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» Integrating Range and Object Data for Robot Navigation
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ACMSE
2004
ACM
14 years 1 months ago
A model-driven approach for generating embedded robot navigation control software
Real-time embedded systems are time-critical systems that are hard to implement as compared to traditional commercial software, due to the large number of conflicting requirements...
Bina Shah, Rachael Dennison, Jeff Gray
ROBOCUP
1999
Springer
102views Robotics» more  ROBOCUP 1999»
13 years 12 months ago
A Method for Localization by Integration of Imprecise Vision and a Field Model
In recent years, many researchers in AI and Robotics pay attention to RoboCup, because robotic soccer games needs various techniques in AI and Robotics, such as navigation, behavi...
Kazunori Terada, Kouji Mochizuki, Atsushi Ueno, Hi...
IROS
2009
IEEE
275views Robotics» more  IROS 2009»
14 years 2 months ago
A stereo vision based mapping algorithm for detecting inclines, drop-offs, and obstacles for safe local navigation
— Mobile robots have to detect and handle a variety of potential hazards to navigate autonomously. We present a real-time stereo vision based mapping algorithm for identifying an...
Aniket Murarka, Benjamin Kuipers
AIPR
2003
IEEE
13 years 11 months ago
Sensor and Classifier Fusion for Outdoor Obstacle Detection: an Application of Data Fusion To Autonomous Off-Road Navigation
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
Cristian Dima, Nicolas Vandapel, Martial Hebert
JFR
2006
242views more  JFR 2006»
13 years 7 months ago
Natural terrain classification using three-dimensional ladar data for ground robot mobility
In recent years, much progress has been made in outdoor autonomous navigation. However, safe navigation is still a daunting challenge in terrain containing vegetation. In this pap...
Jean-François Lalonde, Nicolas Vandapel, Da...