11 citations · 14 across the 5 of their papers we have counts for
6 papers
A New Scoring Method for the Evaluation of Vehicle Road Departure Detection Systems
Dan Shen, Lingxi Li, Stanley Chien +2
Road departure detection systems (RDDSs) for eliminating unintentional road departure collisions have been developed and equipped on some commercial vehicles in recent years. In or…
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 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…
PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions
Taotao Jing, Tina Chen, Renran Tian +5
Accurately modeling pedestrian intention and understanding driver decision-making processes are critical for the development of safe and socially aware autonomous driving systems.…