---
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