3 papers
cs.RO2022
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…
eess.SY2022
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,…
eess.SY2022
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…