Search Results - "Hochdorfer, S."

6 DoF SLAM using a ToF camera: The challenge of a continuously growing number of landmarks by Hochdorfer, S, Schlegel, C

“…Localization and mapping are fundamental problems in service robotics since representations of the environment and knowledge about the own pose significantly…”
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Landmark rating and selection according to localization coverage: Addressing the challenge of lifelong operation of SLAM in service robots by Hochdorfer, S., Schlegel, C.

“…Acting in everyday-life environments is still a great challenge in service robotics. Although algorithms and solutions already exist for many relevant…”
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Towards a robust visual SLAM approach: Addressing the challenge of life-long operation by Hochdorfer, S., Schlegel, C.

“…Localization and mapping are fundamental problems in service robotics. Knowledge about the own pose and representations of the environment are needed for a…”
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Probabilistic fusion of multiple algorithms for object recognition at information level by Lutz, M., Stampfer, D., Hochdorfer, S., Schlegel, C.

“…Reliable object recognition is a mandatory prerequisite for service robots that operate in everyday environments. Typical approaches run a single classifier…”
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Global localization using multiple hypothesis tracking: A real-world approach by Lutz, M, Hochdorfer, S, Schlegel, C

“…Life-long and robust operation are important challenges to be solved towards everyday usability of service robots. Global localization is of particular…”
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Lifelong localization of a mobile service-robot in everyday indoor environments using omnidirectional vision by Hochdorfer, S., Lutz, M., Schlegel, C.

“…SLAM (Simultaneous Localization and Mapping) mechanisms are a key component towards advanced service robotics applications. Currently, a major hurdle on the…”
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