Advances in Computer Vision for Autonomous Driving
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 57
Special Issue Editors
Interests: artificial intelligence; computer vision; machine learning; UAVs; big data; deep learning
Interests: computer vision; monitoring; maintenance; electronics; artificial intelligence; UAVs; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The ongoing evolution of autonomous driving systems is deeply intertwined with progress in the field of computer vision, a field which enables vehicles to perceive, interpret, and interact with their environments in increasingly complex and dynamic scenarios. Advanced vision systems (powered by deep learning) are central to tasks such as object detection, semantic segmentation, depth estimation, and scene understanding, allowing for autonomous vehicles to operate safely under diverse conditions. In parallel, the integration of vision-based sensing within the broader Internet of Things (IoT) ecosystem is opening new avenues for collaborative perception and edge intelligence. Moreover, aerial platforms such as drones are playing an increasing role in traffic monitoring, mapping, and infrastructure analysis, offering valuable visual data to complement and enhance ground-based autonomy.
This Special Issue, “Advances in Computer Vision for Autonomous Driving”, seeks to gather high-quality contributions that explore novel methods, algorithms, and applications at the intersection of computer vision and autonomous transportation technologies. This scope aligns with the journal’s section on Electrical and Autonomous Vehicles, and we encourage submissions that reflect both theoretical advances and practical implementations in intelligent mobility systems.
We welcome original research articles and comprehensive reviews on topics including, but not limited to, the following:
- Vision-based object detection, tracking, and classification in autonomous vehicles;
- Scene understanding, semantic segmentation, and depth estimation;
- Multisensor fusion (e.g., camera, LiDAR, radar, edge devices);
- Vision for localization, mapping, and SLAM;
- Perception under adverse weather or nighttime conditions;
- Integration of computer vision with IoT infrastructure and V2X communication;
- Drone-assisted visual sensing and traffic/environmental monitoring;
- Synthetic data generation and simulation for autonomous driving perception.
We look forward to receiving your contributions.
Dr. Javier Sánchez-Soriano
Dr. Carlos Quiterio Gómez Muñoz
Prof. Dr. Diego Gachet Páez
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- computer vision
- autonomous driving
- deep learning
- object detection and tracking
- semantic segmentation
- sensor fusion
- SLAM and visual localization
- IoT in intelligent transportation systems
- V2X communication
- drone-based perception and traffic monitoring
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