ...

We implemented Panopticus using Python and CUDA for GPU-based acceleration. All neural networks were developed using PyTorch [41] and trained on the training set in the nuScenes dataset [2]. Note that ...

Oriented object detection in remote sensing imagery has emerged as a critical field of study, addressing the challenge of recognising and localising objects that appear at arbitrary angles in aerial ...

A group of researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have proposed SCNet3D, a new 3D object detection system, to better identify surrounding objects.