Adaptive neuro-fuzzy fusion of sensor data

Petković, Dalibor

doi:10.1016/j.infrared.2014.07.031

Cited by 13 publications

(9 citation statements)

References 23 publications

(21 reference statements)

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“…In the backward pass, the error rates circulate backwards and the premise variables are sychronized through the gradient decline order. More details about ANFIS application can be found in following references (Petković and Ć ojbašić 2012;Petković et al 2012aPetković et al , b, 2013aPetković et al , b, c, 2014aPetković et al , b, c, d, e, f, g, h, 2015aPetković and Pavlović 2013;Petković 2014Petković , 2015a.…”

Section: Estimation Of the Most Influential Science And Technology…mentioning

confidence: 99%

RETRACTED ARTICLE: Estimation of the most influential science and technology factors for economic growth forecasting by soft computing technique

2016

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Economic growth may be developed on the basis on combination of different factors. In this investigation was analyzed the economic growth forecasting based on the different factors. The main goal was to analyze the influence of science and technology factors on the economic growth. Gross domestic product (GDP) was used as economic growth indicator. The method of adaptive neuro fuzzy inference system (ANFIS) was applied to the data in order to select the most influential factors for the GDP growth rate forecasting. Ten inputs are considered: research and development (R&D) expenditure in GDP, scientific and technical journal articles, patent applications for nonresidents, patent applications for residents, trademark applications for nonresidents, trademark applications for residents, total trademark applications, researchers in R&D, technicians in R&D and high-technology exports. The ANFIS process for variable selection was also implemented in order to detect the predominant factors affecting the forecasting of GDP growth rate.

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Section: Estimation Of the Most Influential Science And Technology…mentioning

confidence: 99%

RETRACTED ARTICLE: Estimation of the most influential science and technology factors for economic growth forecasting by soft computing technique

2016

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“…Moreover, the Gaussian inverse Wishart probability hypothesis density filter (GIW-PHD) is applied to track the segmented objects. In reference [113], low-level information fusion performed by LiDAR and camera and then applied the range and angular information of LiDAR to generate ROIs in corresponding images, and they merged the target lists generated by LiDAR, MMW-Radar, and camera ultimately. Target fusion handles the complementarity between sensors.…”

Section: Fusion Strategy Based On Target Attributesmentioning

confidence: 99%

Multi-Sensor Fusion in Automated Driving: A Survey

2020

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With the significant development of practicability in deep learning and the ultra-highspeed information transmission rate of 5G communication technology will overcome the barrier of data transmission on the Internet of Vehicles, automated driving is becoming a pivotal technology affecting the future industry. Sensors are the key to the perception of the outside world in the automated driving system and whose cooperation performance directly determines the safety of automated driving vehicles. In this survey, we mainly discuss the different strategies of multi-sensor fusion in automated driving in recent years. The performance of conventional sensors and the necessity of multi-sensor fusion are analyzed, including radar, LiDAR, camera, ultrasonic, GPS, IMU, and V2X. According to the differences in the latest studies, we divide the fusion strategies into four categories and point out some shortcomings. Sensor fusion is mainly applied for multi-target tracking and environment reconstruction. We discuss the method of establishing a motion model and data association in multi-target tracking. At the end of the paper, we analyzed the deficiencies in the current studies and put forward some suggestions for further improvement in the future. Through this investigation, we hope to analyze the current situation of multi-sensor fusion in the automated driving process and provide more efficient and reliable fusion strategies.

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“…ANFIS designates excessive captivating in and projection abilities, which varieties it a creative device to achieve practiced susceptibilities in any outline. A neural organization is accessible, which can essence the assessable possessions of the models during the planning terms [1]. Image fusion method has been utilized in pronounced domains: medical image processing, satellite image processing, computer vision, involuntary change recognition, biometrics and armed solicitations.…”

Section: *Author For Correspondencementioning

confidence: 99%