Akif Durdu

Konya Technical University | KTUN · Electrical-Electronics Engineering

UAV technology is rapidly advancing and widely utilized, particularly in social and military domains, due to its extensive motion and maneuverability. Coordinating multiple UAVs enables more rapid and efficient task execution compared to a single UAV. The proliferation of UAVs across various sectors, including entertainment, transportation, deliver...

In this study, a method utilizing a 3D LiDAR(Light Detection and Ranging) sensor for mapping and obstacle detection in autonomous vehicles has been developed. The LiDAR sensor employs laser beams to detect the positions and distances of surrounding objects. Data from the LiDAR were processed to generate 2D maps from the 3D point cloud. During this...

This research presents a novel approach for autonomous navigation of Unmanned Ground Vehicles (UGV) using a camera and LiDAR sensor fusion system. The proposed method is designed to achieve a high rate of obstacle detection, distance estimation, and obstacle avoidance. In order to thoroughly study the form of things and decrease the problem of obje...

Dead reckoning estimates the current position, speed, and direction of moving objects using known position information. Localization determines an object's location on the map, categorized into human and vehicle localization. Autonomous vehicles rely on accurate vehicle localization for effective task execution. While Global Navigation Satellite Sy...

Technological developments in industrial areas also impact unmanned aerial vehicles (UAVs). Recent improvements in both software and hardware have significantly increased the use of many UAVs in social and military fields. In particular, the widespread use of these vehicles in social areas such as entertainment, shipping, transportation, and delive...

An autonomous vehicle must be able to locate itself precisely and reliably in a large-scale outdoor area. In an attempt to enhance the localization of an autonomous vehicle based on Global Navigation Satellite System (GNSS)/Camera/Inertial Measurement Unit (IMU), when GNSS signals are interfered with or obstructed by reflected signals, a multi-step...

The integration of artificial intelligence and robotic automation into healthcare is realising significant growth, enabling robots to operate with greater autonomy and perform a variety of repetitive delivery tasks independently. Meeting the needs of patients with susceptible chronic diseases is a challenge in healthcare sector. To ensure the safet...

More than one homogenous or heterogenous type unmanned vehicle can work in a coordinated manner and perform large-scale swarm tasks (firefighting, search and rescue, mapping, and military operations, etc.) efficiently in a shorter time by sharing tasks. Collision of these vehicles is among the most significant problems encountered during their work...

Dünya genelinde hızlı nüfus artışı, özellikle büyükşehirlerde trafik problemlerine ve trafik sıkışıklığına neden olmaktadır. Trafik sıkışıklığı sorunu her geçen gün artarak şehirlerin en büyük sorundan biri haline gelmektedir. Trafik yoğunluğunun nedenleri göz önüne alındığında ve diğer etkenlerle karşılaştırıldığında trafik ışıkları sinyal kontrol...

Bu çalışmanın amacı, trafik yönetimi ve güvenliği için akıllı ulaşım sistemlerini geliştirmek için bir Vehicle-to-Infrastructure (V2I) tabanlı modülün tasarımı ve geliştirilmesidir. Mevcut trafik sinyalizasyon sistemlerine entegre edilebilen bu modül, araçlarla gerçek zamanlı iletişim kurarak trafik verilerinin alınmasını ve paylaşılmasını sağlamak...

Bu çalışma, İnsansız Hava Aracı (İHA) destekli topluluk takibinin yapılması ve yüz veritabanı desteği ile topluluk içinde bulunan kişilerin tespiti, sayımı ve müdahalesi konularına mekanik, elektronik ve yazılım destekli çözümler sunar. Çalışma kapsamında, müdahale için bir adet Quadcopter İHA ve gözlem için ise Hexacopter İHA kullanılmaktadır. Tes...

