Matthew Sivaprakasam

16 papers A* 6Misc 1Journal 9
YearRankTypeTitle / Venue / Authors
2025 A* conf
BETTY Dataset: A Multi-Modal Dataset for Full-Stack Autonomy.
ICRA
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
2025 J jnl
BETTY Dataset: A Multi-modal Dataset for Full-Stack Autonomy.
CoRR
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
2025 A* conf
SALON: Self-supervised Adaptive Learning for Off-road Navigation.
ICRA
Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Shubhra Aich, Jeric Lew, Isaiah Adu, Wenshan Wang, Sebastian A. Scherer
2024 J jnl
Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping.
CoRR
Shubhra Aich, Wenshan Wang, Parv Maheshwari, Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Jason M. Gregory, John G. Rogers III, Sebastian A. Scherer
2024 J jnl
Fast and Modular Autonomy Software for Autonomous Racing Vehicles.
CoRR
Andrew Saba, Aderotimi Adetunji, Adam Johnson, Aadi Kothari, Matthew Sivaprakasam, Joshua Spisak, Prem Bharatia, Arjun Chauhan, Brendan Duff Jr., Noah Gasparro, Charles King, Ryan Larkin, Brian Mao, Micah Nye, Anjali Parashar, Joseph Attias, Aurimas Balciunas, Austin Brown, Chris Chang, Ming Gao, Cindy Heredia, Andrew Keats, Jose Lavariega, William Muckelroy III, Andre Slavescu, Nickolas Stathas, Nayana Suvarna, Chuan Tian Zhang, Sebastian A. Scherer, Deva Ramanan
2024 J jnl
Fast and Modular Autonomy Software for Autonomous Racing Vehicles.
Field Robotics
Andrew Saba, Aderotimi Adetunji, Adam Johnson, Aadi Kothari, Matthew Sivaprakasam, Joshua Spisak, Prem Bharatia, Arjun Chauhan, Brendan Duff Jr., Noah Gasparro, Charles King, Ryan Larkin, Brian Mao, Micah Nye, Anjali Parashar, Joseph Attias, Aurimas Balciunas, Austin Brown, Chris Chang, Ming Gao, Cindy Heredia, Andrew Keats, Jose Lavariega, William Muckelroy III, Andre Slavescu, Nickolas Stathas, Nayana Suvarna, Chuan Tian Zhang, Sebastian A. Scherer, Deva Ramanan
2024 J jnl
SALON: Self-supervised Adaptive Learning for Off-road Navigation.
CoRR
Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Shubhra Aich, Jeric Lew, Isaiah Adu, Wenshan Wang, Sebastian A. Scherer
2024 A* conf
TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks.
ICRA
Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian A. Scherer
2024 J jnl
TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks.
CoRR
Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian A. Scherer
2024 Misc conf
Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation.
CoRL
Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, David D. Fan, Wenshan Wang, Sebastian A. Scherer
2023 A* conf
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation.
ICRA
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian A. Scherer
2023 J jnl
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation.
CoRR
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian A. Scherer
2023 J jnl
PIAug - Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation.
CoRR
Parv Maheshwari, Wenshan Wang, Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, John G. Rogers III, Jason M. Gregory, Sebastian A. Scherer
2022 A* conf
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models.
ICRA
Samuel Triest, Matthew Sivaprakasam, Sean J. Wang, Wenshan Wang, Aaron M. Johnson, Sebastian A. Scherer
2022 J jnl
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models.
CoRR
Samuel Triest, Matthew Sivaprakasam, Sean J. Wang, Wenshan Wang, Aaron M. Johnson, Sebastian A. Scherer
2021 A* conf
Improving Off-road Planning Techniques with Learned Costs from Physical Interactions.
ICRA
Matthew Sivaprakasam, Samuel Triest, Wenshan Wang, Peng Yin, Sebastian A. Scherer