Conditional particle filters for simultaneous mobile robot localization and people-tracking

2003 ◽  
Author(s):  
M. Montemerlo ◽  
S. Thrun ◽  
W. Whittaker
Keyword(s):  
Mobile Robot ◽  
Particle Filters ◽  
Robot Localization ◽  
People Tracking ◽  
Mobile Robot Localization

Particle Filters for Mobile Robot Localization

2001 ◽  
pp. 401-428 ◽  
Author(s):  
Dieter Fox ◽  
Sebastian Thrun ◽  
Wolfram Burgard ◽  
Frank Dellaert
Keyword(s):  
Mobile Robot ◽  
Particle Filters ◽  
Robot Localization ◽  
Mobile Robot Localization

3-D Scan Matching for Mobile Robot Localization over Rough Terrain

2019 ◽  
Vol 139 (9) ◽  
pp. 1041-1050
Author(s):  
Hiroyuki Nakagomi ◽  
Yoshihiro Fuse ◽  
Hidehiko Hosaka ◽  
Hironaga Miyamoto ◽  
Takashi Nakamura ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Rough Terrain ◽  
Robot Localization ◽  
Scan Matching ◽  
Mobile Robot Localization

LMI Methods for Extended ℋ∞ Filters for Landmark-based Mobile Robot Localization

2021 ◽  
Author(s):  
Julio Fajardo ◽  
Victor Ferman ◽  
Jabes Guerra ◽  
Antonio Ribas Neto ◽  
Eric Rohmer
Keyword(s):  
Mobile Robot ◽  
Robot Localization ◽  
Mobile Robot Localization

scholarly journals Calibration of ultrasonic sensors of a mobile robot

2009 ◽  
Vol 6 (3) ◽  
pp. 427-437 ◽  
Author(s):  
Ivan Paunovic ◽  
Darko Todorovic ◽  
Miroslav Bozic ◽  
Goran Djordjevic
Keyword(s):  
Signal Processing ◽  
Mobile Robot ◽  
Calibration Procedure ◽  
Ultrasonic Sensor ◽  
Robot Localization ◽  
Ultrasonic Sensors ◽  
Nonlinear Characteristics ◽  
Mobile Robot Localization

The paper discusses a mobile robot localization. Due to cost and simplicity of signal processing, the ultrasonic sensors are very suitable for this application. However, their nonlinear characteristics requires thorough calibrating procedure in order to achieve reliable readings from the obstacles around the robot. Here we describe SMR400 ultrasonic sensor and its calibration procedure. The suggested calibration procedure was tested through a number of experiments, and the results are presented in this paper. .

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