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Event-Based Vision and Multimodal Sensor Fusion

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: 20 August 2026 | Viewed by 18

Special Issue Editors

School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: image enhancement; computer vision
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Guest Editor
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: multispectral imaging processing; object detection
Special Issues, Collections and Topics in MDPI journals

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Guest Editor Assistant
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: event camera; high-speed imaging; HDR imaging; multimodal learning

Special Issue Information

Dear Colleagues,

Event-based vision has recently emerged as a disruptive sensing paradigm, inspired by the neuromorphic principles of the human retina. Unlike conventional frame-based cameras, event-based sensors asynchronously capture intensity changes with microsecond precision and a wide dynamic range, making them well-suited for fast motion, low-light, and high dynamic range environments. In parallel, multimodal sensor fusion has become an essential strategy to overcome the limitations of single modalities, enabling robust and comprehensive perception by integrating complementary information from diverse sensors, such as RGB cameras, LiDAR, radar, infrared, and inertial units.

This Special Issue aims to provide a platform for the latest developments in event-based vision and multimodal sensor fusion, covering both theoretical foundations and practical applications. It will highlight cutting-edge research on algorithms, architectures, and systems that advance the state-of-the-art in intelligent sensing and perception.

We welcome contributions that span a broad range of topics, including, but not limited to, event-based imaging and reconstruction, fusion frameworks, learning paradigms for cross-modal perception, and real-world applications in autonomous driving, robotics, augmented reality, biomedical imaging, and remote sensing. Both original research articles and comprehensive reviews are encouraged.

Dr. Yi Chang
Prof. Dr. Luxin Yan
Guest Editors

Dr. Haoyue Liu
Guest Editor Assistant

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.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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

  • event-based vision
  • multimodal sensor fusion
  • cross-modal learning
  • autonomous systems and robotics
  • intelligent perception systems

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Published Papers

This special issue is now open for submission.
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