Computer Vision Applications in Autonomous Vehicles
A special issue of Vehicles (ISSN 2624-8921).
Deadline for manuscript submissions: 15 November 2026 | Viewed by 1129
Editors
Interests: intelligent vehicles testing; intelligent vehicles perception; intelligent control method
Interests: intelligent vehicles testing; intelligent vehicles perception; intelligent control method
Interests: autonomous vehicle perception; decision-making and control
Interests: autonomous driving; intelligent transportation system; vehicle perception
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Special Issue Information
Dear Colleagues,
Computer vision has become a core enabling technology for autonomous vehicles, providing critical capabilities for perception, understanding, and decision-making in complex traffic environments. With the rapid advancement of sensing hardware, deep learning architectures, and large-scale data-driven methods, vision-based systems are increasingly responsible for detecting, tracking, and interpreting dynamic road users, infrastructure elements, and environmental conditions.
This Special Issue aims to present recent theoretical advances, methodological innovations, and practical applications of computer vision in autonomous driving systems. Topics of interest include, but are not limited to, visual perception under adverse and corner scenarios, multi-task learning for scene understanding, vision-based localization and mapping, and robust perception for safety-critical autonomous driving. Particular attention will be given to methods that improve generalization, interpretability, and reliability, as well as approaches that integrate vision with multi-modal sensing, simulation, and scenario-based testing frameworks.
By bringing together contributions from academia and industry, this Special Issue seeks to highlight cutting-edge research that advances the deployment of reliable and scalable autonomous vehicle technologies, and to foster cross-disciplinary collaboration between computer vision, robotics, and intelligent transportation systems.
Dr. Peixing Zhang
Dr. Jin Chen
Dr. Yuande Jiang
Prof. Dr. Xin Cheng
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Vehicles is an international peer-reviewed open access monthly 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 1800 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
- vision-based perception for autonomous driving
- object detection and tracking in traffic scenes
- semantic and panoptic scene understanding
- visual localization and mapping (V-SLAM)
- corner and extreme scenario perception
- multi-modal sensor fusion with vision
- learning-based lane and road structure detection
- vision-driven motion prediction and intent recognition
- simulation and synthetic data for vision systems
- safety, robustness, and reliability of vision-based system
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