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Matthew Sivaprakasam

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

7

Venues

2

Active years

2021–2025

Best venue rank

A*

Where they publish

Papers

7 indexed papers, newest first.

YearVenueTitleAuthors
2025ICRABETTY Dataset: A Multi-Modal Dataset for Full-Stack Autonomy.Micah Nye, Ayoub Raji, Andrew Saba, Eidan Erlich, Robert Exley, Aragya Goyal, Alexander Matros, Ritesh Misra, Matthew Sivaprakasam, Marko Bertogna, Deva Ramanan, Sebastian A. Scherer
2025ICRASALON: Self-supervised Adaptive Learning for Off-road Navigation.Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Shubhra Aich, Jeric Lew, Isaiah Adu, Wenshan Wang, Sebastian A. Scherer
2024CoRLVelociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation.Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, David D. Fan, Wenshan Wang, Sebastian A. Scherer
2024ICRATartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks.Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian A. Scherer
2023ICRALearning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation.Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian A. Scherer
2022ICRATartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models.Samuel Triest, Matthew Sivaprakasam, Sean J. Wang, Wenshan Wang, Aaron M. Johnson, Sebastian A. Scherer
2021ICRAImproving Off-road Planning Techniques with Learned Costs from Physical Interactions.Matthew Sivaprakasam, Samuel Triest, Wenshan Wang, Peng Yin, Sebastian A. Scherer