Network of IMUs, GNSS, EO-IR and LIDAR (https://sites.google.com/view/lager-nigel/home)
Project under LAGER lab to support NASA SBIR efforts
Generation of public dataset to leverage research in robust SLAM solution utilizing thermal cameras as exteroceptive sensors. This project involve:
Development of custom UVC-based camera loggers, LIDAR logger, IMU and GNSS logger using C++ and Python to ensure data rate consistency
Development of custom PCB to breakout camera electrical interface and custom camera hardware synchronization board that also discipline the pulses train to PPS
Intrinsics and extrinsic calibration of camera (thermal and optical), LIDAR, IMUs and GNSS antenna position using Kalibr, LVT2, allan deviation analysis and Optitrack system
Groundtruth generation via development of 15-state ES-EKF for INS/GNSS fusion between tactical grade IMU and three GNSS with RTK moving baseline configuration
Publication
T. D. Luong, A. Q. Markin, and J. D. Larson, “Dataset for Fusion of Stereo Thermal, Optical, Scanning Mirror LiDAR, and Inertial Sensors for Navigation in Urban and Unstructured Environments,” in 2025 IEEE/ION Position, Location, And Navigation Symposium (PLANS), May 2025, accepted
Sensor rig mounted on vehicle platform
Sensor pose visualization
Snapshot from dataset