Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Bastian Steder"'
Publikováno v:
Journal of Field Robotics. 32:565-589
In the past, there has been a tremendous amount of progress in the area of autonomous robot navigation, and a large variety of robots have been developed that demonstrated robust navigation capabilities indoors, in nonurban outdoor environments, or o
Publikováno v:
IROS
Reliable detection and avoidance of obstacles is a crucial prerequisite for autonomously navigating robots as both guarantee safety and mobility. To ensure safe mobility, the obstacle detection needs to run online, thereby taking limited resources of
Publikováno v:
IROS
Localizing a camera in a given map is essential for vision-based navigation. In contrast to common methods for visual localization that use maps acquired with cameras, we propose a novel approach, which tracks the pose of monocular camera with respec
Autor:
Alexander Kleiner, Rainer Kümmerle, Bastian Steder, Wolfram Burgard, Christian Dornhege, Giorgio Grisetti
Publikováno v:
Robotics: Science and Systems
Scopus-Elsevier
Scopus-Elsevier
To effectively navigate in their environments and accurately reach their target locations, mobile robots require a globally consistent map of the environment. The problem of learning a map with a mobile robot has been intensively studied in the past
Autor:
Bastian Steder, Giorgio Grisetti, Alexander Kleiner, Christian Dornhege, Cyrill Stachniss, Rainer Kümmerle, Michael Ruhnke
Publikováno v:
Autonomous Robots. 27:387-407
In this paper, we address the problem of creating an objective benchmark for evaluating SLAM approaches. We propose a framework for analyzing the results of a SLAM approach based on a metric for measuring the error of the corrected trajectory. This m
Publikováno v:
IEEE Transactions on Robotics. 24:1088-1093
The ability to learn a map of the environment is important for numerous types of robotic vehicles. In this paper, we address the problem of learning a visual map of the ground using flying vehicles. We assume that the vehicles are equipped with one o
Publikováno v:
IROS
Accurate localization in indoor environments is widely regarded as a key opener for various location-based services. Despite tremendous advancements in the development of innovative sensor concepts, the most effective and accurate solutions to this p
Publikováno v:
ICRA
The ability to safely navigate is a crucial prerequisite for truly autonomous systems. A robot has to distinguish obstacles from traversable ground. Failing on this task can cause great damage or restrict the robots movement unnecessarily. Due to the
Publikováno v:
ICRA
Networks of laser range finders are a popular tool for monitoring large cluttered areas and to track people. Whenever multiple scanners are used for this purpose, one major problem is how to determine the relative positions of all the scanners. In th
Publikováno v:
ICRA
Over the past years, there has been a tremendous progress in the area of robot navigation. Most of the systems developed thus far, however, are restricted to indoor scenarios, non-urban outdoor environments, or road usage with cars. Urban areas intro