A Survey of Autonomous Driving: Common Practices and Emerging Technologies

E Yurtsever, J Lambert, A Carballo, K Takeda - IEEE access, 2020 - ieeexplore.ieee.org
Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …

Global lessons learned from naturalistic driving studies to advance traffic safety and operation research: A systematic review

MM Ahmed, MN Khan, A Das, SE Dadvar - Accident Analysis & Prevention, 2022 - Elsevier
The state of practice of investigating traffic safety and operation is primarily based on
traditional data sources, such as spot sensors, loop detectors, and historical crash data …

Scene-graph augmented data-driven risk assessment of autonomous vehicle decisions

SY Yu, AV Malawade, D Muthirayan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
There is considerable evidence that evaluating the subjective risk level of driving decisions
can improve the safety of Autonomous Driving Systems (ADS) in both typical and complex …

Reversible data hiding by using CNN prediction and adaptive embedding

R Hu, S **ang - IEEE Transactions on Pattern Analysis and …, 2021 - ieeexplore.ieee.org
In the field of reversible data hiding (RDH), how to predict an image and embed a message
into the image with smaller distortion are two important aspects. In this paper, we propose a …

Driver behavior profiling and recognition using deep-learning methods: In accordance with traffic regulations and experts guidelines

WA Al-Hussein, LY Por, MLM Kiah… - International journal of …, 2022 - mdpi.com
The process of collecting driving data and using a computational model to generate a safety
score for the driver is known as driver behavior profiling. Existing driver profiles attempt to …

Human-like lane change decision model for autonomous vehicles that considers the risk perception of drivers in mixed traffic

C Wang, Q Sun, Z Li, H Zhang - Sensors, 2020 - mdpi.com
Determining an appropriate time to execute a lane change is a critical issue for the
development of Autonomous Vehicles (AVs). However, few studies have considered the rear …

Risky action recognition in lane change video clips using deep spatiotemporal networks with segmentation mask transfer

E Yurtsever, Y Liu, J Lambert… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Advanced driver assistance and automated driving systems rely on risk estimation modules
to predict and avoid dangerous situations. Current methods use expensive sensor setups …

Analysis on the driving behavior of old drivers by driving recorder GPS trajectory data

Y Zhu, M Jiang, T Yamamoto - Asian Transport Studies, 2022 - Elsevier
With the aging of the population, the number of elderly drivers is increasing. Elderly drivers
tend to overestimate their driving abilities, despite their maneuvering skills and cognitive …

Symbolic transition network for characterizing the dynamics behaviors of gas–liquid​ two-phase flow patterns

J Wei, M Du, R Wang, J Duan, Z Gao - Physica A: Statistical Mechanics and …, 2023 - Elsevier
Gas–liquid two-phase flows are widely encountered in many industrial applications, and the
evolutionary dynamics of the flow patterns are fundamental knowledge for the establishment …

Factors, Prediction, and Explainability of Vehicle Accident Risk Due to Driving Behavior through Machine Learning: A Systematic Literature Review, 2013–2023

J Lacherre, JL Castillo-Sequera, D Mauricio - Computation, 2024 - mdpi.com
Road accidents are on the rise worldwide, causing 1.35 million deaths per year, thus
encouraging the search for solutions. The promising proposal of autonomous vehicles …