A comprehensive survey on image encryption: Taxonomy, challenges, and future directions
M SaberiKamarposhti, A Ghorbani… - Chaos, Solitons & Fractals, 2024 - Elsevier
Image encryption is a critical component of modern data security, ensuring the
confidentiality, integrity, and privacy of sensitive visual content. In this paper, we present a …
confidentiality, integrity, and privacy of sensitive visual content. In this paper, we present a …
Use of social interaction and intention to improve motion prediction within automated vehicle framework: A review
Human errors contribute to 94%(±2.2%) of road crashes resulting in fatal/non-fatal
causalities, vehicle damages and a predicament in the pathway to safer road systems …
causalities, vehicle damages and a predicament in the pathway to safer road systems …
A survey of image encryption algorithms based on chaotic system
P Fang, H Liu, C Wu, M Liu - The Visual Computer, 2023 - Springer
Many researchers have devoted themselves to studying image encryption based on chaotic
system and have made significant strides in research in recent decades. This paper first …
system and have made significant strides in research in recent decades. This paper first …
Early lane change prediction for automated driving systems using multi-task attention-based convolutional neural networks
Lane change (LC) is one of the safety-critical manoeuvres in highway driving according to
various road accident records. Thus, reliably predicting such manoeuvre in advance is …
various road accident records. Thus, reliably predicting such manoeuvre in advance is …
AMGB: Trajectory prediction using attention-based mechanism GCN-BiLSTM in IOV
R Li, Y Qin, J Wang, H Wang - Pattern Recognition Letters, 2023 - Elsevier
Accurate and reliable prediction of vehicle trajectories is closely related to the path planning
of intelligent vehicles and contributes to intelligent transportation safety, especially in …
of intelligent vehicles and contributes to intelligent transportation safety, especially in …
FEEL: Federated end-to-end learning with non-IID data for vehicular ad hoc networks
Recent studies have demonstrated the potentials of federated learning (FL) in achieving
cooperative and privacy-preserving data analytics. It would also be promising if FL can be …
cooperative and privacy-preserving data analytics. It would also be promising if FL can be …
Predictive exposure control for vision-based robotic disassembly using deep learning and predictive learning
Lighting conditions can affect the performance of vision-based robots in manufacturing. This
paper presents a predictive exposure control method that allows the acquisition of high …
paper presents a predictive exposure control method that allows the acquisition of high …
Interpretable bus energy consumption model with minimal input variables considering powertrain types
This study aims to build an interpretable energy model for urban buses considering
powertrain types to serve bus operators with minimal variables and simple structure, in …
powertrain types to serve bus operators with minimal variables and simple structure, in …
Analyzing differences of highway lane-changing behavior using vehicle trajectory data
S Chen, L Piao, X Zang, Q Luo, J Li, J Yang… - Physica A: Statistical …, 2023 - Elsevier
Analyzing fine-resolution lane-changing behavior is of great significance in the traffic flow
modeling and safety assessment. The fact that lane-changing behavior varies over different …
modeling and safety assessment. The fact that lane-changing behavior varies over different …
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 …