Emerging Technologies in Future Intelligent Electrified Vehicles
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 8300
Special Issue Editors
Interests: autonomous driving; quantum computing; blockchain for security and decentralization; deep reinforcement learning
Special Issues, Collections and Topics in MDPI journals
Interests: wireless communications; intelligent transportation systems; blockchain; IoT; AI; 5G; wireless security
Interests: 5GB; 6G wireless communications; LTE-unlicensed; heterogeneous networks; new radio
Special Issue Information
Dear Colleagues,
Recently, the mass deployment of automated, electric, and hybrid electric vehicles (EV) are maturing rapidly. The future intelligent electrified vehicle (FIEV) has developed itself as an important cornerstone of today's intelligent transportation innovations including aerial vehicles. The integration of advanced sensing technology, data mining, machine learning (ML), E/E architecture, and vehicle control technologies allows FIEV to function independently in dynamic and unpredictable real-world environments. For the safety of the passengers, ML techniques and UI/UX systems are required for passenger interaction and user behavior/intention recognition. In addition, it is necessary to detect irregular situations in-cabin and around the vehicles for the safety of the humans and vehicles as well in FIEV. Similarly, efficient E/E architecture and new communication technologies are essential for integrated solutions of FIEV. The next-generation network (NGN) is considered a crucial factor for the success of FIEV by allowing different entities to exchange data in a fast and reliable manner. FIEV would revolutionize the way people experience transportation and mobility, hence making passengers free from conventional travel practices. There will soon be new classes of delivery vehicles like EV shuttle buses, air-taxis, and autonomous delivery vehicles that save passengers time and make travel fun. Moreover, simulation technology such as traffic and scenario-based simulation might be required to validate the operations of FIEV before being deployed in the real world.
The goal of this Special Issue is to attract and publish high-quality peer-reviewed articles in the field of FIEV. The guest editorial team invites researchers and industry experts to submit insightful and revolutionary contributions in the form of research and review articles focusing on, but not limited to, state-of-the-art and emerging trends covering the following potential topics:
Machine Learning and UI/UX in FIEV
- UI system architecture of intelligent EV
- Passenger interaction applications
- AI and deep learning for user intention recognition in intelligent EV
- Safety & security of intelligent EV UI/UX
Connectivity and big data in FIEV
- Next-generation wireless communication for FIEV (5G/6G, Wi-Fi, VLC, etc.)
- In-vehicle connectivity
- Mobility link between EV shuttle and UAV/PAV
- Big data analytics in IoV
- Edge-cloud computing for V2X communication
Irregular Situations in FIEV
- Irregular situations in in-cabin of FIEV
- Irregular situations around the vehicles of FIEV
- Irregular situations in UAVs/PAVs
Electrical/Electronic (E/E) architecture for FIEV
- E/E architecture for electric and autonomous vehicles
- E/E architecture for UAVs/PAVs
- E/E architecture for autonomous underwater vehicles
Simulation Technology for FIEV
- Traffic based simulation
- Scenario-based simulation
- Simulation tools and testbed and for autonomous and EV
- Simultaneous localization and 3D mapping
- Simultaneous control localization and mapping (SCLAM)
New Classes of Delivery Vehicles
- Electric shuttle bus and air taxis
- Autonomous delivery vehicles
- Smart mobility
Prof. Shiho Kim
Dr. Rakesh Shrestha
Dr. Rojeena Bajracharya
Dr. Jaekwang Cha
Guest Editors
Manuscript Submission Information
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Keywords
- Next-generation communication technology
- simulation technology
- irregular situations
- UI system architecture
- E/E architecture
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