The Mobile Robot SLAM Based on Depth and Visual Sensing in Structured Environment

2015 ◽  
pp. 343-357
Author(s):  
Yezhang Tu ◽  
Zhiwu Huang ◽  
Xiaoyong Zhang ◽  
Wentao Yu ◽  
Yang Xu ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Visual Sensing

scholarly journals A Method of Planning Movement and Observation for a Mobile Robot Considering Uncertainties of Movement, Visual Sensing, and a Map.

2000 ◽  
Vol 43 (2) ◽  
pp. 415-422
Author(s):  
Toshihiko KANBARA ◽  
Jun MIURA ◽  
Yoshiaki SHIRAI ◽  
Akira HAYASHI ◽  
Shigang LI
Keyword(s):  
Mobile Robot ◽  
Visual Sensing

A new approach using sensor data fusion for mobile robot navigation

Robotica ◽  
2004 ◽  
Vol 22 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Tae-Seok Jin ◽  
Jang Myung Lee ◽  
S. K. Tso
Keyword(s):  
Mobile Robot ◽  
Sensor Fusion ◽  
Current Data ◽  
Sensor Data ◽  
Mobile Robot Navigation ◽  
Service Robots ◽  
Mobile Service ◽  
Data Sets ◽  
Sensing System ◽  
Visual Sensing

To fully utilize the information from the sensors, this paper proposes a new sensor-fusion technique where the data sets for the previous moments are properly transformed and fused into the current data sets to enable an accurate measurement. Exploration of an unknown environment is an important task for the new generation of mobile service robots. The mobile robots may navigate by means of a number of monitoring systems such as the sonar-sensing system or the visual-sensing system. Note that in the conventional fusion schemes, the measurement is dependent on the current data sets only. Therefore, more of sensors are required to measure a certain physical parameter or to improve the accuracy of the measurement. However, in this approach, instead of adding more sensors to the system, the temporal sequence of the data sets are stored and utilized for the accurate measurement. The theoretical basis is illustrated by examples and the effectiveness is proved through the simulations and experiments. The newly proposed, STSF (Space and Time Sensor Fusion) scheme is applied to the navigation of a mobile robot in an unstructured environment, as well as in structured environment, and the experimental results show the performance of the system.

scholarly journals A Method of Planning Movement and Observation for a Mobile Robot Considering Uncertainties of Movement, Visual Sensing, and a Map.

1999 ◽  
Vol 65 (629) ◽  
pp. 130-137 ◽  
Author(s):  
Toshihiko KANBARA ◽  
Jun MIURA ◽  
Yoshiaki SHIRAI ◽  
Akira HAYASHI ◽  
Shigang LI
Keyword(s):  
Mobile Robot ◽  
Visual Sensing

scholarly journals ROS-Based Human Detection and Tracking from a Wireless Controlled Mobile Robot Using Kinect

2019 ◽  
Vol 2 (1) ◽  
pp. 5 ◽  
Author(s):  
Sidagam Sankar ◽  
Chi-Yi Tsai
Keyword(s):  
Control System ◽  
Remote Control ◽  
Mobile Robot ◽  
Real Time ◽  
Human Detection ◽  
Mobile Platform ◽  
Remote Control System ◽  
Visual Sensing ◽  
System A ◽  
Detection And Tracking

Human detection and tracking is an important task in artificial intelligent robotic systems, which usually require a robust target detector to work in a variety of circumstances. In complex environments where a camera is installed on a wheeled mobile robot, this task becomes much more difficult. In this paper, we present a real-time remote-control system for human detection, tracking, security, and verification in such challenging environments. Such a system is useful for security monitoring, data collection, and experimental purpose. In the proposed system, a Kinect RGB-D camera from Microsoft is used as a visual sensing device for the design of human detection and tracking. We also implemented a remote-control system on a four-wheel mobile platform with a Robot Operating System (ROS). By combining these two designs, a wireless controlled mobile platform having the feature of real-time human monitoring can be realized to handle this task efficiently. Experimental results validate the performance of the proposed system for wirelessly controlling the mobile robot to track humans in a real-world environment.

Visual Sensing Is Seeing: Why Mindsight, in Hindsight, Is Blind

2004 ◽  
Author(s):  
Daniel J. Simons ◽  
Gabriel Nevarez ◽  
Walter R. Boot
Keyword(s):  
Visual Sensing
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