Custom Dataset for ARTI-VIO

This dataset is designed for evaluating ARTI-VIO, an asynchronous multi-camera visual-inertial odometry framework. The dataset includes: ROS Bags: Raw image data from multiple cameras, synchronized with IMU measurements, suitable for testing visual-inertial odometry algorithms. Ground Truth: High-precision ground truth trajectory data, captured with a motion capture system, providing accurate pose estimates for benchmarking. Camera and IMU Calibration Parameters: Calibration files for both the cameras and IMU, ensuring proper synchronization and accurate sensor fusion for VIO applications.