Renran Tian
Engineering · Purdue University West Lafayette
Publications
88
Citations
668
Est. group size
~2
Recurring co-author estimate
Active years
20
Publishing since 2007
Renran Tian works on how self-driving vehicles and other automated systems perceive, predict, and interact with people, especially pedestrians and drivers. This includes building AI models that anticipate pedestrian crossing behavior, detect road users like e-scooter riders, and generate human-understandable explanations for autonomous driving decisions. The work combines computer vision, machine learning, and human-factors methods to study safety and trust in human-automation interaction.
Publication output has grown from a handful of papers per year in 2017-2018 to a sustained higher level (roughly 5-12 papers annually) from 2019 onward, indicating a generally increasing and steady pace of activity over the last decade.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Matching Explanation Detail to Scene Complexity: Studying Situational Awareness-Specific Feedback in Pedestrian Encounter Driving Scenarios
2026
- The Social Aptitude of AI: Quantifying and Assessing Driving Automation-Pedestrian Interactions
International Journal of Human-Computer Interaction · 2026
- VLMs Guided Interpretable Decision Making for Autonomous Driving <sup>*</sup>
2026
- IEEE ITSS Technical Committee on Human-Centered Artificial Intelligence in Transportation [ITS Technical Committees]
IEEE Intelligent Transportation Systems Magazine · 2026
- From Pixels to Paths: Pedestrian Trajectory Prediction Beyond Benchmarks
Lecture notes in computer science · 2026
- When Do They Cross? Temporal Dynamics of Pedestrian Intention Prediction and Crossing Actions
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2025
- VLMs Guided Interpretable Decision Making for Autonomous Driving
arXiv (Cornell University) · 2025
- Exploring Collective Theory of Mind on Pedestrian Behavioral Intentions
2024
- MindReaD: Enhancing Pedestrian-Vehicle Interaction with Micro-Level Reasoning Data Annotation
International Journal of Human-Computer Interaction · 2024
- Improving Human Connections and Audience Satisfaction in Online Concerts and Music Conferences
Computer Music Journal · 2023
- InAction: Interpretable Action Decision Making for Autonomous Driving
Lecture notes in computer science · 2022
- Modeling Pedestrian Situated Intent in Dynamic Driving Scenes from the Driver's Perspective
SSRN Electronic Journal · 2022
- Visual Reasoning using Graph Convolutional Networks for Predicting Pedestrian Crossing Intention
2021
- A Survey on Deep-Learning Methods for Pedestrian Behavior Prediction from the Egocentric View
2021
- Detection of E-scooter Riders in Naturalistic Scenes
arXiv (Cornell University) · 2021
- Lecture notes in computer science×10
- arXiv (Cornell University)×7
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting×5
- International Journal of Human-Computer Interaction×3
- IEEE Transactions on Intelligent Vehicles×2
- Zheng Wang
Engineering · The Ohio State University
- Yaobin Chen
Engineering · Indiana University
- Stanley Chien
Engineering · Purdue University West Lafayette
- Keith Redmill
Engineering · The Ohio State University
- Sikai Chen
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 20, 2026.
Claim or correct this profile