TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks-Reference-Cited by-同舟云学术

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TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks

Published:2024-05-13 Issue: Volume:164 Page:12606-12606
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Sivaprakasam Matthew¹,Maheshwari Parv²,Castro Mateo Guaman¹,Triest Samuel¹,Nye Micah³,Willits Steve¹,Saba Andrew¹,Wang Wenshan¹,Scherer Sebastian¹

Affiliation:

1. Carnegie Mellon University,Robotics Institute

2. Indian Institute of Technology Kharagpur,Department of Mathematics

3. University of Pittsburgh,Department of Mechanical Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611265.pdf?arnumber=10611265

Reference41 articles.

1. Scalability in Perception for Autonomous Driving: Waymo Open Dataset

2. Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset

3. nuScenes: A Multimodal Dataset for Autonomous Driving

4. Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking

5. TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models

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