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Drive analysis using vehicle dynamics and vision-based lane semantics
Naturalistic driving studies (NDSs) capture large volumes of drive data from multiple sensor
modalities, which are analyzed for critical information about driver behavior and driving …
modalities, which are analyzed for critical information about driver behavior and driving …
Integrating driving behavior and traffic context through signal symbolization for data reduction and risky lane change detection
A novel method for integrating driving behavior and traffic context through signal
symbolization is presented in this paper. This symbolization framework is proposed as a …
symbolization is presented in this paper. This symbolization framework is proposed as a …
[HTML][HTML] Predicting downgrade crash frequency with the random-parameters negative binomial model: Insights into the impacts of geometric variables on downgrade …
Road deaths, injuries and property damage place a huge burden on the economy of most
nations. Wyoming has a high crash rate on mountain passes. The crash rates observed in …
nations. Wyoming has a high crash rate on mountain passes. The crash rates observed in …
Screening naturalistic driving study data for safety-critical events
KF Wu, PP Jovanis - Transportation research record, 2013 - journals.sagepub.com
This study responds to the need to screen events observed during naturalistic driving
studies to derive a set of crashes and near crashes with common etiologies; these crashes …
studies to derive a set of crashes and near crashes with common etiologies; these crashes …
Integrating driving behavior and traffic context through signal symbolization
This paper presents a novel method for integrating driving behavior and traffic context
through signal symbolization in order to summarize driving semantics from sensor outputs …
through signal symbolization in order to summarize driving semantics from sensor outputs …
Drive analysis using lane semantics for data reduction in naturalistic driving studies
Naturalistic driving studies (NDS) provide critical information about driving behaviors and
characteristics that could lead to crashes and near-crashes. Such studies involve analysis of …
characteristics that could lead to crashes and near-crashes. Such studies involve analysis of …
Towards automated drive analysis: A multimodal synergistic approach
Naturalistic driving studies (NDS) capture huge amounts of drive data, that is analyzed for
critical information about driver behavior, driving characteristics etc. Moreover, NDS involve …
critical information about driver behavior, driving characteristics etc. Moreover, NDS involve …
Identification of Dangerous Driving Behaviour Using Naturalistic Driving Data
AH Shaon - 2019 - mediatum.ub.tum.de
Road accidents are one of the most predominant factors for deaths throughout the world.
With the inclusion of several driver assistance systems, intelligent vehicles are becoming …
With the inclusion of several driver assistance systems, intelligent vehicles are becoming …