Traffic conflicts and their contextual factors when riding conventional vs. electric bicycles
The prevalence of electric bicycles (e-bikes) has increased considerably in the past few
years. Because of their potential to reach higher speeds than conventional bicycles …
years. Because of their potential to reach higher speeds than conventional bicycles …
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 …
Trajectories and maneuvers of surrounding vehicles with panoramic camera arrays
Vision-based research for intelligent vehicles have traditionally focused on specific regions
around a vehicle, such as a front looking camera for, eg, lane estimation. Traffic scenes are …
around a vehicle, such as a front looking camera for, eg, lane estimation. Traffic scenes are …
A personalized highway driving assistance system
A control approach for automated highway driving is proposed in this study, which can learn
from human driving data, and is applied to the longitudinal trajectory of an autonomous car …
from human driving data, and is applied to the longitudinal trajectory of an autonomous car …
Assessing driver behavior using shrp2 adverse weather data
C Druta, A Kassing, R Gibbons, VA Alden - Journal of safety research, 2020 - Elsevier
Introduction This study explored how drivers adapt to inclement weather in terms of driving
speed, situational awareness, and visibility as road surface conditions change from dry to …
speed, situational awareness, and visibility as road surface conditions change from dry to …
Drive quality analysis of lane change maneuvers for naturalistic driving studies
Analysis of naturalistic driving data provides a rich set of semantics which can be used to
determine the driving characteristics that could lead to crashes and near-crashes. In this …
determine the driving characteristics that could lead to crashes and near-crashes. In this …
Overtaking & receding vehicle detection for driver assistance and naturalistic driving studies
Although on-road vehicle detection is a well-researched area, overtaking and receding
vehicle detection with respect to (wrt) the ego-vehicle is less addressed. In this paper, we …
vehicle detection with respect to (wrt) the ego-vehicle is less addressed. In this paper, we …
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 …
Deep learning-based vehicle event identification
YY Chen, JC Chen, ZY Lian, HY Chiang… - Multimedia Tools and …, 2024 - Springer
In recent years, there has been a rapid development of intelligent driving assistance
systems. Although most vehicles nowadays are equipped with driving assistance systems …
systems. Although most vehicles nowadays are equipped with driving assistance systems …
Automatic Recognition of Driving Events based on Deep Learning
JC Chen, ZY Lian, HY Chiang… - … and Control (IS3C), 2023 - ieeexplore.ieee.org
In recent years, there has been a rapid development of intelligent driving assistance
systems. Although most vehicles nowadays are equipped with driving assistance systems …
systems. Although most vehicles nowadays are equipped with driving assistance systems …