机构

• 沈阳自动化研究所 [2]
• 长春光学精密机械与物... [1]
• 自动化研究所 [1]
• 重庆绿色智能技术研究... [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [3]
• 会议论文 [2]

发表日期

• 2023 [1]
• 2021 [1]
• 2020 [1]
• 2016 [1]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Semantic Policy Network for Zero-Shot Object Goal Visual Navigation 期刊论文  OAI收割 IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 11, 页码: 7655-7662 作者:  Zhao, Qianfan;  Zhang, Lu;  He, Bin;  Liu, Zhiyong   |  收藏  |  浏览/下载：27/0  |  提交时间：2023/12/21 Deep learning  path planning  reinforcement learning  vision-based navigation   STA-VPR: Spatio-Temporal Alignment for Visual Place Recognition 期刊论文  OAI收割 IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 3, 页码: 4297-4304 作者:  Lu, Feng;  Chen, Baifan;  Zhou, Xiang-Dong;  Song, Dezhen   |  收藏  |  浏览/下载：26/0  |  提交时间：2021/06/01 Deep learning for visual perception  localization  vision-based navigation   Development of an autonomous object transfer system by an unmanned aerial vehicle based on binocular vision 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 卷号: 17, 期号: 1, 页码: 1-17 作者:  Liu X(刘旭);  Chen B(陈博);  He YQ(何玉庆);  Li DC(李德才)   |  收藏  |  浏览/下载：44/0  |  提交时间：2020/03/22 Unmanned aircraft system  vision-based perception  navigation and control  autonomous task   A robust real-time vision based GPS-denied navigation system of UAV 会议论文  OAI收割 6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016, Chengdu, China, June 19-22, 2016 作者:  Yang LY(杨丽英);  Xiao B(肖斌);  Zhou Y(周宇);  He YQ(何玉庆);  Zhang, Hongzhi 收藏  |  浏览/下载：30/0  |  提交时间：2016/11/06 UAV  Vision-based navigation  Target detection  Position and velocity estimation   Scene matching based on directional keylines and polar transform (EI CONFERENCE) 会议论文  OAI收割 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China 作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 Scene matching under complex background is a priority and difficulty in the field of computer vision  it has the characteristics of rotation and scaling invariance  commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes  anti-light and anti-slight-distortion  the image distortion exist  applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation  such as light  and utilize the rotation-scale-invariance vectors to describe the extracted keylines  change of gray levels  this method includes three steps: keylines extraction  perspective  description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE.  scaling and other differences  which cause matching difficult. This paper aims to find a scene matching algorithm