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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 |