Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
Yanli 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 China Jiaotong University. Her research interest includes computer vision, mobile robot autonomous navigation and cloud robotics.
"About this title" may belong to another edition of this title.
Search results for Research on Indoor 3D SLAM Fusing Color and Depth Informatio...
Seller Image
Research on Indoor 3D SLAM Fusing Color and Depth Information
Published by
LAP LAMBERT Academic Publishing Feb 2018, 2018
ISBN 10: 6136596601
ISBN 13: 9786136596600
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786136596600
Buy New
US$ 50.84
US$ 27.09 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available
Stock Image
Research on Indoor 3D SLAM Fusing Color and Depth Information
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6136596601
ISBN 13: 9786136596600
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 208 pages. 8.66x5.91x0.47 inches. In Stock. Seller Inventory # zk6136596601
Buy New
US$ 87.08
US$ 13.60 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Seller Image
Research on Indoor 3D SLAM Fusing Color and Depth Information
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6136596601
ISBN 13: 9786136596600
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: 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. Seller Inventory # 385844592
Buy New
US$ 43.37
US$ 57.70 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Research on Indoor 3D SLAM Fusing Color and Depth Information
Published by
LAP LAMBERT Academic Publishing Feb 2018, 2018
ISBN 10: 6136596601
ISBN 13: 9786136596600
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786136596600
Buy New
US$ 50.84
US$ 70.67 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 1 available
Seller Image
Research on Indoor 3D SLAM Fusing Color and Depth Information
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6136596601
ISBN 13: 9786136596600
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786136596600
Buy New
US$ 51.85
US$ 72.60 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 1 available
Seller Image
Research on Indoor 3D SLAM Fusing Color and Depth Information
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6136596601
ISBN 13: 9786136596600
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 111628585
Buy New
US$ 45.85
US$ 82.45 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 5 available