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CMHT Dataset: Driving dataset containing labeled and synchronized Lidar, Radar, IR, Camera, GPS/IMU recordings

Description: Autonomous Driving dataset including camera, IR, Lidar, Radar, and GPS/IMU. This dataset contains fully synchronized and labeled Lidar and Radar point clouds, monocular and IR images, and GPS/IMU data recorded in the city of Hamilton Ontario, under various weather and lighting conditions. The data is available both labeled frame by frame and raw in the form of ROS2 bags for playback. The dataset is intended to be useful for research in the fields of autonomous driving, sensor fusion, computer vision, and signal processing.
Notes: Item exited embargo and became publicly available on 2024-08-16
Authors: Zhang, Howard; McMaster University; ORCID iD 0009-0006-9439-9412
Liu, Ash; McMaster University; ORCID iD 0009-0004-9460-7838
Habibi, Saeid; McMaster University
Mohrenschildt, Martin; McMaster University; ORCID iD 0000-0003-1390-620X
Ahmed, Ryan; McMaster University; ORCID iD 0009-0001-5805-2132
Keywords: Autonomous Driving
Sensor Fusion
Lidar
Radar
IR
Field of Research: 
Electrical engineering, computer engineering, and information engineering
>
Data analytics and signal processing
>
Computer vision in data analytics and signal processing
Publication Date: 2024-08-16
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
URI: https://doi.org/10.20383/103.01024
Geographic Coverage: 
Place Name
Hamilton
City
Hamilton
Province /
Province / Territory
Ontario
Territory
 
Country
Canada

Files in Dataset 
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Access to this dataset is subject to the following terms:
Creative Commons Public Domain Dedication (CC0 1.0) https://creativecommons.org/publicdomain/zero/1.0/
Citation
Zhang, H., Liu, A., Habibi, S., Mohrenschildt, M., Ahmed, R. (2024). CMHT Dataset: Driving dataset containing labeled and synchronized Lidar, Radar, IR, Camera, GPS/IMU recordings. Federated Research Data Repository. https://doi.org/10.20383/103.01024

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