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.
nanoflann: a C++ header-only fork of FLANN, a library for nearest neighbor (NN) with kd-trees,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.