liu yanli (12 risultati)

Paperback. Condizione: Brand New. 208 pages. 8.66x5.91x0.47 inches. In Stock.

Taschenbuch. Condizione: Neu. Research on Indoor 3D SLAM Fusing Color and Depth Information | Yanli Liu (u. a.) | Taschenbuch | 208 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786136596600 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. RGB_D SLAM Technology Based on Cloud Robotics | Yanli Liu (u. a.) | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200113818 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book is suitable for students and researchers who have the foundation of cloud computing and machine vision. Simultaneous Localization and Mapping (SLAM) in the unknown environment is an important research topic in the field of mobile robot navigation. The combination of cloud computing and the robot has gradually become the research focus and Cloud Robotics has injected new potential for robot technology. This book takes the advantages of cloud robots in data computing and storage, combines cloud robots with RGB-D SLAM algorithms, and offloads the back-end part of computationally intensive algorithms to the cloud. Combining with ROS system, we propose an RGB-D SLAM service framework based on cloud robots, and provide the process of data storage and data sharing between cloud and robot. Key highlight areas include: RGB_D SLAM, Cloud Robotics, FAST-BRISK Feature Detector.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is suited for computer science students and provides valuable knowledge to the intermediate scholars. Simultaneous Localization and Mapping (SLAM) is the basis for mobile robot autonomous navigating in unknown environment. This book introduces SLAM based on RGB-D color information and depth information for indoor unknown environment, which includes RGB-D depth distortion correction, feature detection, feature description and feature association. Without any prior knowledge, a Kinect does 6-DOF motion in indoor scenes and perceives the surrounding environment information, extracting stable feature points of the environment to represent the actual physical point in 3D space which is used as landmarks to create feature-based geometry map of the environment. The VO-EIF SLAM system and the loop closing detection system are conducted. All experimental studies are completed on the ROS platform in the Ubuntu environment. Key highlight areas include: Depth Distortion Correction; feature detection; feature description; RGB-D SLAM; Loop Closing. 208 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is suitable for students and researchers who have the foundation of cloud computing and machine vision. Simultaneous Localization and Mapping (SLAM) in the unknown environment is an important research topic in the field of mobile robot navigation. The combination of cloud computing and the robot has gradually become the research focus and Cloud Robotics has injected new potential for robot technology. This book takes the advantages of cloud robots in data computing and storage, combines cloud robots with RGB-D SLAM algorithms, and offloads the back-end part of computationally intensive algorithms to the cloud. Combining with ROS system, we propose an RGB-D SLAM service framework based on cloud robots, and provide the process of data storage and data sharing between cloud and robot. Key highlight areas include: RGB_D SLAM, Cloud Robotics, FAST-BRISK Feature Detector. 208 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Liu YanliYanli Liu was born in Hubei (China) in 1979. She received the MS degree in Computer Application Technology in 2005, and the PhD in 2014 at Central South University (China). She is currently an associate professor at East Chi.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Liu YanliYanli Liu was born in Hubei(China) in 1979. She received the PhD in 2014 at Central South University (China). She is currently an associate professor at East China Jiaotong University. Her research interest includes compute.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is suited for computer science students and provides valuable knowledge to the intermediate scholars. Simultaneous Localization and Mapping (SLAM) is the basis for mobile robot autonomous navigating in unknown environment. This book introduces SLAM based on RGB-D color information and depth information for indoor unknown environment, which includes RGB-D depth distortion correction, feature detection, feature description and feature association. Without any prior knowledge, a Kinect does 6-DOF motion in indoor scenes and perceives the surrounding environment information, extracting stable feature points of the environment to represent the actual physical point in 3D space which is used as landmarks to create feature-based geometry map of the environment. The VO-EIF SLAM system and the loop closing detection system are conducted. All experimental studies are completed on the ROS platform in the Ubuntu environment. Key highlight areas include: Depth Distortion Correction; feature detection; feature description; RGB-D SLAM; Loop Closing.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 208 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is suited for computer science students and provides valuable knowledge to the intermediate scholars. Simultaneous Localization and Mapping (SLAM) is the basis for mobile robot autonomous navigating in unknown environment. This book introduces SLAM based on RGB-D color information and depth information for indoor unknown environment, which includes RGB-D depth distortion correction, feature detection, feature description and feature association. Without any prior knowledge, a Kinect does 6-DOF motion in indoor scenes and perceives the surrounding environment information, extracting stable feature points of the environment to represent the actual physical point in 3D space which is used as landmarks to create feature-based geometry map of the environment. The VO-EIF SLAM system and the loop closing detection system are conducted. All experimental studies are completed on the ROS platform in the Ubuntu environment. Key highlight areas include: Depth Distortion Correction; feature detection; feature description; RGB-D SLAM; Loop Closing.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is suitable for students and researchers who have the foundation of cloud computing and machine vision. Simultaneous Localization and Mapping (SLAM) in the unknown environment is an important research topic in the field of mobile robot navigation. The combination of cloud computing and the robot has gradually become the research focus and Cloud Robotics has injected new potential for robot technology. This book takes the advantages of cloud robots in data computing and storage, combines cloud robots with RGB-D SLAM algorithms, and offloads the back-end part of computationally intensive algorithms to the cloud. Combining with ROS system, we propose an RGB-D SLAM service framework based on cloud robots, and provide the process of data storage and data sharing between cloud and robot. Key highlight areas include: RGB_D SLAM, Cloud Robotics, FAST-BRISK Feature Detector.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 208 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is suitable for students and researchers who have the foundation of cloud computing and machine vision. Simultaneous Localization and Mapping (SLAM) in the unknown environment is an important research topic in the field of mobile robot navigation. The combination of cloud computing and the robot has gradually become the research focus and Cloud Robotics has injected new potential for robot technology. This book takes the advantages of cloud robots in data computing and storage, combines cloud robots with RGB-D SLAM algorithms, and offloads the back-end part of computationally intensive algorithms to the cloud. Combining with ROS system, we propose an RGB-D SLAM service framework based on cloud robots, and provide the process of data storage and data sharing between cloud and robot. Key highlight areas include: RGB_D SLAM, Cloud Robotics, FAST-BRISK Feature Detector.