FREE-AIR DETECTION USING A MONOCULAR CAMERA AND DEEP LEARNING

• 1. 具有通过使用自组装单分子膜进行后期键合而形成的部件的电子器件 [P] . 中国专利： CN108695163A . 2018-10-23
• 2. 使用纳米孔进行单分子检测的系统和方法 [P] . 中国专利： CN103380369B . 2016.12.28
• 3. DETECTION OF FREE SPACE USING MONOCULAR CAMERA AND DEEP LEARNING [P] . 俄罗斯专利： RU2018106485A . 2019-08-21

  机译： 使用单分子相机和深度学习检测自由空间

• 4. Free space detection using monocular camera and deep learning [P] . 英国专利： GB2561448A . 2018-10-17

  机译： 使用单眼相机和深度学习进行自由空间检测

• 5. Free space detection using monocular camera and deep learning [P] . 英国专利： GB201802777D0 . 2018-04-04

  机译： 使用单眼相机和深度学习进行自由空间检测

• 1. Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity:A Survey [J] . Jun Zhang, Lei Pan, Qing-Long Han, 自动化学报：英文版 . 2022,第003期
• 2. Review of Anomaly Detection Systems in Industrial Control Systems Using Deep Feature Learning Approach [J] . Raogo Kabore, Adlès Kouassi, Rodrigue N’goran, 工程（英文）（1947-3931） . 2021,第001期
• 3. Towards Collaborative Robotics in Top View Surveillance:A Framework for Multiple Object Tracking by Detection Using Deep Learning [J] . Imran Ahmed, Sadia Din, Gwanggil Jeon, 自动化学报：英文版 . 2021,第007期
• 4. Blending of Learning-based Tracking and Object Detection for Monocular Camera-based Target Following [J] . Pranoy Panda, Martin Barczyk IFAC PapersOnLine . 2021,第9期
• 5. Deep learning-based strategies for the detection and tracking of drones using several cameras [J] . Eren Unlu, Emmanuel Zenou, Nicolas Riviere, IPSJ Transactions on Computer Vision and Applications . 2019,第1期
• 6. Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities [J] . Gene-Mola Jordi, Vilaplana Veronica, Rosell-Polo Joan R., Computers and Electronics in Agriculture . 2019,第期
• 7. Have i reached the intersection: A deep learning-based approach for intersection detection from monocular cameras [C] . Dhaivat Bhatt, Danish Sodhi, Arghya Pal, IEEE/RSJ International Conference on Intelligent Robots and Systems . 2017
• 8. Internal and External Feature Engineering Applied to Deep Learning with Convolutional Neural Networks for Monocular Relative Pose Estimation in Visual Odometry and Self-Localization [D] . Parkins, Franz Payton. 2020
• 9. Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Features from Local and Global Regions Based on NIR Camera Sensor [O] . Dat Tien Nguyen, Tuyen Danh Pham, Young Won Lee, 2018
• 10. Feature Based Techniques for a Driver's Distraction Detection using Supervised Learning Algorithms based on Fixed Monocular Video Camera [O] . 2018

• 1. Bags of tricks for learning depth and camera motion from monocular videos [J] . Bowen DONG ,Lu SHENG . 虚拟现实与智能硬件(中英文) . 2019,第5期
• 2. A review of the research and application of deep learning-based computer vision in structural damage detection [J] . Zhang Lingxin ,Shen Junkai ,Zhu Baijie . 地震工程与工程振动:英文版 . 2022,第1期
• 3. 用双光子激发荧光进行单分子探测的实验研究 [C] . 马万云 . 第九届全国原子与分子物理学术会议 . 1998
• 4. 使用Plant Village进行深度学习和特征提取的植物病害检测 [A] . MOHAMETH FAYE . 2020