A survey on fuzzy control for mechatronics applications
Fuzzy control has become one of the most effective tools for dealing with complex
engineering processes. Over the years, research on fuzzy control systems has continuously …
engineering processes. Over the years, research on fuzzy control systems has continuously …
[HTML][HTML] Automotive Cybersecurity: A Survey on Frameworks, Standards, and Testing and Monitoring Technologies
CV Kifor, A Popescu - Sensors, 2024 - mdpi.com
Modern vehicles are increasingly interconnected through various communication channels,
which requires secure access for authorized users, the protection of driver assistance and …
which requires secure access for authorized users, the protection of driver assistance and …
Event-Triggered Parallel Control Using Deep Reinforcement Learning With Application to Comfortable Autonomous Driving
A novel event-triggered control (ETC) method, called deep event-triggered parallel control
(deep-ETPC), is presented to achieve path tracking for comfortable autonomous driving …
(deep-ETPC), is presented to achieve path tracking for comfortable autonomous driving …
What are the most influential factors in a vehicle platoon?
F Viadero-Monasterio… - … on evolving and …, 2024 - ieeexplore.ieee.org
Vehicle platooning is a promising solution to improve traffic behaviour for autonomous
vehicles. The advantages of this mode of transportation include decreased travel time …
vehicles. The advantages of this mode of transportation include decreased travel time …
[HTML][HTML] Radar-based pedestrian and vehicle detection and identification for driving assistance
F Viadero-Monasterio, L Alonso-Rentería, J Pérez-Oria… - Vehicles, 2024 - mdpi.com
The introduction of advanced driver assistance systems has significantly reduced vehicle
accidents by providing crucial support for high-speed driving and alerting drivers to …
accidents by providing crucial support for high-speed driving and alerting drivers to …
[HTML][HTML] A Driving Simulator Study to Examine the Impact of Visual Distraction Duration from In-Vehicle Displays: Driving Performance, Detection Response, and …
Z Liang, Y Wang, C Qian, Y Wang, C Zhao, H Du… - Electronics, 2024 - mdpi.com
This research explores the impact of visual distraction duration from multifunctional in-car
displays on driver safety. Utilizing a driving simulator and eye-tracking technology, this study …
displays on driver safety. Utilizing a driving simulator and eye-tracking technology, this study …
Simultaneous Estimation of Vehicle Sideslip and Roll Angles Using an Event-Triggered-Based IoT Architecture
In recent years, there has been a significant integration of advanced technology into the
automotive industry, aimed primarily at enhancing safety and ride comfort. While a notable …
automotive industry, aimed primarily at enhancing safety and ride comfort. While a notable …
A Novel Simulation-Based Optimization Method for Autonomous Vehicle Path Tracking with Urban Driving Application
Y Chen, F Yu - Mathematics, 2023 - mdpi.com
Autonomous driving technology heavily depends on accurate and smooth path tracking.
Facing complex urban driving scenarios, developing a suite of high-performance and robust …
Facing complex urban driving scenarios, developing a suite of high-performance and robust …
Evaluating Driver Preferences for In-Vehicle Displays during Distracted Driving Using Driving Simulators
L Li, Z Yang, J Zeng, CQJ Carlos - Electronics, 2024 - mdpi.com
Research on the impact of distracted driving on in-vehicle displays was conducted through a
user preference experiment based on simulated driving. The development of automotive …
user preference experiment based on simulated driving. The development of automotive …
Adaptive Event-Triggered Path Tracking Control With Proximate Appointed-Time Prescribed Performance for Autonomous Ground Vehicles
Y Liu, X Wang, Z Chen, L Li - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
Path tracking control is crucial for autonomous ground vehicles (AGVs), but it faces
challenges from model nonlinearity, parameter variations, and external disturbances. This …
challenges from model nonlinearity, parameter variations, and external disturbances. This …