Visual Sensing Methods for 3D Object Detection, Tracking, and Quantification
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 1901
Special Issue Editor
Special Issue Information
Dear Colleagues,
Special Issue on Visual Sensing Methods for 3D Object Detection, Tracking, and Quantification.
There are many ways to define our relationship to the physical world around us, but a fundamental metric of interest in a variety of real-world applications is our position and the position of objects of interest in our vicinity. A variety of sensing mechanisms have been proposed, studied and developed for 3D perception, ranging from stereoscopic vision, ultrasonics, photogrammetry, structured light, lidar, time-of-flight, radar, and RGB-D systems. These methods exploit fundamental physical relationships and incorporate advances in electronics, algorithms, and computational platforms to enable better sensing of our world and the objects in it. The addition of machine learning methods to these fundamental physical methods has also introduced improvements to the methods, especially with respect to object detection, recognition and tracking, but should also quantify where measurements and data-driven estimates diverge. This Special Issue encompasses new ideas for visual sensors and their applications in 3D object detection and tracking. Topics include physical sensing methods; new algorithms for object recognition and position estimation in the physical world; implementations on mobile and computationally limited platforms; methods for the fusion of visual sensors with other modalities; and other related concepts. Accepted papers should include sensing that encompasses "visual" sensing but potentially encompassing non-visible light sensing and processing as well.
Prof. Dr. Thomas P Karnowski
Guest Editor
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Keywords
- 3D object detection, tracking
- visual sensing
- RGB-D systems
- lidar
- radar
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