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Datasets:
tfoldi
/
tesla3_av_rosbags

Tasks:
Object Detection
Size Categories:
100M<n<1B
Tags:
rosbag
ros2
lidar
vehicle
car
canbus
License:
Dataset card Files Community
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    DataFilesNotFoundError
Message:      No (supported) data files found in tfoldi/tesla3_av_rosbags
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1840, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1821, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1215, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 591, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in tfoldi/tesla3_av_rosbags

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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

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

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