Create README.md

README.md

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+---
+license: mit
+task_categories:
+- object-detection
+tags:
+- rosbag
+- ros2
+- lidar
+- vehicle
+- car
+- canbus
+- autonomous_vehicles
+pretty_name: tesla3_av_rosbags
+size_categories:
+- 100M<n<1B
+---
+
+
+# Tesla Model 3 ROS Data Repository
+
+## Overview
+This repository contains a collection of ROS bag files (in MCAP format) and video streams from a Tesla Model 3 vehicle. It includes data from multiple runs, featuring a variety of sensors such as VLP-16 LiDAR, CAN bus signals, GPS, a 9-axis IMU, and four camera streams.
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/655b5b5386fbe7506e2d5feb/YqM5I0xWQlDtVDEl5nPCK.png)
+
+
+## Dataset Description
+
+The data is organized into multiple runs, each containing synchronized streams from the following sensors:
+
+ * VLP-16 LiDAR: 3D point cloud data capturing the vehicle's surroundings.
+ * CAN Bus: Vehicle's internal communication data including speed, steering angle, and more.
+ * GPS: Geolocation data showing the vehicle's position.
+ * 9-Axis IMU: Inertial data providing acceleration, orientation, and gyroscope measurements.
+ * Camera Streams: Four video streams capturing front, rear, and side views.
+
+
+# License
+This project is licensed under the MIT License - see the LICENSE file for details.
+
+# Contact
+For any queries or issues, please open an issue in the repository, or contact me directly at tfoldi@starschema.com