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» Probabilistic Mapping of an Environment by a Mobile Robot
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ICRA
2008
IEEE
124views Robotics» more  ICRA 2008»
14 years 1 months ago
Simultaneous learning of motion and sensor model parameters for mobile robots
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
Teddy N. Yap Jr., Christian R. Shelton
ICRA
2007
IEEE
159views Robotics» more  ICRA 2007»
14 years 1 months ago
Planning with Uncertainty in Position Using High-Resolution Maps
— We present a novel approach to mobile robot navigation that enables navigation in outdoor environments without GPS. The approach uses a path planner that calculates optimal pat...
Juan Pablo Gonzalez, Anthony Stentz
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
BMVC
2010
13 years 5 months ago
Histogram of Oriented Cameras - A New Descriptor for Visual SLAM in Dynamic Environments
Simultaneous localization and mapping (SLAM) is a basic prerequisite in autonomous mobile robotics. Most existing visual SLAM approaches either assume a static environment, or sim...
Katrin Pirker
ICARCV
2006
IEEE
180views Robotics» more  ICARCV 2006»
14 years 1 months ago
Simultaneous Localization and Mapping with Stereo Vision
— In the simultaneous localization and mapping (SLAM) problem, a mobile robot must build a map of its environment while simultaneously determining its location within that map. W...
Matthew N. Dailey, Manukid Parnichkun