Human-factors-in-driving-loop: Driver identification and verification via a deep learning approach using psychological behavioral data
Driver identification has been popular in the field of driving behavior analysis, which has a
broad range of applications in anti-thief, driving style recognition, insurance strategy, and …
broad range of applications in anti-thief, driving style recognition, insurance strategy, and …
A review of driving style recognition methods from short-term and long-term perspectives
Driving style recognition provides an effective way to understand human driving behaviors
and thereby plays an important role in the automotive sector. However, most works fail to …
and thereby plays an important role in the automotive sector. However, most works fail to …
DSDCLA: Driving style detection via hybrid CNN-LSTM with multi-level attention fusion
Driving style detection is an essential real-world requirement in diverse contexts, such as
traffic safety, car insurance and fuel consumption optimization. However, the existing …
traffic safety, car insurance and fuel consumption optimization. However, the existing …
Dual transformer based prediction for lane change intentions and trajectories in mixed traffic environment
In a mixed traffic environment of human and autonomous driving, it is crucial for an
autonomous vehicle to predict the lane change intentions and trajectories of vehicles that …
autonomous vehicle to predict the lane change intentions and trajectories of vehicles that …
Fog robotics-based intelligence transportation system using line-of-sight intelligent transportation
E Poornima, BA Muthu, R Agrawal, SP Kumar… - Multimedia Tools and …, 2023 - Springer
Abstract Intelligent Transportation System (ITS) idea was developed to improve road safety,
traffic management efficiency, and environmental preservation. The fog-robotics Based …
traffic management efficiency, and environmental preservation. The fog-robotics Based …
Machine Learning-Based Road Safety Prediction Strategies for Internet of Vehicles (IoV) Enabled Vehicles: A Systematic Literature Review
KR Reddy, A Muralidhar - IEEE Access, 2023 - ieeexplore.ieee.org
This systematic literature review aims to investigate the current state-of-the-art in machine
learning (ML) based road traffic analysis, hindrance estimation, and predicting vehicle safety …
learning (ML) based road traffic analysis, hindrance estimation, and predicting vehicle safety …
A novel multimodal vehicle path prediction method based on temporal convolutional networks
MN Azadani, A Boukerche - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Accurate and reliable prediction of future motions of the nearby agents and effective
environment understanding will contribute to high-quality and meticulous path planning for …
environment understanding will contribute to high-quality and meticulous path planning for …
Comprehensive driver behaviour review: Taxonomy, issues and challenges, motivations and research direction towards achieving a smart transportation environment
The aim of this article is to review and analyse previous academic articles associated with
car behaviour analysis for the period of 2010 to June 10, 2021 and understand the benefits …
car behaviour analysis for the period of 2010 to June 10, 2021 and understand the benefits …
Siamese temporal convolutional networks for driver identification using driver steering behavior analysis
MN Azadani, A Boukerche - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Driver identification has shown sustainable development in recent years in a wide variety of
applications including but not limited to security, personalization, fleet management …
applications including but not limited to security, personalization, fleet management …
STAG: A novel interaction-aware path prediction method based on Spatio-Temporal Attention Graphs for connected automated vehicles
MN Azadani, A Boukerche - Ad Hoc Networks, 2023 - Elsevier
Understanding social interactions between a vehicle and its surrounding agents enables
effective path prediction, which is critical for the motion planning and safe navigation of …
effective path prediction, which is critical for the motion planning and safe navigation of …