Search Results - "Muckenhuber, Stefan"

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  1. 1

    Fault Detection, Isolation, Identification and Recovery (FDIIR) Methods for Automotive Perception Sensors Including a Detailed Literature Survey for Lidar by Goelles, Thomas, Schlager, Birgit, Muckenhuber, Stefan

    Published in Sensors (Basel, Switzerland) (30-06-2020)
    “…Perception sensors such as camera, radar, and lidar have gained considerable popularity in the automotive industry in recent years. In order to reach the next…”
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    Journal Article
  2. 2

    Development and Experimental Validation of an Intelligent Camera Model for Automated Driving by Genser, Simon, Muckenhuber, Stefan, Solmaz, Selim, Reckenzaun, Jakob

    Published in Sensors (Basel, Switzerland) (15-11-2021)
    “…The virtual testing and validation of advanced driver assistance system and automated driving (ADAS/AD) functions require efficient and realistic perception…”
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    Journal Article
  3. 3

    Configurable Sensor Model Architecture for the Development of Automated Driving Systems by Schmidt, Simon, Schlager, Birgit, Muckenhuber, Stefan, Stark, Rainer

    Published in Sensors (Basel, Switzerland) (08-07-2021)
    “…Sensor models provide the required environmental perception information for the development and testing of automated driving systems in virtual vehicle…”
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    Journal Article
  4. 4

    Operational algorithm for ice–water classification on dual-polarized RADARSAT-2 images by Zakhvatkina, Natalia, Korosov, Anton, Muckenhuber, Stefan, Sandven, Stein, Babiker, Mohamed

    Published in The cryosphere (11-01-2017)
    “…Synthetic Aperture Radar (SAR) data from RADARSAT-2 (RS2) in dual-polarization mode provide additional information for discriminating sea ice and open water…”
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    Journal Article
  5. 5

    Open-source sea ice drift algorithm for Sentinel-1 SAR imagery using a combination of feature tracking and pattern matching by Muckenhuber, Stefan, Sandven, Stein

    Published in The cryosphere (07-08-2017)
    “…An open-source sea ice drift algorithm for Sentinel-1 SAR imagery is introduced based on the combination of feature tracking and pattern matching. Feature…”
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    Journal Article
  6. 6

    Contaminations on Lidar Sensor Covers: Performance Degradation including Fault Detection and Modeling as Potential Applications by Schlager, Birgit, Goelles, Thomas, Muckenhuber, Stefan, Watzenig, Daniel

    “…Lidar sensors play an essential role in the perception system of automated vehicles. Fault Detection, Isolation, Identification, and Recovery (FDIIR) systems…”
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    Journal Article
  7. 7

    Automotive Lidar and Vibration: Resonance, Inertial Measurement Unit, and Effects on the Point Cloud by Schlager, Birgit, Goelles, Thomas, Behmer, Marco, Muckenhuber, Stefan, Payer, Johann, Watzenig, Daniel

    “…Lidar is an important component of the perception suite for automated systems. The effects of vibration on lidar point clouds are mostly unknown, despite the…”
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    Journal Article
  8. 8

    Occlusion Model -A geometric sensor modelling approach for virtual testing of ADAS/AD functions by Genser, Simon, Muckenhuber, Stefan, Gaisberger, Christoph, Haas, Sarah, HAID, Timo

    “…New advanced driver assistance system/automated driving (ADAS/AD) functions have the potential to significantly enhance the safety of vehicle passengers and…”
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    Journal Article
  9. 9

    Sea ice drift data for Fram Strait derived from a feature-tracking algorithm applied on Sentinel-1 SAR imagery by Muckenhuber, Stefan, Sandven, Stein

    Published in Data in brief (01-06-2018)
    “…1541 Sentinel-1 SAR images, acquired over Fram Strait between 2014 and 2016, were considered for sea ice drift retrieval using an open-source feature tracking…”
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    Journal Article
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    Angle-dependent spectral reflectance material dataset based on 945 nm time-of-flight camera measurements by Ritter, David J., Rott, Relindis, Schlager, Birgit, Muckenhuber, Stefan, Genser, Simon, Kirchengast, Martin, Hennecke, Marcus

    Published in Data in brief (01-06-2023)
    “…The main objective of this article is to provide angle-dependent spectral reflectance measurements of various materials in the near infrared spectrum. In…”
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    Journal Article
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    GPS data from sea ice trackers deployed in Fram Strait in 2016 by Muckenhuber, Stefan, Sagen, Hanne

    Published in Data in brief (01-06-2018)
    “…Three GPS trackers have been deployed on sea ice in Fram Strait collecting GPS positions between 7th July 2016 until 10th September 2016 with an interval…”
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    Journal Article
  14. 14

    Automotive Lidar Modelling Approach Based on Material Properties and Lidar Capabilities by Muckenhuber, Stefan, Holzer, Hannes, Bockaj, Zrinka

    Published in Sensors (Basel, Switzerland) (10-06-2020)
    “…Development and validation of reliable environment perception systems for automated driving functions requires the extension of conventional physical test…”
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    Journal Article
  15. 15

    Performance evaluation of a state-of-the-art automotive radar and corresponding modeling approaches based on a large labeled dataset by Muckenhuber, Stefan, Museljic, Eniz, Stettinger, Georg

    “…Radar is a key sensor to achieve a reliable environment perception for advanced driver assistance system and automated driving (ADAS/AD) functions. Reducing…”
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    Journal Article
  16. 16

    Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery by Muckenhuber, Stefan, Korosov, Anton Andreevich, Sandven, Stein

    Published in The cryosphere (26-04-2016)
    “…A computationally efficient, open-source feature-tracking algorithm, called ORB, is adopted and tuned for sea ice drift retrieval from Sentinel-1 SAR…”
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    Journal Article
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    Object-based sensor model for virtual testing of ADAS/AD functions by Muckenhuber, Stefan, Holzer, Hannes, Rubsam, Jonas, Stettinger, Georg

    “…A novel generic sensor model is introduced for testing and validation of ADAS/AD (Advanced Driver Assistance Systems/Autonomous Drive) functions. The model…”
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    Conference Proceeding
  20. 20

    Occlusion Model-A Geometric Sensor Modeling Approach for Virtual Testing of ADAS/AD Functions by Genser, Simon, Muckenhuber, Stefan, Gaisberger, Christoph, Haas, Sarah, Haid, Timo

    “…New advanced driver assistance system/automated driving (ADAS/AD) functions have the potential to significantly enhance the safety of vehicle passengers and…”
    Get full text
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