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Autonomous Vision Based Detection of Non-stellar Objects Flying in Formation with Camera Point of View

机译：基于摄像机视角的非恒星物体飞行自主视觉检测

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Benn Mathias; Jørgensen John Leif;
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年度 2013
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原文格式 PDF
正文语种 eng
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1. Autonomous vision-based detection of non-stellar objects flying in formation with camera point of view [J] . M. Benn, J.L. Jorgensen International Journal of Space Science and Engineering . 2014,第1期

机译：基于摄像机的视角基于视觉的自主探测非编队飞行的编队
2. A machine learning based intelligent vision system for autonomous object detection and recognition [J] . Dominik Maximilián Ramík, Christophe Sabourin, Ramon Moreno, Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies . 2014,第2期

机译：基于机器学习的智能视觉系统，用于自主目标的检测和识别
3. Vision-based object detection and tracking for autonomous navigation of underwater robots [J] . Donghwa Lee, Gonyop Kim, Donghoon Kim, Ocean Engineering . 2012,第Jula期

机译：基于视觉的目标检测和跟踪，用于水下机器人的自主导航
4. Spatial and Temporal Context Information Fusion Based Flying Objects Detection for Autonomous Sense and Avoid [C] . Zhouyu Zhang, Yunfeng Cao, Meng Ding, International Conference on Unmanned Aircraft Systems . 2018

机译：基于时空上下文信息融合的自主感知回避飞行目标检测
5. Vision-based Autonomous Object Tracking for Hexapod Using an Actuated Camera [D] . Ahmad, Shahriar. 2018

机译：使用致动摄像头的六角形的基于视觉的自主对象跟踪
6. Sky Monitoring System for Flying Object Detection Using 4K Resolution Camera [O] . Takehiro Kashiyama, Hideaki Sobue, Yoshihide Sekimoto 2020

机译：使用4K分辨率相机飞行对象检测的天空监测系统
7. FuseMODNet: Real-Time Camera and LiDAR Based Moving Object Detection for Robust Low-Light Autonomous Driving [O] . Hazem Rashed, Mohamed Ramzy, Victor Vaquero, 2019

机译：Fusemodnet：基于实时摄像机和LIDAR的移动对象检测，用于强大的低光自动驾驶
8. Development of High-Resolution Acoustic Camera Based Real-Time Object Recognition System by Using Autonomous Underwater Vehicles [R] . Yu, S., Kim, T., Asada, A., 2006

机译：基于自主水下航行器的高分辨率声学相机实时目标识别系统的研制

Autonomous Vision Based Detection of Non-stellar Objects Flying in Formation with Camera Point of View

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