Deep Orange 14 | Research resources

DO-14 Dataset & Research paper are published!

Explore the Deep Orange 14 vehicle dataset and its accompanying research paper. Both resources are publicly available through their respective repositories.

Dataset | Zenodo Deep Orange 14: A Multi-surface Dynamics Dataset for a Full-scale Tracked High-Speed Off-road Autonomous Prototype View dataset ⭷ Research paper | ASME Deep Orange 14: A Full-scale Tracked High-speed Off-road Autonomous Prototype with a Comprehensive Multi-surface Dataset for Dynamics Open article ⭷

About the dataset

Telemetry supports the modeling, validation, and optimization of complex vehicle systems.
The published collection includes vehicle-state information recorded through three acquisition methods

ROS bags
CAN logs
External DAQ sensor data

All data is synchronized, timestamped and packaged into a MATLAB-friendly format (.mat) to facilitate comprehensive analysis with minimal preprocessing.

Citation

Dataset BibTex ⇓
Chhatbar, T., Castanier, M., Barron, M., Figueroa-Santos, M., Gorsich, D., Prucka, R., Paredis, C., & Schmid, M. (2026). Deep Orange 14: A Multi-surface Dynamics Dataset for a Full-scale Tracked High-Speed Off-road Autonomous Prototype [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.22002622
Research paper BibTex ⇓
Chhatbar, T., Castanier, M., Barron, M., Figueroa-Santos, M., Gorsich, D., Prucka, R., Paredis, C., & Schmid, M. (September 15, 2026). “Deep Orange 14: A Full-scale Tracked High-speed Off-road Autonomous Prototype with a Comprehensive Multi-surface Dataset for Dynamics.” ASME Journal of Autonomous Vehicles and Systems. https://doi.org/10.1115/1.4072695