tesla3_av_rosbags / README.md
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metadata
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.

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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