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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
Robotics
All Areas
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2023
(10)
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(14)
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(6)
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(3)
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(1)
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Autonomous Vehicles
(39)
Resilience and Safety
(25)
Artificial Intelligence and Machine Learning
(24)
Computer Vision
(13)
Computer Architecture
(4)
Generative AI
(3)
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(1)
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(1)
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CORL
(3)
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(1)
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(1)
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(7)
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(1)
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(1)
39 results found
Autonomous Vehicles
Clear all
Autonomous Vehicles
2023
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
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
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
Propagating State Uncertainty Through Trajectory Forecasting
Boris Ivanovic
, Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty,
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
2021
Suraksha: A Framework to Analyze the Safety Implications of Perception Design Choices in AVs
Hengyu Zhao,
Siva Hari
, Timothy Tsai,
Michael B. Sullivan
,
Steve Keckler
, Jishen Zhao
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi,
Siva Hari
,
Iuri Frosio
, Timothy Tsai, Alejandro Troccoli,
Steve Keckler
, Siddharth Garg, Anima Anandkumar
Suraksha: A Quantitative AV Safety Evaluation Framework to Analyze Safety Implications of Perception Design Choices
Hengyu Zhao,
Siva Hari
, Timothy Tsai,
Michael B. Sullivan
,
Steve Keckler
, Jishen Zhao
Binary TTC: A Temporal Geofence for Autonomous Navigation
Abhishek Badki
,
Orazio Gallo
,
Jan Kautz
, Pradeep Sen
Best Student Paper Honorable Mention, CVPR 2021
Simulation Driven Design and Test for Safety of AI Based Autonomous Vehicles
Vasu Singh,
Siva Hari
, Timothy Tsai, Mandar Pitale
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi,
Siva Hari
,
Iuri Frosio
, Timothy Tsai, Alejandro Troccoli,
Steve Keckler
, Siddharth Garg, Anima Anandkumar
2020
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Zahra Ghodsi,
Siva Hari
,
Iuri Frosio
, Timothy Tsai, Alejandro Troccoli,
Steve Keckler
, Siddharth Garg, Anima Anandkumar
AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems
Guangpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai,
Michael B. Sullivan
,
Siva Hari
, Zbigniew Kalbarczyk, Ravishankar Iyer
Best Paper award
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