Signal Processing and AI Applications for Vehicles
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: 15 November 2024 | Viewed by 8547
Special Issue Editors
Interests: wireless communications; vehicular communications; signal processing for communications; ITS
Interests: MAC; routing protocols for next-generation wireless networks; wireless sensor networks; cognitive radio networks; RFID systems; IoT; smart city; deep learning; digital convergence
Special Issues, Collections and Topics in MDPI journals
Interests: communication network design; intrusion detection; data mining; machine learning; security
Special Issues, Collections and Topics in MDPI journals
Interests: AI; webometrics; open data; data security; SNS security; SNS analysis; knowledge management; digital convergence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In an era where technological advancements are reshaping the automotive industry, machine learning and artificial intelligence have emerged as pivotal catalysts for transformation. Integrating these cutting-edge technologies into vehicles can revolutionize how we perceive, interact with, and utilize our automobiles.
Advancements in machine learning and AI have enabled vehicles to become more than just modes of transportation. They are evolving into intelligent systems capable of autonomous navigation, predictive maintenance, adaptive driving, and personalized services. The potential impact of these technologies spans a wide array of domains, including driver assistance systems, autonomous driving, vehicle-to-everything (V2X) communication, energy optimization, vehicle diagnostics, and connected car ecosystems.
This Special Issue aims to provide a comprehensive platform for researchers, practitioners, and enthusiasts to delve into the diverse realms of machine learning and artificial intelligence within the context of vehicles. The focus is exploring the latest breakthroughs, methodologies, and applications that leverage machine learning algorithms, AI models, and data-driven insights to enhance vehicle performance, safety, efficiency, and user experience.
Topics of interest include, but are not limited to, the following:
- Autonomous vehicle technologies.
- Advanced driver assistance systems (ADASs).
- Predictive maintenance and vehicle health monitoring.
- Intelligent traffic management and control.
- Human–machine interfaces for enhanced user experience.
- Energy-efficient vehicle systems and optimization.
- Vehicle-to-everything (V2X) communication.
- Sensor technologies for vehicle perception and control.
- Data analytics and machine learning for vehicle diagnostics.
- Cybersecurity and privacy in connected vehicles.
Prof. Dr. Woong Cho
Dr. Gyanendra Prasad Joshi
Dr. Eunmok Yang
Dr. Srijana Acharya
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- artificial intelligence
- deep learning
- automotive industry
- intelligent transportation systems
- autonomous vehicles
- predictive maintenance
- driver assistance systems
- traffic management
- vehicle dynamics
- intelligent control
- vehicular communication
- edge computing
- safety and security
- energy efficiency
- fleet management
- simulation and modeling
- perception and localization vehicles
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