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 …
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 …
Predicting highway lane-changing maneuvers: A benchmark analysis of machine and ensemble learning algorithms
Understanding and predicting highway lane-change maneuvers is essential for driving
modeling and its automation. The development of data-based lane-changing decision …
modeling and its automation. The development of data-based lane-changing decision …
Key feature selection and risk prediction for lane-changing behaviors based on vehicles' trajectory data
Risky lane-changing (LC) behavior of vehicles on the road has negative effects on traffic
safety. This study presents a research framework for key feature selection and risk prediction …
safety. This study presents a research framework for key feature selection and risk prediction …
Video action recognition for lane-change classification and prediction of surrounding vehicles
M Biparva, D Fernández-Llorca… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In highway scenarios, an alert human driver will typically anticipate early cut-in/cut-out
maneuvers of surrounding vehicles using visual cues mainly. Autonomous vehicles must …
maneuvers of surrounding vehicles using visual cues mainly. Autonomous vehicles must …
The prevention dataset: a novel benchmark for prediction of vehicles intentions
Recent advances in autonomous driving have shown the importance of endowing self-
driving cars with the ability of predicting the intentions and future trajectories of other traffic …
driving cars with the ability of predicting the intentions and future trajectories of other traffic …
Vehicle trajectory prediction on highways using bird eye view representations and deep learning
This work presents a novel method for predicting vehicle trajectories in highway scenarios
using efficient bird's eye view representations and convolutional neural networks. Vehicle …
using efficient bird's eye view representations and convolutional neural networks. Vehicle …
Experimental validation of lane-change intention prediction methodologies based on CNN and LSTM
This paper describes preliminary results of two different methodologies used to predict lane
changes of surrounding vehicles. These methodologies are deep learning based and the …
changes of surrounding vehicles. These methodologies are deep learning based and the …
Recognition of lane-changing behaviour with machine learning methods at freeway off-ramps
T Xu, Z Zhang, X Wu, L Qi, Y Han - Physica A: Statistical Mechanics and its …, 2021 - Elsevier
Crashes are occurred frequently at freeway off-ramps due to improper lane-changing (LC)
behaviours. The LC behaviour is the main cause of freeway off-ramp crashes. It is important …
behaviours. The LC behaviour is the main cause of freeway off-ramp crashes. It is important …
Review of decision-making and planning approaches in automated driving
F Garrido, P Resende - IEEE Access, 2022 - ieeexplore.ieee.org
The number of research papers on decision-making systems in automated driving has
increased significantly over the last few years. Decision-making for automated driving can …
increased significantly over the last few years. Decision-making for automated driving can …