Keith Redmill
Engineering · The Ohio State University
Publications
137
Citations
2,690
Est. group size
~2
Recurring co-author estimate
Active years
42
Publishing since 1985
Keith Redmill's research focuses on the safety and reliability of automated and connected vehicles, including how self-driving systems detect road signs, follow traffic rules, and behave safely around other vehicles and pedestrians. His work combines traffic engineering, sensor data analysis, and computational methods to evaluate and improve driver-assistance and autonomous vehicle systems. Recent projects include camera-based road sign and speed limit detection, adversarial testing of autonomous vehicle safety, and reconstructing driving behavior from traffic data.
Publication output has fluctuated over the past decade, peaking around 2020-2021, dipping in 2022-2024, and rising again in 2025, suggesting a variable but ongoing research pace rather than a steady linear trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Aligning Microscopic Vehicle and Macroscopic Traffic Statistics: Reconstructing Driving Behavior from Partial Data
arXiv (Cornell University) · 2026
- Aligning Microscopic Vehicle and Macroscopic Traffic Statistics: Reconstructing Driving Behavior from Partial Data
Open MIND · 2026
- SignRAG: A Retrieval-Augmented System for Scalable Zero-Shot Road Sign Recognition
arXiv (Cornell University) · 2025
- Training Adversarial Yet Safe Agent to Characterize the Safety Performance of Highly Automated Vehicles
2024
- Training Adversarial yet Safe Agent to Characterize Safety Performance of Highly Automated Vehicles
arXiv (Cornell University) · 2024
- Enhancing Digital Speed Limit Detection in Work Zones: A Camera-Based Approach with Multi-Frame Processing
2024
- Transit Bus Left Side Camera Video Traffic Monitoring Dataset
Zenodo (CERN European Organization for Nuclear Research) · 2023
- Transit Bus Left Side Camera Video Traffic Monitoring Dataset
Zenodo (CERN European Organization for Nuclear Research) · 2023
- On the Validation of Adversarial Threats to Cooperative Unmanned Aerial Systems for Search and Rescue Missions
2023
- A Formal Safety Characterization of Advanced Driver Assist Systems in the Car-Following Regime with Scenario-Sampling
arXiv (Cornell University) · 2022
- A Formal Safety Characterization of Advanced Driver Assist Systems in the Car-Following Regime with Scenario-Sampling
IFAC-PapersOnLine · 2022
- Methodology for Hazard Identification and Mitigation Strategies Applied to an Overtaking Assistant ADAS
2021
- An Online Evolving Method For a <i>Safe</i> and <i>Fast</i> Automated Vehicle Control System
IEEE Transactions on Systems Man and Cybernetics Systems · 2021
- arXiv (Cornell University)×22
- IEEE Transactions on Intelligent Vehicles×3
- Sensors×2
- IEEE Transactions on Intelligent Transportation Systems×2
- IFAC-PapersOnLine×2
- Sikai Chen
Engineering · Purdue University West Lafayette
- Lingxi Li
Engineering · Purdue University West Lafayette
- Yaobin Chen
Engineering · Indiana University
- Vamsi Krishna Bandaru
Engineering · Purdue University West Lafayette
- Şükrü Yaren Gelbal
Engineering · The Ohio State University
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.
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