rosbag2_2024_07_19_11_01_37 Dataset

**Abstract**

This dataset, `rosbag2_2024_07_19_11_01_37`, captures comprehensive sensor and operational data from an autonomous vehicle during a 43.89-minute session. It contains over 53,000 messages across more than 100 topics, including time-synchronized camera images, LiDAR point clouds, IMU readings, velocity commands, and odometry information. The dataset is provided in ROS 2's `MCAP` format, which ensures efficient data storage and easy retrieval. This dataset is highly valuable for researchers in autonomous driving, robotics, and sensor fusion, providing real-world data for tasks such as object detection, motion planning, and navigation. The captured data can be replayed, analyzed, and processed using ROS 2 tools, offering flexibility for both real-time and post-processing analysis. By providing a robust multi-modal dataset, this resource facilitates research in developing and testing algorithms for autonomous systems, including machine learning applications, perception modules, and control systems.