most citedRisk assessment and mitigation of e-scooter crashes with naturalistic driving data

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023

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…

eess.SY2023

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…

cs.HC2023

A systematic review of safety-critical scenarios between automated vehicles and vulnerable road users

Aditya Deshmukh, Zifei Wang, Aaron Gunn +6

Automated vehicles (AVs) are of great potential in reducing crashes on the road. However, it is still complicated to eliminate all the possible accidents, especially those with vul…

eess.SY20231 cited

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…

cs.CL2022

Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data

Jackie Ayoub, Zifei Wang, Meitang Li +4

Advanced driver assistance systems (ADAS) are designed to improve vehicle safety. However, it is difficult to achieve such benefits without understanding the causes and limitations…