Results 1 to 10 of about 98,529 (315)
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios [PDF]
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021 Object detection on drone-captured scenarios is a recent popular task. As drones always navigate in different altitudes, the object scale varies violently, which burdens the optimization of networks.
Xingkui Zhu +3 more
semanticscholar +1 more source
Autonomous Drone Racing: A Survey [PDF]
IEEE Transactions on robotics, 2023 Over the last decade, the use of autonomous drone systems for surveying, search and rescue, or last-mile delivery has increased exponentially. With the rise of these applications comes the need for highly robust, safety-critical algorithms that can ...
D. Hanover +8 more
semanticscholar +1 more source
Dogfight: Detecting Drones from Drones Videos [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 10 pages, 10 figures, Accepted for CVPR ...
Muhammad Waseem Ashraf +2 more
openaire +2 more sources
Champion-level drone racing using deep reinforcement learning
Nature, 2023 An autonomous system is described that combines deep reinforcement learning with onboard sensors collecting data from the physical world, enabling it to fly faster than human world champion drone pilots around a race track.
Elia Kaufmann +5 more
semanticscholar +1 more source
Drone-YOLO: An Efficient Neural Network Method for Target Detection in Drone Images
Drones, 2023 Object detection in unmanned aerial vehicle (UAV) imagery is a meaningful foundation in various research domains. However, UAV imagery poses unique challenges, including large image sizes, small sizes detection objects, dense distribution, overlapping ...
Zhengxin Zhang
semanticscholar +1 more source
University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization [PDF]
ACM Multimedia, 2020 We consider the problem of cross-view geo-localization. The primary challenge is to learn the robust feature against large viewpoint changes. Existing benchmarks can help, but are limited in the number of viewpoints.
Zhedong Zheng, Yunchao Wei, Yi Yang
semanticscholar +1 more source
Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning [PDF]
IEEE transactions on circuits and systems for video technology (Print), 2020 Drone-based vehicle detection aims at detecting vehicle locations and categories in aerial images. It empowers smart city traffic management and disaster relief. Researchers have made a great deal of effort in this area and achieved considerable progress.
Yiming Sun, Bing Cao, Pengfei Zhu, Q. Hu
semanticscholar +1 more source
Fully neuromorphic vision and control for autonomous drone flight [PDF]
Science Robotics, 2023 Biological sensing and processing is asynchronous and sparse, leading to low-latency and energy-efficient perception and action. In robotics, neuromorphic hardware for event-based vision and spiking neural networks promises to exhibit similar ...
F. Paredes-Vallés +5 more
semanticscholar +1 more source
Circular Formation Guidance of Fixed-Wing UAVs Using Mesh Network
IEEE Access, 2022 This paper presents the guidance algorithm for the circular formation flight of multiple fixed-wing UAVs. The formation guidance law aims at reducing both the radial and the phase angle error with respect to the moving reference point located at a fixed ...
Suhyeon Kim, Hyeongjun Cho, Dongwon Jung
doaj +1 more source
Visual Analysis of Spatiotemporal Data Predictions with Deep Learning Models
Applied Sciences, 2021 The output of a deep-learning model delivers different predictions depending on the input of the deep learning model. In particular, the input characteristics might affect the output of a deep learning model.
Hyesook Son +5 more
doaj +1 more source