• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 2
  • Tagged with
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • 2
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Positionering och kartuppbyggnad med avståndsmätande laser / Positioning and Mapping using Range Finding Laser

Kjellander, Jonas January 2003 (has links)
<p>This master thesis includes a description of how a number of sensors are put together in a sensor platform. It also gives a description of how localization and mapping has been performed with data collected from the sensor platform. </p><p>Localization is a prerequisite for most of the tasks that can be requested from an autonomous mobile robot. In many situations the GPS signal is not available and hence an additional localization system is required. One approach is to apply localization based on landmarks extracted from the robots surrounding. Using e.g. a scanning range finding laser landmarks can be extracted from the robots surrounding. </p><p>Localization and mapping is performed with an extended kalman filter where the robots and the landmarks positions are represented as states. The positioning algorithm is finally tested in indoor environment using lines and line segments as landmarks. The landmarks are extracted from measurement data from the scanning range finding laser. This master thesis is a part of a larger project which purpose is to investigate the benefit of cooperation between several mobile robots.</p>
2

Positionering och kartuppbyggnad med avståndsmätande laser / Positioning and Mapping using Range Finding Laser

Kjellander, Jonas January 2003 (has links)
This master thesis includes a description of how a number of sensors are put together in a sensor platform. It also gives a description of how localization and mapping has been performed with data collected from the sensor platform. Localization is a prerequisite for most of the tasks that can be requested from an autonomous mobile robot. In many situations the GPS signal is not available and hence an additional localization system is required. One approach is to apply localization based on landmarks extracted from the robots surrounding. Using e.g. a scanning range finding laser landmarks can be extracted from the robots surrounding. Localization and mapping is performed with an extended kalman filter where the robots and the landmarks positions are represented as states. The positioning algorithm is finally tested in indoor environment using lines and line segments as landmarks. The landmarks are extracted from measurement data from the scanning range finding laser. This master thesis is a part of a larger project which purpose is to investigate the benefit of cooperation between several mobile robots.

Page generated in 0.0643 seconds