YOLO Autonomous Drone - Deep Learning Person Detection: The YOLO Drone localizes and follows people with the help of the YOLO Deep Network machine-learningdeep-learningdronekerasyoloautonomousactuatorsar-droneyolo-network UpdatedSep 13, 2016
Geospatial Object Detection using Aerial Images machine-learningdeep-learningtensorflowkerasconvolutional-neural-networkssatellite-imagerysemantic-segmentationunet-image-segmentationdrone-images UpdatedJan 11, 2024 Jupyter Notebook Mapping species in Neukalen, Germany from 2020 to 2022 using Python based on Rando...
3.1. Deep Learning-Based Object Detection Method Aerial imaging using UAVs is employed for a variety of reasons, including entertainment, recognition and identification investigations, environmental monitoring, and other interesting ones. Unlike aircraft, UAVs are now accessible to end consumers searching ...
This paper reports the results of the 5th edition of the “Drone-vs-Bird” detection challenge, organized within the 21st International Conference on Image Analysis and Processing (ICIAP). By taking as input video samples recorded by common cameras, the.
flight time. We fine-tune the policy by identifying residual observations and residual dynamics, which are then used for training in simulation. During this fine-tuning phase, only the weights of the control policy are updated, whereas the weights of the gate-detection network are kept constant....
The following research topics are not in the scope of this paper: UAV sensor module development and sensor anomaly detection. We assume a sensor module attaches underneath the drone: for example, to a gimbal or using a mounting bracket. The gimbal provides geometric stability for the sensors. ...
Drone Based System for Plant Monitoring and Data Collection using Computer Vision. (Yolov4, DeepSORT, OpenCV) machine-learning deep-neural-networks computer-vision drone object-detection object-tracking agriculture-research tellodrone yolov4 Updated Dec 8, 2021 Jupyter Notebook johnwalicki / Node-...
TITLE=”Audio Based Drone Detection and Identification using Deep Learning”, BOOKTITLE=”IWCMC 2019 Vehicular Symposium (IWCMC-VehicularCom 2019)”, ADDRESS=”Tangier, Morocco”, DAYS=23, MONTH=jun, YEAR=2019, }
Human Detection Multispectral Object Detection object-detection Object Detection Semantic Segmentation Datasets Edit Introduced in the Paper: NII-CU MAPD Okutama Drone and Swiss Drone Dataset Results from the Paper Edit Ranked #1 on Object Detection on NII-CU MAPD Get a GitHub badge Task...
The CRAB-YOLO network integrates three improvements for detection accuracy, hermit crab characteristics, and computational efficiency, achieving state-of-the-art (SOTA) performance compared to other mainstream detection models. The RDN networks demonstrated the best image reconstruction performance, and CRAB...