Modeling of Environment for Technical Vision: Automatic Detection of Dynamic Objects in the Data Stream

被引：0

作者：

Tertychny, Korney S. ^{[1
]}

Karpov, Sergey A. ^{[1
]}

Krivolapov, Dmitry V. ^{[1
]}

Khoperskov, Alexander V. ^{[1
]}

机构：

[1] Volgograd State Univ, Volgograd, Russia

来源：

CREATIVITY IN INTELLIGENT TECHNOLOGIES AND DATA SCIENCE, PT II | 2019年 / 1084卷

关键词：

Computer vision; SLAM; Find object; Robotics; RGB-D; Microsoft Kinect 2.0; RTAB-Map; SIMULTANEOUS LOCALIZATION; SLAM; SENSOR;

D O I：

10.1007/978-3-030-29750-3_12

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The article describes the implemented package in the ROS framework, which creates a new data stream of the depth camera without a dynamic object. This product can be used in computer vision systems to cut objects that can move on the map in the data stream, thereby preventing the systems from focusing on unnecessary objects. As an example of use, the task of the SLAM method was implemented using data from the Microsoft Kinect 2.0 sensor and building a map for localizing the robot in RTAB-Map.

引用

页码：153 / 165

页数：13

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