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Experimental evaluation of data fusion algorithm for residual generation in detecting UAV servo actuator fault by Sahwee Z., Rahman N.A., Sahari K.S.M.

Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke by Henry Friday , Nweke

“…Human activity detection through fusion of multimodal sensors are vital steps to achieve automatic and comprehensive monitoring of human behaviours, build smart home systems and detect sports activities. …”
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Brovey Transform Based Image Fusion For Impurities Segmentation And Detection On Edible Bird’s Nest by Kee, Seow Pei

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A review of automatic driving target detection based on camera and millimeter wave radar fusion technology by Tao, Zhenhua, Ngui, Wai Keng

“…Future research should focus on developing comprehensive multimodal datasets, 4D millimeter-wave radar, and refining fusion algorithms for robustness in diverse environments. …”
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Relative position-based collision avoidance system for swarming UAVs using multi-sensor fusion by Rambabu, Rethnaraj, Bahiki, Muhammad Rijaluddin, Md Ali, Syaril Azrad

“…A collision avoidance algorithm that decides evasive manoeuvres in two dimensional flight by the means of net error calculation was developed. …”
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An estimation algorithm for improved maritime obstacle detection by Amir Alaqeb, Abdelrhman Mohamed, Rashid, Muhammad Mahbubur, Mohd Zaki, Hasan Firdaus, Embong, Abd Halim

“…A specialized ROS node facilitates data fusion by prioritizing ZED2I camera data, enhancing detection accuracy through comparisons with LiDAR data. …”
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Odor Recognition Using Fuzzy Logic Algorithm by Azahar, Ratnawati, I T. M, Shariffah Nur Rasyidah, NurAtiqah Nadiah

Frontal View Gait Recognition With Fusion of Depth Features From a Time of Flight Camera by Tengku Mohd Afendi, Zulcaffle, Fatih, Kurugollu, Crookes, Danny, Ahmed, Bouridane, Mohsen, Farid

“…The four-part method includes: a new human silhouette extraction algorithm that reduces the multiple reflection problem experienced by ToF cameras; a frame selection method based on a new gait cycle detection algorithm; four new gait image representations; and a novel fusion classifier. …”
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Frontal view gait recognition with fusion of depth features from a time of flight camera by Tengku Mohd Afendi, Zulcaffle, Kurugollu, F., Crookes, D., Bouridane, A., Farid, M.

“…The four-part method includes: A new human silhouette extraction algorithm that reduces the multiple reflection problem experienced by ToF cameras; a frame selection method based on a new gait cycle detection algorithm; four new gait image representations; and a novel fusion classifier. …”
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Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background by Khalid, Eman Thabet, Khalid, Fatimah, Sulaiman, Puteri Suhaiza, Yaakob, Razali

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Wearable Sensor Feature Fusion for Human Activity Recognition (HAR) : A Proposed Classification Framework by Norfadzlan, Yusup, Adnan Shahid, Khan, Izzatul Nabila, Sarbini, Nurul Zawiyah, Mohamad

“…Due to the extensive feature engineering and human feature extraction required by traditional machine learning algorithms, they are time consuming to develop. To identify complicated human behaviors, deep learning approaches are more suited since they can automatically learn the features from the data. …”
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Improvement of vertical height accuracy using data fusion technique for terrain mapping in oil palm plantation by Muhadi, Nur 'atirah

“…The application has been successfully developed and tested in the field. On the whole, it is concluded that data fusion is a promising technique for increasing the accuracy of IfSAR-derived DEM in oil palm plantation.…”
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Fusion of linear and nonlinear functional model for cadastral network adjustment / Nazurah Syahzanani Amiruddin by Amiruddin, Nazurah Syahzanani

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Computed tomography and echocardiography image fusion technique for cardiac images by Kalahroodi, Samaneh Mazaheri

“…The fusion system is developed as following: First, multiple Echocardiography images are compounded to get a better quality image with wider field of view. …”
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Design and Development of Artificial Intelligence (Al)-Based Desicion Support System For Manufacturing Applications by Lim , Chee Peng

“…Tube B images are needed to evaluate the performance of the developed defect detection algorithm under different radiography conditions. …”
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Sensors Fusion based Online Mapping and Features Extraction of Mobile Robot in the Road Following and Roundabout by Ali, Mohammed A. H., Musa, Mailah, Wan Azhar, Wan Yusoff, Zamzuri, Hamedon, Zulkifli, Md. Yusof, Anwar, P. P. Abdul Majeed

“…A road feature extraction based mapping system using a sensor fusion technique for mobile robot navigation in road environments is presented in this paper. …”
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Development of Sense and Avoid system based on multi sensor integration for unmanned vehicle system by Legowo, Ari, Ramli, M. Faiz, Syafiq Shamsudin, Syariful

“…Dissimilar kind of sensors which is optical and laser type is proposed to be employed, so that weaknesses from each individual sensor can be tolerated. Proper logics or algorithm related to the fusion of output from each sensor will also be studied.The combination of Extended Kalman Filter (EKF) and Differential Evolution(DE) method is used for the purpose of development of detection and tracking system which considered to be the main challenges in SAA system development. …”
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Internet of Things-based Home Automation with Network Mapper and MQTT Protocol by Alam T., Rokonuzzaman M., Sarker S., Abadin A.F.M.Z., Debnath T., Hossain M.I.

“…The proposed system is developed using a Raspberry Pi 3 Home Server (RHS) driven by the Support Vector Machine (SVM) algorithm. …”

Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

“…This improved algorithm, known as the edge-template Contour Delineation (etCD), is based on the fusion of edge detection with corner-template detection and dynamic thresholding to produce enhanced edge map. …”
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Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study by Wenjun, Ji, Adamchuk, Viacheslav I., Song, Chao Chen, Mat Su, Ahmad S., Ismail, Ashraf, Qianjun, Gan, Zhou, Shi, Biswas, Asim

“…To assess the potential of data fusion for the purpose of improving thematic soil mapping over the single sensor approach, data from multiple proximal soil sensors were combined to develop and validate predictive relationships with laboratory-measured soil physical and chemical properties. …”
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