The Experts below are selected from a list of 1818 Experts worldwide ranked by ideXlab platform

Joachim Hertzberg - One of the best experts on this subject based on the ideXlab platform.

  • ECMR - SEMAP - a semantic Environment Mapping framework
    2015 European Conference on Mobile Robots (ECMR), 2015
    Co-Authors: Henning Deeken, Thomas Wiemann, Kai Lingemann, Joachim Hertzberg
    Abstract:

    This paper presents the SEMAP framework designed to maintain and analyze the spatial data of a multi-modal Environment model. SEMAP uses a spatial database at its core to store metric data and link it to semantic descriptions via semantic annotation. Through in-built and custom-made spatial operators of a PostGIS database, we enable the spatial analysis of quantitative metric data, which we then use in the context of semantic Mapping. We use SEMAP to query for task-specific sets of spatial and semantic data, to create semantically augmented metric navigation maps, and to extract implicit topological information from geometric data.

  • SEMAP - A semantic Environment Mapping framework
    2015 European Conference on Mobile Robots ECMR 2015 - Proceedings, 2015
    Co-Authors: Henning Deeken, Thomas Wiemann, Kai Lingemann, Joachim Hertzberg
    Abstract:

    This paper presents the SEMAP framework designed to maintain and analyze the spatial data of a multi-modal Environment model. SEMAP uses a spatial database at its core to store metric data and link it to semantic descriptions via semantic annotation. Through in-built and custom-made spatial operators of a PostGIS database, we enable the spatial analysis of quantitative metric data, which we then use in the context of semantic Mapping. We use SEMAP to query for task-specific sets of spatial and semantic data, to create semantically augmented metric navigation maps, and to extract implicit topological information from geometric data.

H. Delic - One of the best experts on this subject based on the ideXlab platform.

  • Sonar resolution-based Environment Mapping
    Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146), 1998
    Co-Authors: L. Cahut, K.p. Valavanis, H. Delic
    Abstract:

    Ultrasonic range sensors are used to obtain the information required for collision-free navigation of a mobile robot in a semi-structured or unstructured Environment. A set of range readings from a ring of sonars are correlated to acquire a 2D map of the robot's Environment. The map is continuously enhanced via novel matching and update algorithms as new data are collected while the robot is in motion. The algorithm utilizes confidence measures that are directly obtained from the sonar's resolution or accuracy. There are no additional modeling assumptions and the approach is robust. The algorithms are experimentally tested on the Nomad 200 mobile robot and Nomad's Cognos Software Development Package.

  • ICRA - Sonar resolution-based Environment Mapping
    Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146), 1998
    Co-Authors: L. Cahut, K.p. Valavanis, H. Delic
    Abstract:

    Ultrasonic range sensors are used to obtain the information required for collision-free navigation of a mobile robot in a semi-structured or unstructured Environment. A set of range readings from a ring of sonars are correlated to acquire a 2D map of the robot's Environment. The map is continuously enhanced via novel matching and update algorithms as new data are collected while the robot is in motion. The algorithm utilizes confidence measures that are directly obtained from the sonar's resolution or accuracy. There are no additional modeling assumptions and the approach is robust. The algorithms are experimentally tested on the Nomad 200 mobile robot and Nomad's Cognos Software Development Package.

Anna Guerra - One of the best experts on this subject based on the ideXlab platform.

  • A Millimeter-Wave Indoor Backscattering Channel Model for Environment Mapping
    IEEE Transactions on Antennas and Propagation, 2017
    Co-Authors: Anna Guerra, Francesco Guidi, Davide Dardari, Antonio Clemente, Raffaele D'errico
    Abstract:

    In this communication, we introduce a channel model for personal radar applications where a millimeter-wave (mm-wave) massive array is required to scan the Environment and to reconstruct a map of it. The analysis is based on measurement campaigns, in a corridor and in an office room, performed using mm-wave massive arrays. In such a context, we aim at characterizing the channel from both a temporal and an angular perspective by exploiting a 2D CLEAN-like technique to extrapolate the multipath components and a K-means algorithm for clustering, where centroids statistics depend on the Environment contour. The obtained channel model can be exploited for Mapping algorithms based on backscattered radar measurements.

  • ACSSC - Millimeter-wave personal radars for 3D Environment Mapping
    2014 48th Asilomar Conference on Signals Systems and Computers, 2014
    Co-Authors: Anna Guerra, Francesco Guidi, Davide Dardari
    Abstract:

    The future availability of millimeter-wave technology in next generation smartphones will allow the exploitation of compact massive antenna arrays thus enabling new interesting applications such as those related to the personal radar concept. In this paper we analyze the possibility of accurate Environment Mapping through millimeter-wave personal radars. The impact on map reconstruction accuracy of signal bandwidth, number of antennas, and non-idealities is investigated.

