Ümi̇t Özgüner
Engineering · The Ohio State University
Publications
525
Citations
15,049
Est. group size
~2
Recurring co-author estimate
Active years
53
Publishing since 1973
This researcher works on autonomous and connected vehicles, focusing on safety, control, and decision-making for self-driving cars. Key interests include predicting pedestrian behavior, assessing crash risk, verifying the safety of automated driving systems through simulated scenarios, and applying control theory and reinforcement learning to vehicle motion planning. The work blends classical control engineering with modern machine learning methods for real-world transportation problems.
Publication output was relatively steady through the late 2010s, peaked around 2020, and has declined markedly in recent years, with very few publications in 2023-2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Mitigation Strategy for Navigation Errors in Strict Route Plans
IFAC-PapersOnLine · 2025
- 5 Risk Analysis for Vehicle–Pedestrian Interaction with Extended Sensing
2023
- Umit Ozguner [People in Control]
IEEE Control Systems · 2023
- Lyapunov Stability Regulation of Deep Reinforcement Learning Control with Application to Automated Driving
2023
- Using Collision Momentum in Deep Reinforcement Learning based Adversarial Pedestrian Modeling
2023
- Using Collision Momentum in Deep Reinforcement Learning Based Adversarial Pedestrian Modeling
arXiv (Cornell University) · 2023
- Predicting Pedestrian Crossing Intention With Feature Fusion and Spatio-Temporal Attention
IEEE Transactions on Intelligent Vehicles · 2022
- On the Generalizability of Motion Models for Road Users in Heterogeneous Shared Traffic Spaces
IEEE Transactions on Intelligent Transportation Systems · 2022
- A Finite-Sampling, Operational Domain Specific, and Provably Unbiased Connected and Automated Vehicle Safety Metric
IEEE Transactions on Intelligent Transportation Systems · 2022
- Dynamic and Interpretable State Representation for Deep Reinforcement Learning in Automated Driving
IFAC-PapersOnLine · 2022
- Physics-Based Simulation and Automation of a Load-Haul-Dump Operation for an Articulated Dump Truck
Vehicles · 2022
- A Note of Thanks
IEEE Transactions on Intelligent Vehicles · 2022
- Entropy Based Metric to Assess the Accuracy of PNT Information⋆
IFAC-PapersOnLine · 2022
- Towards Guaranteed Safety Assurance of Automated Driving Systems With Scenario Sampling: An Invariant Set Perspective
IEEE Transactions on Intelligent Vehicles · 2021
- Distributed Extremum-Seeking for Wind Farm Power Maximization Using Sliding Mode Control
Energies · 2021
- arXiv (Cornell University)×18
- IEEE Transactions on Intelligent Vehicles×8
- IFAC-PapersOnLine×5
- IEEE Transactions on Intelligent Transportation Systems×4
- IV×3
- Keith Redmill
Engineering · The Ohio State University
- Bilin Aksun‐Güvenç
Engineering · The Ohio State University
- Jamshir Qureshi
Engineering · Purdue University West Lafayette
- Dan Shen
Engineering · Purdue University West Lafayette
- Lingxi Li
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile