Automated Ground Truth Estimation for Automotive Radar Tracking Applications With Portable GNSS And IMU Devices

@article{Scheiner2019AutomatedGT,
  title={Automated Ground Truth Estimation for Automotive Radar Tracking Applications With Portable GNSS And IMU Devices},
  author={Nicolas Scheiner and Stefan Haag and Nils Appenrodt and Bharanidhar Duraisamy and J{\"u}rgen Dickmann and Martin Fritzsche and Bernhard Sick},
  journal={2019 20th International Radar Symposium (IRS)},
  year={2019},
  pages={1-10}
}
  • Nicolas Scheiner, Stefan Haag, +4 authors Bernhard Sick
  • Published 2019
  • Engineering, Computer Science
  • 2019 20th International Radar Symposium (IRS)
  • Baseline generation for tracking applications is a difficult task when working with real world radar data. Data sparsity usually only allows an indirect way of estimating the original tracks as most objects’ centers are not represented in the data. This article proposes an automated way of acquiring reference trajectories by using a highly accurate hand-held global navigation satellite system (GNSS). An embedded inertial measurement unit (IMU) is used for estimating orientation and motion… CONTINUE READING

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