Multisensor Data Fusion and Its Applications in Object Detection and Tracking
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: 20 April 2025 | Viewed by 633
Special Issue Editors
Interests: computer vision; image processing; pattern recognition; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: image processing; pattern recognition; data fusion; optical metrology
Special Issue Information
Dear Colleagues,
Multisensor data fusion integrates information from multiple sensors to improve object detection and tracking performance. By combining data from various sources, it mitigates limitations such as noise, blind spots, and environmental interference, making the system more reliable and accurate. Multisensor data fusion is widely applied in autonomous vehicles, robotics, surveillance, and aerospace, where precise and real-time object detection and tracking are critical. This technique leverages data obtained from different types of sensors, such as radar, LiDAR, cameras, and thermal sensors, to create a comprehensive understanding of the environment. Recent advancements in data fusion algorithms, machine learning, and signal processing have expanded the potential of multisensor data fusion, enabling the more efficient processing of sensor data and improving the robustness of object tracking systems. This Special Issue delves into innovative methodologies, frameworks, and real-world applications of multisensor data fusion, highlighting its significance in enhancing the detection and tracking capabilities of modern systems.
Prof. Dr. Huafeng Li
Dr. Xiaosong Li
Dr. Yafei Zhang
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. Sensors 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 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
- multisensor fusion
- multisource image fusion
- data fusion algorithms
- object detection
- object tracking
- autonomous systems
- machine learning
- sensor integration
- robotics perception
- signal processing for sensor fusion
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.