Monocular Inertial Visual Object Tracking (MIVOT)

The Monocular Inertial Visual Object Tracking (MIVOT) dataset is a novel dataset designed for 3D object detection and tracking from monocular and inertial inputs, specifically for dynamic environments like UAV applications. It includes synchronized RGB, inertial data, and ground truth depth annotations recorded with a RealSense D455i and Ouster OS0 LiDAR, simulating UAV perspectives with challenging scenarios such as bird's-eye views and dynamic movements, making it suitable for evaluating advanced object detection and tracking frameworks.