Cybersecurity of autonomous vehicles: A systematic literature review of adversarial attacks and defense models

M Girdhar, J Hong, J Moore - IEEE Open Journal of Vehicular …, 2023 - ieeexplore.ieee.org
Autonomous driving (AD) has developed tremendously in parallel with the ongoing
development and improvement of deep learning (DL) technology. However, the uptake of …

Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey

O Sharma, NC Sahoo, NB Puhan - Engineering applications of artificial …, 2021 - Elsevier
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …

Survey of deep reinforcement learning for motion planning of autonomous vehicles

S Aradi - IEEE Transactions on Intelligent Transportation …, 2020 - ieeexplore.ieee.org
Academic research in the field of autonomous vehicles has reached high popularity in
recent years related to several topics as sensor technologies, V2X communications, safety …

A data-driven lane-changing model based on deep learning

DF **e, ZZ Fang, B Jia, Z He - Transportation research part C: emerging …, 2019 - Elsevier
Abstract Lane-changing (LC), which is one of the basic driving behavior, largely impacts on
traffic efficiency and safety. Modeling an LC process is challenging due to the complexity …

A xgboost-based lane change prediction on time series data using feature engineering for autopilot vehicles

Y Zhang, X Shi, S Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Road accidents wreck lives. Could technology stop them from happening? Driving better
road safety with technology and artificial intelligence are the key elements considered by …

A review of HMM-based approaches of driving behaviors recognition and prediction

Q Deng, D Söffker - IEEE Transactions on Intelligent Vehicles, 2021 - ieeexplore.ieee.org
Current research and development in recognizing and predicting driving behaviors plays an
important role in the development of Advanced Driver Assistance Systems (ADAS). For this …

Surrounding vehicles' lane change maneuver prediction and detection for intelligent vehicles: A comprehensive review

R Song, B Li - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
Identifying and evaluating the potential risks in the surrounding environment is critical for
intelligent vehicles' safety and user experience. This paper provides a comprehensive …

Predicting and explaining lane-changing behaviour using machine learning: A comparative study

Y Ali, F Hussain, MCJ Bliemer, Z Zheng… - … research part C …, 2022 - Elsevier
Predicting lane-changing behaviour is an integral part of lane-changing decision models
and has a significant impact on both traffic flow characteristics and traffic safety. A variety of …

Combining decision making and trajectory planning for lane changing using deep reinforcement learning

S Li, C Wei, Y Wang - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
In the context of Automated Vehicles, the Automated Lane Change system, is fundamentally
based upon the separate constructs of Perception, Decision making, Trajectory Planning …

Spatial-temporal ConvLSTM for vehicle driving intention prediction

H Huang, Z Zeng, D Yao, X Pei… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
Driving intention prediction from a bird's-eye view has always been an active research area.
However, existing research, on one hand, has only focused on predicting lane change …