Data accessibility Al-Sa'd, Mohammad; Allahham, Mhd Saria; Mohamed, Amr; Al-Ali, Abdulla; Khattab, Tamer; Erbad, Aiman (2019), “DroneRF dataset: A dataset of drones for RF-based detection, classification, and identification”, Mendeley Datasets, v1 https://doi.org/10.17632/f4c2b4n755...
To overcome such problems, we developed a human detection rescue system. The system is equipped with drone, sensors and controlling module. The system has PIR sensor, ultrasonic sensor and radio telemetry wave to communicate between android application and drone....
dataset_sample.png Add files via upload Mar 5, 2020 README VisDrone-DroneVehicle Camera-equipped drones can capture targets on the ground from a wider field of view than static cameras or moving sensors over the ground. In this project, we present a large-scale vehicle detection and counting...
dataset_sample.png Add files via upload Mar 5, 2020 README VisDrone-DroneVehicle Camera-equipped drones can capture targets on the ground from a wider field of view than static cameras or moving sensors over the ground. In this project, we present a large-scale vehicle detection and counting...
benchmark, including object detection and object counting. All these tasks are extremely challenging in the proposed dataset due to factors such as illumination, occlusion, and scale variations. We hope the benchmark largely boost the research and development in visual analysis on drone platforms. ...
A Deep-Learning-Based Method for Spectrum Sensing with Multiple Feature Combination Cognitive radio networks enable the detection and opportunistic access to an idle spectrum through spectrum-sensing technologies, thus providing services t... Y Zhang,Z Luo - Electronics (2079-9292) 被引量: 0发表: ...
As a large-scale dataset with both RGB and thermal infrared (RGBT) images, the benchmark enables extensive evaluation and investigation of visual analysis algorithms on the drone platform. In particular, we design two popular tasks with the benchmark, including object detection and object counting...
The quality of the detection was evaluated in particular for grassland sites which were not included in the training to get an estimate for how well the detector works on previously unseen sites. In this case, 88.6% of the flowers in the test dataset were detected, which makes it suitable,...
This toolkit has a large API for fine-grained control over the map or globe. It reads a wide variety of GIS data formats. Cross-Platform ArcGIS Maps SDK for .NET - Build native mapping apps for Android and iOS in C# using .NET Multi-platform App UI (MAUI) supported by Esri. ArcGIS ...
nuScenecs 3D detection challenge 2019 3D model generation nuScenes dataset mAP & TP Generate 3D model of the environment. Using sensor data retrieved from camera, lidar, and radar. Lyft 3D Detection for Autonomous Vehicle 2019 Object detection Lyft Level 5 dataset IoU 3D object detection over sem...