A Method for Crash Prediction and Avoidance Using Hidden Markov Models. - Avinash Prabu; Lingxi Li 001; Brian King; Yaobin Chen (SOLI, 2019)

Peek into the Future Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles. - Avinash Prabu; Renran Tian; Lingxi Li 001; Jialiang Le; Srinivasan Sundararajan; Saeed Barbat (ITSC, 2021)

SceNDD: A Scenario-based Naturalistic Driving Dataset. - Avinash Prabu; Nitya Ranjan; Lingxi Li 001; Renran Tian; Stanley Y. P. Chien; Yaobin Chen; Rini Sherony (ITSC, 2022)

A Wearable Data Collection System for Studying Micro-Level E-Scooter Behavior in Naturalistic Road Environment. - Avinash Prabu; Dan Shen; Renran Tian; Stanley Y. P. Chien; Lingxi Li 001; Yaobin Chen; Rini Sherony (CoRR, 2022)

A Novel Method for Lane-change Maneuver in Urban Driving Using Predictive Markov Decision Process. - Avinash Prabu; Niranjan Ravi; Lingxi Li 001 (CoRR, 2022)

Risk assessment and mitigation of e-scooter crashes with naturalistic driving data. - Avinash Prabu; Renran Tian; Stanley Y. P. Chien; Lingxi Li 001; Yaobin Chen; Rini Sherony (CoRR, 2022)

Data-driven Deep Reinforcement Learning for Automated Driving. - Avinash Prabu; Lingxi Li 001; Yaobin Chen; Brian King (ITSC, 2023)