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Clustering and Subsequent Contour and Motion Estimation of Automotive Objects Using a Network of Cooperative Radar Sensors

  • Published:2023-01 Issue:1 Volume:72 Page:428-443
  • ISSN:0018-9545
  • Container-title:IEEE Transactions on Vehicular Technology
  • language:
  • Short-container-title:IEEE Trans. Veh. Technol.

Author:

Schlichenmaier Johannes1ORCID,Steiner Maximilian1ORCID,Grebner Timo1ORCID,Waldschmidt Christian1ORCID

Affiliation:

1. Institute of Microwave Engineering, Ulm University, Ulm, Germany

Funder

German Federal Ministry of Education and Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Reference38 articles.

1. A Cooperative MIMO Radar Network Using Highly Integrated FMCW Radar Sensors

2. Representing and Tracking of Dynamics Objects using Oriented Bounding Box and Extended Kalman Filter

3. Solving geometric problems with the rotating calipers;toussaint;Proc IEEE MELECON,0

4. Wheel extraction based on micro doppler distribution using high-resolution radar

5. Clustering of closely adjacent extended objects in radar images using velocity profile analysis;Proc IEEE MTT-S Int Conf Microw Intell Mobility,0

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1. Instantaneous Velocity Vector Estimation Using a Single MIMO Radar Via Multi-Bounce Scattering;2024 IEEE Conference on Computational Imaging Using Synthetic Apertures (CISA);2024-05-20

2. A High-Precision Approach to Eliminate Positioning Errors in Radar Calibrations;2024 18th European Conference on Antennas and Propagation (EuCAP);2024-03-17

3. 3D Mapping of Surface Profiles by Radar Measurements at E-Band Employing On-Site Near-Field Calibration;2023 International Conference on Electromagnetics in Advanced Applications (ICEAA);2023-10-09
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