NAVIGATION AID WITH OBSTACLE DETECTION THROUGH LIGHTLINE DEFORMING ON OBJECT STRUCTURES

• 1. 通过一般分层对象进行有效语音导航的结构框架 [P] . 中国专利： CN1151488C . 2004.05.26
• 2. 用于对测试对象上的表面附近的结构进行无损检验的热成像检验装置及方法 [P] . 中国专利： CN107110801B . 2021.02.09
• 3. Ranging aid for helping a driver by detection of obstacles during parking, whereby a laser detection device is angled at an angle of less than 45 degrees to the road so that the vehicle can be moved close to objects [P] . 德国专利： DE10137263A1 . 2003-02-13

  机译： 通过在停车时检测障碍物来帮助驾驶员的测距辅助装置，激光检测装置与道路的倾斜角度小于45度，因此车辆可以靠近物体移动

• 4. Mobile object, obstacle detection method for mobile object, and obstacle detection program for mobile object [P] . 日本专利： JP6405344B2 . 2018-10-17

  机译： 移动物体，移动物体的障碍物检测方法以及移动物体的障碍物检测程序

• 5. Obstacle detection device, moving object, obstacle detection method, and obstacle detection program [P] . 日本专利： JP6418961B2 . 2018-11-07

  机译： 障碍物检测装置，移动体，障碍物检测方法以及障碍物检测程序

• 1. RGBD Salient Object Detection by Structured Low-Rank Matrix Recovery and Laplacian Constraint [J] . Chang Tang, Chunping Hou 天津大学学报（英文版） . 2017,第002期
• 2. An RGB-D Camera Based Visual Positioning System for Assistive Navigation by a Robotic Navigation Aid [J] . He Zhang, Lingqiu Jin, Cang Ye 自动化学报：英文版 . 2021,第008期
• 3. An RGB-D Camera Based Visual Positioning System for Assistive Navigation by a Robotic Navigation Aid [J] . He Zhang, Lingqiu Jin, Cang Ye 自动化学报（英文版） . 2021,第008期
• 4. Object Learning And Detection Using Evolutionary Deformable Models For Mobile Robot Navigation [J] . M, Mata, J, Robotica . 2008,第1期
• 5. A globally converging algorithm for reactive robot navigation among moving and deforming obstacles [J] . Matveev Alexey S., Hoy Michael C., Savkin Andrey V. Automatica . 2015,第Null期
• 6. Real-time navigation of mobile robots in problems of border patrolling and avoiding collisions with moving and deforming obstacles [J] . Alexey S. Matveev, Chao Wang, Andrey V. Savkin Robotics and Autonomous Systems . 2012,第6期
• 7. Detection and recognition of deformable objects using structured dimensionality reduction [C] . Sharon Ran, Hagege Rami R., Francos Joseph M. IEEE International Conference on Acoustics, Speech and Signal Processing . 2015
• 8. Three Dimensional Object Detection Approaches for Indoor Navigation Aid [D] . Zhou, Junxiu. 2019
• 9. DEEP-SEE: Joint Object Detection Tracking and Recognition with Application to Visually Impaired Navigational Assistance [O] . Ruxandra Tapu, Bogdan Mocanu, Titus Zaharia 2017
• 10. Object learning and detection using evolutionary deformable models for mobile robot navigation [O] . Mata Ortega, Mario, Armingol, José María, Fernández Andrés, Javier, 2008

• 1. Filtering algorithm of line structured light for long-distance obstacle detection [J] . 邵海燕 ,张振海 ,李科杰 . 北京理工大学学报：英文版 . 2016,第4期
• 2. Template Match Object Detection for Inertial Navigation Systems [J] . Wiedo Hu ,Ahmed Mohamed Gharuib ,Alaa El-Din Sayed Hafez . 导航（英文） . 2011,第2期
• 3. 针对越野自主导航的障碍物检测系统 [C] . 项志宇 . 2005全国自动化新技术学术交流会 . 2005
• 4. 该课题对国内外孕妇装方面的研究成果进行了梳理,基于孕妇装方面的研究成果,结合孕期女性身心的变化特点,开展了职场环境下孕妇装设计方法的探索和实践研究。针对孕妇不同阶段体形、心理变化的特点,以服装学、色彩心理学、服装材料学、纸样设计原理等为理论基础,满足孕妇对服装外部廓形、内部结构、色彩、面料的需求。接着,在职场女性着装特点以及着装规范的基础上,给出职场环境下孕妇装的设计方案,并进行设计实践。该课题的研究可以为孕期女性的职场穿衣问题提供可行的解决方案,并为孕妇装品牌产品线的开发提供设计实践方面的借鉴。 [A] . 孙希璐 . 2021