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CVPR
1999
IEEE
14 years 6 months ago
Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization
To navigate reliably in indoor environments, a mobile robot must know where it is. This includes both the ability of globally localizing the robot from scratch, as well as trackin...
Frank Dellaert, Wolfram Burgard, Dieter Fox, Sebas...
ICRA
2002
IEEE
177views Robotics» more  ICRA 2002»
13 years 9 months ago
Robust Vision-Based Localization for Mobile Robots using an Image Retrieval System Based on Invariant Features
In this paper we present a vision-based approach to mobile robot localization, that integrates an image retrieval system with Monte-Carlo localization. The image retrieval process...
Jürgen Wolf, Wolfram Burgard, Hans Burkhardt
IROS
2006
IEEE
151views Robotics» more  IROS 2006»
13 years 10 months ago
Robust Feature Correspondences for Vision-Based Navigation with Slow Frame-Rate Cameras
— We propose a vision-based inertial system that overcomes the problems associated with slow update rates in navigation systems based on high-resolution cameras. Due to bandwidth...
Darius Burschka
ICRA
1999
IEEE
192views Robotics» more  ICRA 1999»
13 years 9 months ago
Cooperative Robot Localization with Vision-Based Mapping
Two stereo vision-based mobile robots navigate and autonomously explore their environment safely while building occupancy grid maps of the environment. A novel landmark recognitio...
Cullen Jennings, Don Murray, James J. Little
IROS
2009
IEEE
275views Robotics» more  IROS 2009»
13 years 11 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