INSANE releases multiple MAV datasets with cross-environment trajectories, rich multi-IMU and camera suites, high-rate vibration data, and sub-centimeter RTK GNSS ground truth for localization research.
The EuRoC micro aerial vehicle datasets
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
InFlux++ introduces a synthetic training dataset and an extended real-world benchmark for per-frame camera intrinsics estimation, showing that finetuning on synthetic data improves focal length prediction.
citing papers explorer
-
INSANE: Cross-Domain UAV Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators
INSANE releases multiple MAV datasets with cross-environment trajectories, rich multi-IMU and camera suites, high-rate vibration data, and sub-centimeter RTK GNSS ground truth for localization research.
-
InFlux++: Real and Synthetic Data for Estimating Dynamic Camera Intrinsics
InFlux++ introduces a synthetic training dataset and an extended real-world benchmark for per-frame camera intrinsics estimation, showing that finetuning on synthetic data improves focal length prediction.