Derives first-principles noise models for FMCW radar and proposes a factor graph estimator that shows superior robustness and accuracy for inertial navigation in simulations and field experiments.
Lidar-level localization with radar? the CFEAR approach to accurate, fast, and robust large-scale radar odometry in diverse environments
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On the Characterization and Limits of 4D Radar for Aided Inertial Navigation
Derives first-principles noise models for FMCW radar and proposes a factor graph estimator that shows superior robustness and accuracy for inertial navigation in simulations and field experiments.