Analyzing driver behavior under naturalistic driving conditions: A review
H Singh, A Kathuria - Accident Analysis & Prevention, 2021 - Elsevier
For a decade, researchers working in the area of road safety have started exploring the use
of driving behavior data for a better understanding of the causes related to road accidents. A …
of driving behavior data for a better understanding of the causes related to road accidents. A …
Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open …
Driver distraction is one of the main causes of fatal traffic accidents. Therefore, the ability to
detect driver inattention is essential in building a safe yet intelligent transportation system …
detect driver inattention is essential in building a safe yet intelligent transportation system …
Autonomous vehicles that interact with pedestrians: A survey of theory and practice
A Rasouli, JK Tsotsos - IEEE transactions on intelligent …, 2019 - ieeexplore.ieee.org
One of the major challenges that autonomous cars are facing today is driving in urban
environments. To make it a reality, autonomous vehicles require the ability to communicate …
environments. To make it a reality, autonomous vehicles require the ability to communicate …
Agreeing to cross: How drivers and pedestrians communicate
A Rasouli, I Kotseruba… - 2017 IEEE Intelligent …, 2017 - ieeexplore.ieee.org
The contribution of this paper is twofold. The first is a novel dataset for studying behaviors of
traffic participants while crossing. Our dataset contains more than 650 samples of pedestrian …
traffic participants while crossing. Our dataset contains more than 650 samples of pedestrian …
How much data are enough? A statistical approach with case study on longitudinal driving behavior
Big data has shown its uniquely powerful ability to reveal, model, and understand driver
behaviors. The amount of data affects the experiment cost and conclusions in the analysis …
behaviors. The amount of data affects the experiment cost and conclusions in the analysis …
Hazard perception, presence, and simulation sickness—a comparison of desktop and head-mounted display for driving simulation
Driving simulators are becoming increasingly common in driver training and assessment.
Since virtual reality is generally regarded as an appropriate environment for measuring risk …
Since virtual reality is generally regarded as an appropriate environment for measuring risk …
Implicit personalization in driving assistance: State-of-the-art and open issues
In recent decades, driving assistance systems have been evolving towards personalization
for adapting to different drivers. With the consideration of driving preferences and driver …
for adapting to different drivers. With the consideration of driving preferences and driver …
Driver maneuver detection and analysis using time series segmentation and classification
A Aboah, Y Adu-Gyamfi, SV Gursoy… - … engineering, Part A …, 2023 - ascelibrary.org
The current paper implements a methodology for automatically detecting vehicle maneuvers
from vehicle telemetry data under naturalistic driving settings. Previous approaches have …
from vehicle telemetry data under naturalistic driving settings. Previous approaches have …
Modeling hair from an rgb-d camera
Creating realistic 3D hairs that closely match the real-world inputs remains challenging. With
the increasing popularity of lightweight depth cameras featured in devices such as iPhone X …
the increasing popularity of lightweight depth cameras featured in devices such as iPhone X …
A comparison of hazard perception and hazard prediction tests across China, Spain and the UK
Hazard perception (HP) is the ability to spot on-road hazards in time to avoid a collision. This
skill is traditionally measured by recording response times to hazards in video clips of …
skill is traditionally measured by recording response times to hazards in video clips of …