New Advances of Intelligent 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 September 2020) | Viewed by 49982
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: vehicle dynamics and control; state and parameter estimation; steer-by-wire; integrated chassis control with V2X communication
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are now facing the most exciting and important innovations in history regarding both automotive technology and ICT, with the development of intelligent vehicles commonly referred to as autonomous or self-driving vehicles. Thanks to technological advances in hardware/software technologies, the promise of unmanned self-driving vehicles for safer fully automated driving systems is closer to becoming a reality. ICT has the capability to provide systems for Connected, Cooperative, and Autonomous Driving. In this context, we need to handle the massive amount of data generated by connected intelligent vehicles. Emerging systems present several issues, such as those related to the E/E architecture of a vehicle, ensuring and validating safety, testing, passenger comfort, human factors, and cyber security aspects of intelligent vehicles. Therefore, great efforts are required from the research community to solve these problems.
In this Special Issue, we are particularly interested in describing, defining, and quantifying the potential problems of intelligent vehicles and in looking at solutions, prototypes, and demonstrators which address the different aspects of the intelligent vehicles and their applications;
The topics of interest include, but are not limited to:
- E/E architectures of Intelligent Vehicles
- Vehicle dynamics and control of Intelligent Vehicles
- Vehicle hardware/software systems for Connected, Cooperative, and Autonomous Driving
- Machine Learning approaches for Intelligent Vehicles
- Artificial intelligence for Intelligent Vehicles
- Ensuring and Validating Safety for Intelligent Vehicles
- Cyber security in intelligent vehicles
- Vehicle Cloud
- Data-Driven Intelligent Vehicle Applications
- Neural Network models of Vehicles
- On-board diagnostics of Intelligent Vehicles
- Testing of Autonomous Cars
- Passenger Comfort of Autonomous driving
- Human Factors
- OEDR (object and event detection and response) and/or all-back system for highly (fully) automated vehicles
Prof. Shiho Kim
Prof. Seongjin Yim
Guest Editors
Manuscript Submission Information
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Keywords
- E/E architectures of Intelligent Vehicles
- Vehicle dynamics and control of Intelligent Vehicles
- Vehicle hardware/software systems for Connected, Cooperative and Autonomous Driving
- Machine Learning approaches for Intelligent Vehicles
- Artificial intelligence for Intelligent Vehicles
- Ensuring and Validating Safety for Intelligent Vehicles
- Cyber security in intelligent vehicles
- Vehicle Cloud
- Data-Driven Intelligent Vehicle Applications
- Neural Network models of Vehicle
- On-board diagnostics of Intelligent Vehicles
- Testing of Autonomous Cars
- Passenger Comfort of Autonomous driving
- Human Factors
- OEDR (object and event detection and response) and/or fall-back system for highly (fully) automated vehicles
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