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Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
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(15)
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(17)
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(8)
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(5)
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(3)
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(2)
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Autonomous Vehicles
(54)
Artificial Intelligence and Machine Learning
(25)
Resilience and Safety
(25)
Computer Vision
(18)
Robotics
(5)
Applied Perception
(4)
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(4)
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(4)
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(9)
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54 results found
Autonomous Vehicles
Clear all
Autonomous Vehicles
2025
Cosmos World Foundation Model Platform for Physical AI
Ming-Yu Liu
, Many other contributors at https://d1qx31qr3h6wln.cloudfront.net/publications/NVIDIA%20Cosmos_4.pdf
2024
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models
Alexander Popov, Alperen Degirmenci, David Wehr, Shashank Hegde , Ryan Oldja, Alexey Kamenev, Bertrand Douillard, David Nistér, Urs Muller, Ruchi Bhargava,
Stan Birchfield
, Nikolai Smolyanskiy
Real-Time Anomaly Detection and Reactive Planning with Large Language Models
Rohan Sinha, Amine Elhafsi, Christopher Agia, Matthew Foutter, Edward Schmerling,
Marco Pavone
RSS
2023
Learning for CasADi: Data-driven Models in Numerical Optimization
Tim Salzmann, Jon Arrizabalaga, Joel Andersson,
Marco Pavone
, Markus Ryll
Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility
Kai-Chieh Hsu,
Karen Leung
,
Yuxiao Chen
, Jaime Fernandez Fisac,
Marco Pavone
IROS
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles
Pasquale Antonante,
Sushant Veer
,
Karen Leung
,
Xinshuo Weng
, Luca Carlone,
Marco Pavone
RSS
Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition
Sever Topan,
Yuxiao Chen
,
Ed Schmerling
,
Karen Leung
, Jonas Nilsson, Michael Cox,
Marco Pavone
Learning Autonomous Vehicle Safety Concepts from Demonstrations
Karen Leung
,
Sushant Veer
,
Edward Schmerling
,
Marco Pavone
Tree-structured Policy Planning with Learned Behavior Models
Yuxiao Chen
,
Peter Karkus
,
Boris Ivanovic
,
Xinshuo Weng
,
Marco Pavone
ICRA
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles
Sushant Veer
,
Karen Leung
, Ryan Cosner,
Yuxiao Chen
,
Marco Pavone
ICRA
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models
Filippos Christianos,
Peter Karkus
,
Boris Ivanovic
, Stefano V. Albrecht,
Marco Pavone
ICRA
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe,
Danfei Xu
,
Yuxiao Chen
,
Sushant Veer
,
Gerry Che
, Baishakhi Ray,
Marco Pavone
ICRA
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning
Boris Ivanovic
, James Harrison,
Marco Pavone
ICRA
BITS: Bi-level Imitation for Traffic Simulation
Danfei Xu
,
Yuxiao Chen
,
Boris Ivanovic
,
Marco Pavone
ICRA
Semantic Anomaly Detection with Large Language Models
Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa Nesnas,
Marco Pavone
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
Wenhao Ding, Tong Che, Ding Zhao,
Marco Pavone
ICML
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles
Pasquale Antonante,
Sushant Veer
,
Karen Leung
,
Xinshuo Weng
, Luca Carlone,
Marco Pavone
RSS
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
Heng Yang
,
Marco Pavone
CVPR
2022
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles
Alec Farid,
Sushant Veer
,
Boris Ivanovic
,
Karen Leung
,
Marco Pavone
CORL
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
Peter Karkus
,
Boris Ivanovic
,
Shie Mannor
,
Marco Pavone
CORL
Robust Trajectory Prediction against Adversarial Attacks
Yulong Cao
,
Danfei Xu
,
Xinshuo Weng
, Z. Morely Mao, Anima Anandkumar,
Chaowei Xiao
,
Marco Pavone
CORL
Selected for Oral Presentation
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
Boris Ivanovic
, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Adrien Gaidon,
Marco Pavone
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
Yulong Cao
,
Chaowei Xiao
, Anima Anandkumar,
Danfei Xu
,
Marco Pavone
ECCV
Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang Zhang, Tong Che,
Boris Ivanovic
, Renhao Wang,
Marco Pavone
, Yoshua Bengio, Liam Paull
ICLR
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning
Boris Ivanovic
, James Harrison, Marco Pavone
ICRA
Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles
Yu-Shun Hsiao,
Siva Hari
, Michał Filipiuk, Timothy Tsai,
Michael B. Sullivan
, Vijay Janapa Reddi, Vasu Singh,
Steve Keckler
Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems
Saurabh Jha, Shengkun Cui, Timothy Tsai,
Siva Hari
,
Michael B. Sullivan
, Zbigniew T. Kalbarczyk,
Steve Keckler
, Ravishankar K. Iyer
Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-Based Prediction
Xinshuo Weng
,
Boris Ivanovic
, Kris Kitani,
Marco Pavone
CVPR
ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning
Yuxiao Chen
,
Boris Ivanovic
,
Marco Pavone
Injecting Planning-Awareness into Prediction and Detection Evaluation
Boris Ivanovic
,
Marco Pavone
MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation
Xinshuo Weng
,
Boris Ivanovic
,
Marco Pavone
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation
Sever Topan,
Karen Leung
,
Yuxiao Chen
, Pritish Tupekar,
Edward Schmerling
, Jonas Nilsson, Michael Cox,
Marco Pavone
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