Artificial Intelligence and Sensor-Based Learning for Intelligent Driving and Smart Mobility
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: 20 December 2026 | Viewed by 197
Special Issue Editors
Interests: information security of self-driving vehicles
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; deep learning; big data; mobile analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence is increasingly transforming intelligent transportation systems, smart mobility solutions, and modern vehicle technologies. Advances in machine learning, deep learning, and sensor-based perception enable vehicles and transportation infrastructures to interpret complex environments, assist drivers, enhance safety, and support intelligent automation. Although autonomous driving has been a major research focus, AI-driven solutions are also widely used in advanced driver-assistance systems, smart parking, driver monitoring, traffic prediction, and intelligent mobility management. Modern intelligent driving environments rely on heterogeneous sensor data such as cameras, LiDAR, radar, GNSS, and vehicle telemetry. Artificial intelligence enables robust perception, multimodal data fusion, environment understanding, and adaptive decision-making. These capabilities are essential not only for fully autonomous vehicles but also for semi-autonomous driving systems, intelligent parking applications, safety monitoring, and traffic optimization. This Special Issue aims to collect high-quality contributions focusing on artificial intelligence methods for sensing, perception, prediction, and decision-making in intelligent driving and smart mobility environments. The scope is intentionally broader than autonomous driving and includes AI-based solutions supporting both vehicle-centric and infrastructure-centric intelligent transportation systems. Research addressing smart parking, driver monitoring, ADAS systems, traffic understanding, and AI-based safety solutions is particularly encouraged. We welcome original research and review papers covering deep learning, transformer-based models, multimodal learning, reinforcement learning, and edge AI solutions for intelligent mobility. Contributions integrating sensor-based perception, real-time inference, and deployable AI solutions for transportation systems are especially encouraged.
Dr. Gábor Kiss
Dr. Lehel Denes-Fazakas
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- deep learning
- sensor fusion
- intelligent driving
- smart mobility
- driver monitoring
- smart parking
- ADAS
- intelligent transportation systems
- automated driving
- cooperative AI
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