The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Hans-joachim Wuensche - One of the best experts on this subject based on the ideXlab platform.
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A Radar Measurement Model for Extended Object Tracking in Dynamic Scenarios
2019 IEEE Intelligent Vehicles Symposium (IV), 2019Co-Authors: Philipp Berthold, Martin Michaelis, Thorsten Luettel, Daniel Meissner, Hans-joachim WuenscheAbstract:The Radar sensor is an important component in autonomous driving applications. Compared with other sensor types like LiDAR or camera, the Radar sensor comes with best weather robustness and ease of integration. Its exclusive capability to measure electromagnetic reflectivity and Doppler-derived radial speeds plays a major role in environment perception applications. However, the processing chain of the Radar is more complex and often results in unintuitive Measurement effects. In this paper, we explain the technical background of high-resolution Radar detections. We give a probabilistic architecture modeling Doppler and Micro-Doppler Measurements and their influence on the Monopulse-based azimuth angle, the peak detection and the resulting Measurement data. Examples accompany the description of the modeling steps.
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An Abstracted Radar Measurement Model for Extended Object Tracking
2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018Co-Authors: Philipp Berthold, Martin Michaelis, Thorsten Luettel, Daniel Meissner, Hans-joachim WuenscheAbstract:The trend towards highly-automated driver assistance systems strongly depends on the performance of environmental perception systems. Increasingly, greater attention is paid to sensor data modeling, because more Measurement information can be gained with a good understanding of the hardware. Radar sensors are cost-efficient and thus often used for kinematic object tracking. Current techniques for the utilization of high-resolution Radar sensors for object extent estimation, usually model the spatial occurrence of Radar detections using statistical approximations. Although providing fast calculation speeds, the obtainable accuracy is not sufficient, especially when low-cost hardware is used. In this work, we propose a Radar model which is based on approximations of every functional abstraction layer of Radar sensors, from the electromagnetic wave distribution to the digital signal processing. This approach allows an inherent and generic modeling of the spatial detection probability of the environment, regardless of its exact content and avoiding any complexity issues. Consequently, the interaction between Measurements of multiple vehicles can be accurately modeled. Additionally, various details like the antenna diagram and underbody reflections are included. The final Radar model is evaluated and compared to Measurement data.
Howard A. Zebker - One of the best experts on this subject based on the ideXlab platform.
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Interferometric Radar Measurement of ocean surface currents
Nature, 2003Co-Authors: R. M. Goldstein, Howard A. ZebkerAbstract:We describe a new method of measuring surface currents using an interferometric synthetic aperture Radar. An airborne implementation has been tested over the San Francisco Bay near the time of maximum tidal flow, resulting in a map of the east-west component of the current. Only the line-of-sight component of velocity is measured by this technique. Where the signal-to-noise ratio was strongest, statistical fluctuations of less than 4 cm s-1 were observed for ocean patches of 60times60 m.
D. Or - One of the best experts on this subject based on the ideXlab platform.
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Ground-penetrating Radar Measurement of soil water content dynamics using a suspended horn antenna
IEEE Transactions on Geoscience and Remote Sensing, 2004Co-Authors: G. Serbin, D. OrAbstract:A ground-penetrating Radar (GPR) with a suspended horn antenna was used to obtain continual Measurement of near-surface soil water content dynamics within a well-defined footprint. Water contents inferred from Radar surface reflectivity (SR) were in agreement with gravimetric Measurements from the top 1-cm soil layer. This sensitivity to top 1 cm was confirmed by comparison of SR with deeper Measurements (1-5 cm) obtained by time-domain reflectometry. Measurements over sand and silt loam showed the role of soil type in controling near-surface dynamics of soil water due to evaporation and drainage processes. GPR with a horn antenna provided insights into physical processes that could affect larger scale Radar platforms (air- or spaceborne) and enabled verification of Radar Measurements at well-defined spatial scales and detailed temporal resolutions not available by other Radar remote sensing systems.
Philipp Berthold - One of the best experts on this subject based on the ideXlab platform.
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A Radar Measurement Model for Extended Object Tracking in Dynamic Scenarios
2019 IEEE Intelligent Vehicles Symposium (IV), 2019Co-Authors: Philipp Berthold, Martin Michaelis, Thorsten Luettel, Daniel Meissner, Hans-joachim WuenscheAbstract:The Radar sensor is an important component in autonomous driving applications. Compared with other sensor types like LiDAR or camera, the Radar sensor comes with best weather robustness and ease of integration. Its exclusive capability to measure electromagnetic reflectivity and Doppler-derived radial speeds plays a major role in environment perception applications. However, the processing chain of the Radar is more complex and often results in unintuitive Measurement effects. In this paper, we explain the technical background of high-resolution Radar detections. We give a probabilistic architecture modeling Doppler and Micro-Doppler Measurements and their influence on the Monopulse-based azimuth angle, the peak detection and the resulting Measurement data. Examples accompany the description of the modeling steps.
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An Abstracted Radar Measurement Model for Extended Object Tracking
2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018Co-Authors: Philipp Berthold, Martin Michaelis, Thorsten Luettel, Daniel Meissner, Hans-joachim WuenscheAbstract:The trend towards highly-automated driver assistance systems strongly depends on the performance of environmental perception systems. Increasingly, greater attention is paid to sensor data modeling, because more Measurement information can be gained with a good understanding of the hardware. Radar sensors are cost-efficient and thus often used for kinematic object tracking. Current techniques for the utilization of high-resolution Radar sensors for object extent estimation, usually model the spatial occurrence of Radar detections using statistical approximations. Although providing fast calculation speeds, the obtainable accuracy is not sufficient, especially when low-cost hardware is used. In this work, we propose a Radar model which is based on approximations of every functional abstraction layer of Radar sensors, from the electromagnetic wave distribution to the digital signal processing. This approach allows an inherent and generic modeling of the spatial detection probability of the environment, regardless of its exact content and avoiding any complexity issues. Consequently, the interaction between Measurements of multiple vehicles can be accurately modeled. Additionally, various details like the antenna diagram and underbody reflections are included. The final Radar model is evaluated and compared to Measurement data.
R. M. Goldstein - One of the best experts on this subject based on the ideXlab platform.
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Interferometric Radar Measurement of ocean surface currents
Nature, 2003Co-Authors: R. M. Goldstein, Howard A. ZebkerAbstract:We describe a new method of measuring surface currents using an interferometric synthetic aperture Radar. An airborne implementation has been tested over the San Francisco Bay near the time of maximum tidal flow, resulting in a map of the east-west component of the current. Only the line-of-sight component of velocity is measured by this technique. Where the signal-to-noise ratio was strongest, statistical fluctuations of less than 4 cm s-1 were observed for ocean patches of 60times60 m.