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Quadcopter bám theo vật thể dựa trên mô hình xử lý ảnh deep learning

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Ngày đăng: 27/01/2021, 12:48

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Tiêu đề: Convolutional Neural Network-Based Real-Time Object Detection and Tracking for Parrot AR Drone 2
Tác giả: Ali Rohan, Mohammed Rabah, Sung-ho Kim
Năm: 2019
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Tiêu đề: Ground object recognition and segmentationfrom aerial image-based 3D point cloud
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Năm: 2019
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Tiêu đề: Deep-Learning Based Real-Time Multiple-Object Detection and Tracking from Aerial Imagery via Flying Robot with GPU-based Embedded Devices
Tác giả: Sabir Hossain and Deok-jin Lee
Năm: 2019
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Tác giả: Anjan Chakrabarty and Robert Morris
Năm: 2016
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Tiêu đề: Real-Time Object Tracking on a Drone With Multi-Intertial Sensing Data
Tác giả: Peng Chen, Yuanjie Dang, Ronghua Liang, Wei Zhu and Xiaofei He
Năm: 2018
[9] Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee (2019), “YOLACT Real-time Instance Segmentation”, arXiv:1904.02689v2, pp. 1-9. Link:https://www.researchgate.net/, date access: 30-01-2020 Sách, tạp chí
Tiêu đề: YOLACT Real-time Instance Segmentation
Tác giả: Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee
Năm: 2019
[10] Cheng-Yang Fu, Mykhailo Shvets, and Alexander C Berg (2019), "Retinamask: Learning to predict masks improves state-of-the-art single- shot detection for free", arXiv:1901.03353, pp. 1-9. Link:https://www.researchgate.net/, date access: 30-01-2020 Sách, tạp chí
Tiêu đề: Retinamask: Learning to predict masks improves state-of-the-art single-shot detection for free
Tác giả: Cheng-Yang Fu, Mykhailo Shvets, and Alexander C Berg
Năm: 2019
[11] Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, and Jiaya Jia (2018), "Icnet for real-time semantic segmentation on high-resolution images", In ECCV. Link: https://ieeexplore.ieee.org/Xplore/home.jsp,date access: 10-02-2020 Sách, tạp chí
Tiêu đề: Icnet for real-time semantic segmentation on high-resolution images
Tác giả: Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, and Jiaya Jia
Năm: 2018
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Tiêu đề: Advances in Unmanned Aerial Vehicles
Tác giả: Kimon P.Valavanis
Năm: 2007
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[2] Ramiro Ibarra Pérez (2017), Attitude Control of a Quadcopter Using Adaptive Control Technique, UAM Reynosa Rodhe, Autonomous University of Tamaulipas, Tamaulipas, México, pp. 4-11. Link:https://ieeexplore.ieee.org/Xplore/home.jsp, date access: 20-01-2020 Link
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