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Autonomous Vehicles

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2025

Beyond Behavior Cloning in Autonomous Driving: a Survey of Closed-Loop Training Techniques

Peter Karkus, Maximilian Igl, Yuxiao Chen, Kashyap Chitta, Jef Packer, Bertrand Douillard, Thomas Tian, Alexander Naumann, Guillermo Garcia-Cobo, Shuhan Tan, Alperen Degirmenci, Alexander Popov, Nikolai Smolyanskiy, Urs Muller, Boris Ivanovic, Marco Pavone

Alpamayo 1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail

Marco Pavone, Many other contributors found on Page 33

World Simulation With Video Foundation Models for Physical AI

Sim2Val: Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation

Rachel Luo, Heng Yang, Michael Watson, Apoorva Sharma, Sushant Veer, Edward Schmerling, Marco Pavone

GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control

Xuanchi Ren, Tianchang Shen, Jiahui Huang, Huan Ling, Yifan Lu, Merlin Nimier-David, Thomas Müller, Alex Keller, Sanja Fidler, Jun Gao

CVPR

Cosmos Transfer 1: World-to-World Transfer with Adaptive Multi-Control for Physical AI

Cosmos-Reason 1: From Physical AI Common Sense to Embodied Decisions

Tsung-Yi Lin, Ming-Yu Liu

NVIDIA Isaac GR00T N1: An Open Foundation Model for Humanoid Robots

Yuke Zhu, Linxi "Jim" Fan, NVIDIA GEAR Team

Cosmos World Foundation Model Platform for Physical AI

Ming-Yu Liu, Many other contributors at https://d1qx31qr3h6wln.cloudfront.net/publications/NVIDIA%20Cosmos_4.pdf, Jing Zhang

2018

Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors

Saurabh Jha, Timothy Tsai, Siva Hari, Michael B. Sullivan, Zbigniew Kalbarczyk, Steve Keckler, Ravishankar K. Iyer

On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach

Nikolai Smolyanskiy, Alexey Kamenev, Stan Birchfield

CVPR