11 citations · 14 across the 6 of their papers we have counts for
6 papers
Risk assessment and mitigation of e-scooter crashes with naturalistic driving data
Avinash Prabu, Zhengming Zhang, Renran Tian +4
Recently, e-scooter-involved crashes have increased significantly but little information is available about the behaviors of on-road e-scooter riders. Most existing e-scooter crash…
SceNDD: A Scenario-based Naturalistic Driving Dataset
Avinash Prabu, Nitya Ranjan, Lingxi Li +4
In this paper, we propose SceNDD: a scenario-based naturalistic driving dataset that is built upon data collected from an instrumented vehicle in downtown Indianapolis. The data co…
A Method for Crash Prediction and Avoidance Using Hidden Markov Models
Avinash Prabu, Lingxi Li, Brian King +1
In recent years, automotive technology has made a steady progress. In particular, Advanced Driver Assistance System (ADAS) has enabled many safety features in commercial vehicles,…
A Novel Method for Lane-change Maneuver in Urban Driving Using Predictive Markov Decision Process
Avinash Prabu, Niranjan Ravi, Lingxi Li
Lane-change maneuver has always been a challenging task for both manual and autonomous driving, especially in an urban setting. In particular, the uncertainty in predicting the beh…
A Wearable Data Collection System for Studying Micro-Level E-Scooter Behavior in Naturalistic Road Environment
Avinash Prabu, Dan Shen, Renran Tian +4
As one of the most popular micro-mobility options, e-scooters are spreading in hundreds of big cities and college towns in the US and worldwide. In the meantime, e-scooters are als…
Peek into the Future Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles
Avinash Prabu, Renran Tian, Lingxi Li +3
The development of fully autonomous vehicles (AVs) can potentially eliminate drivers and introduce unprecedented seating design. However, highly flexible seat configurations may le…