Safety

Autonomous Driving: Introduction, Technologies, and the Planning Problem

Introduction to the Autonomous Driving Stack and RL for Motion Selection in Planning.

Aug 16, 2025 4:00 PM 2025 IT Picnic

Aleksandr Petiushko Александр Петюшко

Autonomous Driving: Introduction, Technologies, and the Planning Problem

Uncertainty and Safety In Autonomous Driving

How we tackled the problems of Uncertainty and Safety on the Behavior side at Nuro.

Jun 11, 2025 9:00 AM 2025 CVPR UQCV Workshop

Aleksandr Petiushko Александр Петюшко

Uncertainty and Safety In Autonomous Driving

Intelligent Mapping Solutions

AI-based Mapping solutions for Middle Mile.

Mar 4, 2025 8:20 AM 2025 WACV COOOL Challenge and Workshop

Aleksandr Petiushko Александр Петюшко

Intelligent Mapping Solutions

SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models

Integration of Position-Dependent Cross-Entropy loss function, Markov Logic Network, and Multimodal RAG with Vision Language Model (VLM), for achieving SotA results on Autonomous Driving benchmarks.

Jiawei Zhang, Xuan Yang, Taiqi Wang, Yu Yao, Aleksandr Petiushko Александр Петюшко, Bo Li

SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models

DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles

A guided diffusion-based scenario generation for safety-critical and realistic scenarios.

Chejian Xu, Aleksandr Petiushko Александр Петюшко, Ding Zhao, Bo Li

Middle Mile and Foundation Models

What is Middle Mile, and how it is related to Foundation Models, its advantages and challenges.

Sep 24, 2024 10:20 AM 2024 ITSC FMAD Workshop

Aleksandr Petiushko Александр Петюшко

Combining IMitation and Reinforcement Learning for Safe Autonomous Driving

The story of Nuro’s Research efforts in Planning // How to combine two distinct worlds - Imitation and Reinforcement Learning.

Jun 18, 2024 11:30 AM 2024 CVPR DDADS Workshop

Aleksandr Petiushko Александр Петюшко

Combining IMitation and Reinforcement Learning for Safe Autonomous Driving

CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving

A novel approach to bring two worlds - Imitation and Reinforcement Learning - together for Safe Planning.

Jonathan Booher, Khashayar Rohanimanesh, Junhong Xu, Aleksandr Petiushko Александр Петюшко

Multi-Constraint Safe RL with Objective Suppression for Safety-Critical Applications

A novel approach to tackle the multiple constraints challenge in Safe RL.

Zihan Zhou, Jonathan Booher, Wei Liu, Aleksandr Petiushko Александр Петюшко, Animesh Garg

Autonomous Driving: From Basics to Behavior Challenges

Overview of the Autonomy Stack and the problems of its Behavior side.

Jul 13, 2023 12:00 AM HSE Industrial Webinars

Aleksandr Petiushko Александр Петюшко

Autonomous Driving: From Basics to Behavior Challenges