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Cybersecurity of autonomous vehicles: A systematic literature review of adversarial attacks and defense models
Autonomous driving (AD) has developed tremendously in parallel with the ongoing
development and improvement of deep learning (DL) technology. However, the uptake of …
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
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
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 …
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 …
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
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 …
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
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 …
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 …
intelligent vehicles' safety and user experience. This paper provides a comprehensive …
Predicting and explaining lane-changing behaviour using machine learning: A comparative study
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 …
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 …
based upon the separate constructs of Perception, Decision making, Trajectory Planning …
Spatial-temporal ConvLSTM for vehicle driving intention prediction
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 …
However, existing research, on one hand, has only focused on predicting lane change …