TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models. Triest, S., Sivaprakasam, M., Wang, S. J., Wang, W., Johnson, A. M., & Scherer, S. In IEEE Intl.\ Conference on Robotics and Automation, pages 2546–2552, Philadelphia, PA, May, 2022. Pdf Video Dataset Doi bibtex 11 downloads @inproceedings{paper:triest-tartandrive-2022,
author = {Samuel Triest and Matthew Sivaprakasam and Sean J. Wang and Wenshan Wang and Aaron M. Johnson and Sebastian Scherer},
title = {{TartanDrive}: {A} Large-Scale Dataset for Learning Off-Road Dynamics Models},
booktitle = {IEEE Intl.\ Conference on Robotics and Automation},
month = {May},
year = {2022},
pages = {2546--2552},
address = {Philadelphia, PA},
keywords = {Learning, Modeling, Hill Climbing},
url_PDF = {https://arxiv.org/pdf/2205.01791},
url_Video = {https://www.youtube.com/watch?v=wgAD7T6dKEE},
url_Dataset = {https://github.com/castacks/tartan_drive},
url_DOI = {https://doi.org/10.1109/ICRA46639.2022.9811648}
}
Downloads: 11
{"_id":"DbLSHNpeTdaJvA4kE","bibbaseid":"triest-sivaprakasam-wang-wang-johnson-scherer-tartandrivealargescaledatasetforlearningoffroaddynamicsmodels-2022","author_short":["Triest, S.","Sivaprakasam, M.","Wang, S. J.","Wang, W.","Johnson, A. M.","Scherer, S."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Samuel"],"propositions":[],"lastnames":["Triest"],"suffixes":[]},{"firstnames":["Matthew"],"propositions":[],"lastnames":["Sivaprakasam"],"suffixes":[]},{"firstnames":["Sean","J."],"propositions":[],"lastnames":["Wang"],"suffixes":[]},{"firstnames":["Wenshan"],"propositions":[],"lastnames":["Wang"],"suffixes":[]},{"firstnames":["Aaron","M."],"propositions":[],"lastnames":["Johnson"],"suffixes":[]},{"firstnames":["Sebastian"],"propositions":[],"lastnames":["Scherer"],"suffixes":[]}],"title":"TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models","booktitle":"IEEE Intl.\\ Conference on Robotics and Automation","month":"May","year":"2022","pages":"2546–2552","address":"Philadelphia, PA","keywords":"Learning, Modeling, Hill Climbing","url_pdf":"https://arxiv.org/pdf/2205.01791","url_video":"https://www.youtube.com/watch?v=wgAD7T6dKEE","url_dataset":"https://github.com/castacks/tartan_drive","url_doi":"https://doi.org/10.1109/ICRA46639.2022.9811648","bibtex":"@inproceedings{paper:triest-tartandrive-2022,\n author = {Samuel Triest and Matthew Sivaprakasam and Sean J. Wang and Wenshan Wang and Aaron M. Johnson and Sebastian Scherer},\n title = {{TartanDrive}: {A} Large-Scale Dataset for Learning Off-Road Dynamics Models},\n booktitle = {IEEE Intl.\\ Conference on Robotics and Automation},\n month = {May},\n year = {2022},\n pages = {2546--2552},\n address = {Philadelphia, PA},\n keywords = {Learning, Modeling, Hill Climbing},\n url_PDF = {https://arxiv.org/pdf/2205.01791},\n url_Video = {https://www.youtube.com/watch?v=wgAD7T6dKEE},\n url_Dataset = {https://github.com/castacks/tartan_drive},\n url_DOI = {https://doi.org/10.1109/ICRA46639.2022.9811648}\n}\n\n","author_short":["Triest, S.","Sivaprakasam, M.","Wang, S. J.","Wang, W.","Johnson, A. M.","Scherer, S."],"key":"paper:triest-tartandrive-2022","id":"paper:triest-tartandrive-2022","bibbaseid":"triest-sivaprakasam-wang-wang-johnson-scherer-tartandrivealargescaledatasetforlearningoffroaddynamicsmodels-2022","role":"author","urls":{" pdf":"https://arxiv.org/pdf/2205.01791"," video":"https://www.youtube.com/watch?v=wgAD7T6dKEE"," dataset":"https://github.com/castacks/tartan_drive"," doi":"https://doi.org/10.1109/ICRA46639.2022.9811648"},"keyword":["Learning","Modeling","Hill Climbing"],"metadata":{"authorlinks":{}},"downloads":11},"bibtype":"inproceedings","biburl":"http://www.andrew.cmu.edu/user/amj1/johnson.bib","dataSources":["rLzbZT8cMzWQFZjA8","Na752qjhAjNeHcweW","xjwzWFcjfQ2XoJAjH","XrStA4Q8W4QuX7Tot"],"keywords":["learning","modeling","hill climbing"],"search_terms":["tartandrive","large","scale","dataset","learning","road","dynamics","models","triest","sivaprakasam","wang","wang","johnson","scherer"],"title":"TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models","year":2022,"downloads":11}