  • Millimeter-wave personal radars for 3D Environment Mapping
    2014 48th Asilomar Conference on Signals Systems and Computers, 2014
    Co-Authors: Anna Guerra, Francesco Guidi, Davide Dardari
    Abstract:

    The future availability of millimeter-wave technology in next generation smartphones will allow the exploitation of compact massive antenna arrays thus enabling new interesting applications such as those related to the personal radar concept. In this paper we analyze the possibility of accurate Environment Mapping through millimeter-wave personal radars. The impact on map reconstruction accuracy of signal bandwidth, number of antennas, and non-idealities is investigated.

Davide Dardari - One of the best experts on this subject based on the ideXlab platform.

  • A Millimeter-Wave Indoor Backscattering Channel Model for Environment Mapping
    IEEE Transactions on Antennas and Propagation, 2017
    Co-Authors: Anna Guerra, Francesco Guidi, Davide Dardari, Antonio Clemente, Raffaele D'errico
    Abstract:

    In this communication, we introduce a channel model for personal radar applications where a millimeter-wave (mm-wave) massive array is required to scan the Environment and to reconstruct a map of it. The analysis is based on measurement campaigns, in a corridor and in an office room, performed using mm-wave massive arrays. In such a context, we aim at characterizing the channel from both a temporal and an angular perspective by exploiting a 2D CLEAN-like technique to extrapolate the multipath components and a K-means algorithm for clustering, where centroids statistics depend on the Environment contour. The obtained channel model can be exploited for Mapping algorithms based on backscattered radar measurements.

  • ACSSC - Millimeter-wave personal radars for 3D Environment Mapping
    2014 48th Asilomar Conference on Signals Systems and Computers, 2014
    Co-Authors: Anna Guerra, Francesco Guidi, Davide Dardari
    Abstract:

    The future availability of millimeter-wave technology in next generation smartphones will allow the exploitation of compact massive antenna arrays thus enabling new interesting applications such as those related to the personal radar concept. In this paper we analyze the possibility of accurate Environment Mapping through millimeter-wave personal radars. The impact on map reconstruction accuracy of signal bandwidth, number of antennas, and non-idealities is investigated.

  • Millimeter-wave personal radars for 3D Environment Mapping
    2014 48th Asilomar Conference on Signals Systems and Computers, 2014
    Co-Authors: Anna Guerra, Francesco Guidi, Davide Dardari
    Abstract:

    The future availability of millimeter-wave technology in next generation smartphones will allow the exploitation of compact massive antenna arrays thus enabling new interesting applications such as those related to the personal radar concept. In this paper we analyze the possibility of accurate Environment Mapping through millimeter-wave personal radars. The impact on map reconstruction accuracy of signal bandwidth, number of antennas, and non-idealities is investigated.

Henning Deeken - One of the best experts on this subject based on the ideXlab platform.

  • ECMR - SEMAP - a semantic Environment Mapping framework
    2015 European Conference on Mobile Robots (ECMR), 2015
    Co-Authors: Henning Deeken, Thomas Wiemann, Kai Lingemann, Joachim Hertzberg
    Abstract:

    This paper presents the SEMAP framework designed to maintain and analyze the spatial data of a multi-modal Environment model. SEMAP uses a spatial database at its core to store metric data and link it to semantic descriptions via semantic annotation. Through in-built and custom-made spatial operators of a PostGIS database, we enable the spatial analysis of quantitative metric data, which we then use in the context of semantic Mapping. We use SEMAP to query for task-specific sets of spatial and semantic data, to create semantically augmented metric navigation maps, and to extract implicit topological information from geometric data.

  • SEMAP - A semantic Environment Mapping framework
    2015 European Conference on Mobile Robots ECMR 2015 - Proceedings, 2015
    Co-Authors: Henning Deeken, Thomas Wiemann, Kai Lingemann, Joachim Hertzberg
    Abstract:

    This paper presents the SEMAP framework designed to maintain and analyze the spatial data of a multi-modal Environment model. SEMAP uses a spatial database at its core to store metric data and link it to semantic descriptions via semantic annotation. Through in-built and custom-made spatial operators of a PostGIS database, we enable the spatial analysis of quantitative metric data, which we then use in the context of semantic Mapping. We use SEMAP to query for task-specific sets of spatial and semantic data, to create semantically augmented metric navigation maps, and to extract implicit topological information from geometric data.