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Special Issue "Multi-Sensor Fusion for Target Detection and Tracking"

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

Deadline for manuscript submissions: 31 October 2023 | Viewed by 1994

Special Issue Editors

Automatic Target Recognition (ATR) Key Lab, College of Electronic Science and Engineering, National University of Defense Technology (NUDT), Changsha 410073, China
Interests: devleoping air-to-ground sensing algorithms for drones (e.g. classification, detection, tracking, localization and mapping)
Special Issues, Collections and Topics in MDPI journals
School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China
Interests: computer vision; image processing; object tracking; visual tracking
Prof. Dr. Yan Zhang
E-Mail Website
Guest Editor
College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
Interests: small object detection; multiple object tracking
Dr. Yangliu Kuai
E-Mail Website
Guest Editor
College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Interests: visual tracking and machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With continuous applications in the civilian and military domains, object detection and tracking is drawing increasing attention. Visible light cameras are one of the most popular imaging sensors. Existing detection and tracking algorithms deal well with single-modal (visible) observation data and fail in dark or foggy scenarios. To address the above issue, Sensor fusion is indicated as an open research issue as well to achieve better detection and tracking results in comparison to a single sensor. In this special issue, multi-modal sensor data (i.e., visible, thermal, time, location, altitude, IMU) are collected in real-world outdoor environments. We believe the multi-modal sensor data can boost object detection and tracking performance. The expected outcomes of this special issue are of great theoretical and practical value for improving the environmental perception ability of robots or drones under complex scenarios.

Dr. Dongdong Li
Prof. Dr. Dong Wang
Prof. Dr. Yan Zhang
Dr. Yangliu Kuai
Guest Editors

Manuscript Submission Information

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Keywords

  • object detection
  • object tracking
  • multi-modal sensing
  • multi-sensor fusion

Published Papers (1 paper)

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Research

Article
Defogging Algorithm Based on Polarization Characteristics and Atmospheric Transmission Model
Sensors 2022, 22(21), 8132; https://doi.org/10.3390/s22218132 - 24 Oct 2022
Viewed by 693
Abstract
We propose a polarized image defogging algorithm according to the sky segmentation results and transmission map optimization. Firstly, we propose a joint sky segmentation method based on scene polarization information, gradient information and light intensity information. This method can effectively segment the sky [...] Read more.
We propose a polarized image defogging algorithm according to the sky segmentation results and transmission map optimization. Firstly, we propose a joint sky segmentation method based on scene polarization information, gradient information and light intensity information. This method can effectively segment the sky region and accurately estimate the global parameters such as atmospheric polarization degree and atmospheric light intensity at infinite distance. Then, the Gaussian filter is used to solve the light intensity map of the target, and the information of the polarization degree of the target is solved. Finally, based on the segmented sky region, a three-step transmission optimization method is proposed, which can effectively suppress the halo effect in the reconstructed image of large area sky region. Experimental results shows that defogging has a big improvement in the average gradient of the image and the grayscale standard deviation. Therefore, the proposed algorithm provides strong defogging and can improve the optical imaging quality in foggy scenes by restoring fog-free images. Full article
(This article belongs to the Special Issue Multi-Sensor Fusion for Target Detection and Tracking)
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