Large AI Models for Positioning and Perception in Autonomous Driving
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Navigation and Positioning".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 2817
Special Issue Editors
Interests: autonomous driving, electric vehicles and intelligent systems; new generation clean propulsion control and optimisation; digital modelling and simulation; intelligent transportation system and artificial intelligence (AI) in engineering practice
Special Issues, Collections and Topics in MDPI journals
Interests: shared control (i.e., human–machine interaction); development of advanced driver assistant system (adas); autonomous vehicles; traffic control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As the field of artificial intelligence (AI) advances, large AI models have emerged as powerful tools for enhancing the capabilities of autonomous driving systems, particularly in positioning and perception. These models offer unprecedented accuracy and adaptability, enabling vehicles to navigate complex environments with greater safety and efficiency. This Special Issue seeks to bring together the latest research on the development and application of large AI models in the areas of positioning and perception for autonomous vehicles.
Topics of interest include, but are not limited to, the following:
- Development of large AI models for positioning in autonomous vehicles;
- AI-based perception systems using large models for object detection and classification;
- Integration of large AI models with sensor fusion techniques in autonomous driving;
- Real-time deployment of large AI models for navigation and situational awareness;
- Impact of large AI models on the accuracy and reliability of autonomous vehicle perception;
- Computational challenges and optimization techniques for large AI models in autonomous systems;
- Applications of large AI models in 3D mapping and localization for autonomous driving;
- AI-driven predictive analytics for autonomous vehicle positioning;
- Case studies on the implementation of large AI models in real-world autonomous driving scenarios;
- Future trends and challenges in the use of large AI models for autonomous driving positioning and perception.
Dr. Yuanjian Zhang
Dr. Jingjing Jiang
Guest Editors
Manuscript Submission Information
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Keywords
- large AI model
- autonomous driving
- vehicle perception
- positioning system
- sensor fusion
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