What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving
J Breitenstein, F Heidecker… - Proceedings of the …, 2023 - openaccess.thecvf.com
In safety-critical applications such as automated driving, perception errors may create an
imminent risk to vulnerable road users (VRU). To mitigate the occurrence of unexpected and …
imminent risk to vulnerable road users (VRU). To mitigate the occurrence of unexpected and …
Analysis of motorcycle accident injury severity and performance comparison of machine learning algorithms
Motorcycle road traffic accidents represent a big concern, as vulnerable road users account
for more than half of all road deaths worldwide. The estimation of the influential factors …
for more than half of all road deaths worldwide. The estimation of the influential factors …
Injury severity prediction from two-vehicle crash mechanisms with machine learning and ensemble models
A Ji, D Levinson - IEEE Open Journal of Intelligent …, 2020 - ieeexplore.ieee.org
Machine learning algorithms aim to improve the power of predictors over conventional
regression models. This study aims to tap the predictive potential of crash mechanism …
regression models. This study aims to tap the predictive potential of crash mechanism …
Routine blood tests for severe traumatic brain injury: can they predict outcomes?
RGF Dolmans, AFC Hulsbergen, WB Gormley… - World neurosurgery, 2020 - Elsevier
Objective Outcome prediction in severe traumatic brain injury (sTBI) has been studied using
clinical and radiographic measurements and by using biomarkers such as glial fibrillary …
clinical and radiographic measurements and by using biomarkers such as glial fibrillary …
Machine learning-based injury severity prediction of level 1 trauma center enrolled patients associated with car-to-car crashes in Korea
Injury prediction models enables to improve trauma outcomes for motor vehicle occupants in
accurate decision-making and early transport to appropriate trauma centers. This study aims …
accurate decision-making and early transport to appropriate trauma centers. This study aims …
Data linkage for crash outcome assessment: Linking police-reported crashes, emergency response data, and trauma registry records
Introduction: Traffic crash reports lack detailed information about emergency medical service
(EMS) responses, the injuries, and the associated treatments, limiting the ability of safety …
(EMS) responses, the injuries, and the associated treatments, limiting the ability of safety …
A rare event modelling approach to assess injury severity risk of vulnerable road users
Vulnerable road users (VRUs) represent a large portion of fatalities and injuries occurring on
European Union roads. It is therefore important to address the safety of VRUs, particularly in …
European Union roads. It is therefore important to address the safety of VRUs, particularly in …
An energy loss-based vehicular injury severity model
A Ji, D Levinson - Accident Analysis & Prevention, 2020 - Elsevier
How crashes translate into physical injuries remains controversial. Previous studies
recommended a predictor, Delta-V, to describe the crash consequences in terms of mass …
recommended a predictor, Delta-V, to describe the crash consequences in terms of mass …
Intuition, the Accimap, and the question “why?” Identifying and classifying higher‐order factors contributing to road traffic collisions
Although the physical and environmental factors contributing to road traffic collisions are
often the most straightforward to identify, they may not necessarily be the most useful in …
often the most straightforward to identify, they may not necessarily be the most useful in …
Characteristics and severity of motorcycle crashes resulting in hospitalization in Ho Chi Minh City, Vietnam
HTN Doan, MB Hobday - Traffic injury prevention, 2019 - Taylor & Francis
Objective: This study aims to describe the crash characteristics, injury outcomes, and risk
factors associated with injury severity for motorcycle crashes resulting in hospitalization in …
factors associated with injury severity for motorcycle crashes resulting in hospitalization in …