Verification and validation methods for decision-making and planning of automated vehicles: A review

Y Ma, C Sun, J Chen, D Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Verification and validation (V&V) hold a significant position in the research and development
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …

[HTML][HTML] Multimodal semantic segmentation in autonomous driving: A review of current approaches and future perspectives

G Rizzoli, F Barbato, P Zanuttigh - Technologies, 2022 - mdpi.com
The perception of the surrounding environment is a key requirement for autonomous driving
systems, yet the computation of an accurate semantic representation of the scene starting …

Autonomous vehicle kinematics and dynamics synthesis for sideslip angle estimation based on consensus Kalman filter

X Xia, E Hashemi, L Xiong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An autonomous vehicle sideslip angle estimation algorithm is proposed based on
consensus and vehicle kinematics/dynamics synthesis. Based on the velocity error …

Research on road environmental sense method of intelligent vehicle based on tracking check

Y Han, B Wang, T Guan, D Tian, G Yang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Environment perception is the premise for intelligent vehicles to drive safely and stably.
Despite the rapid development of road detection technology based on visual images, it is …

Machine learning for next‐generation intelligent transportation systems: A survey

T Yuan, W da Rocha Neto… - Transactions on …, 2022 - Wiley Online Library
Intelligent transportation systems, or ITS for short, includes a variety of services and
applications such as road traffic management, traveler information systems, public transit …

Towards an ontology for scenario definition for the assessment of automated vehicles: An object-oriented framework

E De Gelder, JP Paardekooper… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The development of new assessment methods for the performance of automated vehicles is
essential to enable the deployment of automated driving technologies, due to the complex …

From driving behavior to energy consumption: A novel method to predict the energy consumption of electric bus

S Nan, R Tu, T Li, J Sun, H Chen - Energy, 2022 - Elsevier
Accurate real-time energy consumption prediction of electric buses (EBs) is essential for bus
operation and management, which can effectively mitigate the driving range anxiety while …

[HTML][HTML] Automatic detection of driver fatigue based on EEG signals using a developed deep neural network

S Sheykhivand, TY Rezaii, Z Mousavi, S Meshgini… - Electronics, 2022 - mdpi.com
In recent years, detecting driver fatigue has been a significant practical necessity and issue.
Even though several investigations have been undertaken to examine driver fatigue, there …

[HTML][HTML] A driver gaze estimation method based on deep learning

SM Shah, Z Sun, K Zaman, A Hussain, M Shoaib, L Pei - Sensors, 2022 - mdpi.com
Car crashes are among the top ten leading causes of death; they could mainly be attributed
to distracted drivers. An advanced driver-assistance technique (ADAT) is a procedure that …

Scenario parameter generation method and scenario representativeness metric for scenario-based assessment of automated vehicles

E de Gelder, J Hof, E Cator… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The development of assessment methods for the performance of Automated Vehicles (AVs)
is essential to enable the deployment of automated driving technologies, due to the complex …