Dear Colleagues,

In the rapidly evolving landscape of advanced driver-assistance systems (ADAS) and intelligent vehicles, artificial intelligence (AI) has become a tangible and integral component of modern vehicle systems. This Special Issue focuses on the transformative role of AI in redefining the fields of intelligent vehicles and driving, exploring both groundbreaking advancements and the challenges that lie ahead.

AI plays a crucial role in modern ADAS. Features like predictive maintenance and collision avoidance systems are not just innovative additions, but are becoming industry standards. These systems leverage AI to analyze vast amounts of data in real-time, providing critical insights and proactive solutions that significantly reduce the risk of accidents.

In addition to enhancing safety, AI-driven technologies are reshaping the efficiency of vehicles and traffic systems. From optimizing fuel consumption and reducing emissions to managing traffic flow in urban environments, AI plays an undisputable role in promoting sustainability and reducing the carbon footprint of transportation.

This Special Issue aims to provide a comprehensive overview of the current state of and future prospects for AI in intelligent vehicles and driving. Through a series of articles, research papers, and case studies, we invite readers to explore the innovative applications of AI, understand the challenges it faces and opportunities it provides, and envision the future of transportation shaped by this remarkable technology.

The topics of this Special Issue include, but are not limited to:

• Sensor architectures for automotive perception;
• Sensor calibration and multimodal sensor fusion;
• Automotive multi-sensor fusion;
• Automotive sensor datasets and field results;
• Validation and evaluation methods for data-driven sensor systems;
• Scene understanding;
• Software architectures for autonomous vehicles;
• Heads-up Display for Vehicle-to-Driver Communication;
• Augmented Reality in automotive applications;
• Comfort in automated driving;
• Usability of automated driving Human–Machine Interfaces (HMIs) and external HMIs (eHMIs);
• Usability of systems used in automotive software;
• Interaction with other road users.

We look forward to receiving your contributions with insights into this exciting and dynamic field of research.

Dr. Ciprian Orhei
Dr. Radu Vasiu
Guest Editors

Manuscript Submission Information

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• driver-assistance systems
• sensors
• sensor fusion
• computer vision
• autonomous vehicles
• HMI design strategies
• interaction with other road users