AI-Powered Vision Sensing for Autonomous Driving
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Vehicular Sensing".
Deadline for manuscript submissions: 20 July 2026 | Viewed by 68
Special Issue Editors
Interests: connected and automated vehicles; advanced transportation systems; transit operations and optimization
Special Issue Information
Dear Colleagues,
The rapid evolution of perception, decision-making, and control technologies is accelerating the deployment of autonomous driving systems across diverse real-world applications. This Special Issue seeks original research and comprehensive review articles that advance the state of the art in artificial intelligence (AI)- and vision-based sensing for autonomous vehicles. We invite contributions that push forward sensor architecting, multimodal data fusion, scene understanding, object detection and tracking, 3D reconstruction, end-to-end autonomous driving, trustworthy sensing, and reliable perception under challenging driving conditions. We particularly welcome groundbreaking work on how autonomous driving systems have been facilitated by deep learning, generative AI, and AI-agent-assisted manufacturing. Applications spanning passenger vehicles, freight transport, mobile robotics, advanced driver-assistance systems (ADASs), and infrastructure–vehicle cooperation (V2X) are within the scope of this issue. Inter-platform studies integrating vision sensing with other types of sensors, roadside perception, and cloud-based traffic information are also encouraged. This Special Issue aims to serve as an inclusive forum for researchers dedicated to the perception-and-intelligence core of autonomous driving and seeks to identify emerging trends, practical challenges, and future research directions in this dynamic domain.
Dr. Joshua H. Meng
Dr. Dachuan Li
Guest Editors
Manuscript Submission Information
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Keywords
- vision sensing
- autonomous driving
- artificial intelligence
- data fusion
- end-to-end system
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