1 citations · 1 across the 2 of their papers we have counts for
5 papers
An Efficient Probabilistic Solution to Mapping Errors in LiDAR-Camera Fusion for Autonomous Vehicles
Dan Shen, Zhengming Zhang, Renran Tian +2
LiDAR-camera fusion is one of the core processes for the perception system of current automated driving systems. The typical sensor fusion process includes a list of coordinate tra…
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 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…