Parv Maheshwari

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Inverse Reinforcement Learning

Laser Range Data

Landmark Recognition

Bayesian Nonparametric

Top Venues

Publications

Shubhra Aich, Wenshan Wang, Parv Maheshwari, Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Jason M. Gregory, John G. Rogers III, Sebastian A. Scherer
Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping. CoRR (2024)
Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian A. Scherer
TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks. ICRA (2024)
Matthew Sivaprakasam, Parv Maheshwari, Mateo Guaman Castro, Samuel Triest, Micah Nye, Steven Willits, Andrew Saba, Wenshan Wang, Sebastian A. Scherer
TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks. CoRR (2024)
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian Scherer
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation. CoRR (2023)
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian A. Scherer
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation. ICRA (2023)
Parv Maheshwari, Wenshan Wang, Samuel Triest, Matthew Sivaprakasam, Shubhra Aich, John G. Rogers III, Jason M. Gregory, Sebastian A. Scherer
PIAug - Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation. CoRR (2023)
Shreya Bhatt, Aayush Jain, Parv Maheshwari, Animesh Jha, Debashish Chakravarty
[Reproducibility Report] Path Planning using Neural A* Search. CoRR (2022)
Rohit Ranjan, Himadri Bhakta, Animesh Jha, Parv Maheshwari, Debashish Chakravarty
[Re] Differentiable Spatial Planning using Transformers. CoRR (2022)
Roopsa Sen, Sidharth Sinha, Parv Maheshwari, Animesh Jha, Debashish Chakravarty
Reproducibility Report: Contrastive Learning of Socially-aware Motion Representations. CoRR (2022)
Shivam Sood, Jaskaran Singh Sodhi, Parv Maheshwari, Karan Uppal, Debashish Chakravarty
Multiple Waypoint Navigation in Unknown Indoor Environments. CoRR (2022)
Dvij Kalaria, Parv Maheshwari, Animesh Jha, Arnesh Kumar Issar, Debashish Chakravarty, Sohel Anwar, Andres Towar
Local NMPC on Global Optimised Path for Autonomous Racing. CoRR (2021)