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

Abstract: Unmanned Aerial Vehicles (UAVs) are becoming essential visual monitoring technologies in various fields including urban planning, environmental monitoring, traffic surveillance, and disaster ...

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 ...

when i run the python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config..... (tf) D:\Anaconda\envs\tf ...

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 ...

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 ...

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 ...