Yapay Zeka ve Robotik Otomasyonun konaklama sektörüne entegrasyonu, daha yüksek verimlilik ve doğruluk, tekrar eden görevler için daha düşük işgücü maliyeti, iyileştirilmiş müşteri deneyimi, hijyen ve güvenlik ve teknoloji meraklısı müşterileri çekmek için teknolojik yenilikler gibi çeşitli faydalar sunmaktadır. Teknoloji, restoranların dijital dön...

Bu çalışmada, bir hava aracının GPS konumu ile üzerinde bulunan monoküler kameranın yatay görüş açısı (HFOV), dikey görüş açısı (VFOV), çözünürlüğü ve odak uzaklığı gibi özellikleri kullanılarak piksel başına düşen açı hesabı gerçekleştirilmiştir. Bu hesaplama, hava aracının perspektifinden kamera görüş alanındaki herhangi bir pikselin gerçek dünya...

Unmanned Aerial Vehicles are subject to a range of disturbances during flight, including sensor noise, strong winds and turbulence, nonlinear pattern changes, and time delays. These effects can have a significant impact on the flight quality and control of Unmanned Aerial Vehicles. As a result, there has been a growing interest in researching Unman...

The number of studies on autonomous vehicle systems is increasing day by day. Autonomous vehicles can perform various tasks without human intervention. However, in the environment where these tasks are performed, there are locations that can pose a danger in terms of width and height. These locations are generally referred to as narrow spaces. The...

Autonomous vehicles use many technologies and methods to detect and act on surrounding objects. The most common among these technologies is an algorithm called YOLO (You Only Look Once). This algorithm quickly detects objects in an image and classifies these objects accurately. This study examines the use of the YOLO algorithm for signage detection...

Günümüz sensör teknolojilerinin gelişimi ile saptanan veri çeşitliliği ve doğruluk oranları önemli oranda artmıştır. Tespit edilen verilerin çeşitliliği ve doğruluk oranlarının yüksek olmasıyla da yönetim algoritmalarının yetenekleri gelişmiş olup günlük yaşamımıza olumlu olarak çeşitli alanlarda yansımaktadır. Sinyalize kavşaklarda genel olarak sa...

The basic conditions for mobile robots to be autonomous are that the mobile robot localizes itself in the environment and knows the geometric structure of the environment (map). After these conditions are met, this mobile robot is given a specific task, but how the robot will navigate for this task is an important issue. Especially for Unmanned Aer...

In this era, interpreting and processing the data of traffic signs has crucial importance for improving autonomous car technology. In this respect, the relationship between the recognition of traffic signs and industrial applications is highly relevant. Although real-world systems have reached that related market and several academic studies on thi...

Makine öğrenmesinin önemli bir parçası olan Pekiştirmeli Öğrenme (PÖ) son yıllarda araştırmacıların büyük ilgisini çekmiştir. PÖ özellikle robot kontrolü ve oyunlar gibi birçok alanda iyi performans göstermektedir. PÖ denetimsiz öğrenme ve sistem modeli olmadan çalışabilmesi nedeniyle endüstriyel proses kontrolünde kullanılması düşünülmüştür. Bu ça...

In the upcoming years, autonomous vehicle technology will advance quickly and spread widely. The most crucial component of such systems is vehicle localization or position estimation. The global navigation satellite system (GNSS) is the one of the most advanced positioning system currently in use. But the GNSS signals could be interrupted or degrad...

Artificial intelligence (AI) is undergoing a ground-breaking period. Recently, AI affects almost every part of human life. Using AI in path planning for Unmanned Aerial Vehicle (UAV) attracts attention as a novel need. The inputs that form the base of UAV use in photogrammetry are UAV Type (UT), Ground Sampling Distance (GSD), Overlap Rates (OR), a...

Sensor fusion is used to solve the localization problem in autonomous mobile robotics applications by integrating complementary data acquired from various sensors. In this study, we adopt Visual-Inertial Odometry (VIO), a low-cost sensor fusion method that integrates inertial data with images using a Deep Learning (DL) framework to predict the posi...

This paper proposes the Internet of Things-based real-time adaptive traffic signal control strategy. The proposed model consists of three-layer; edge computing layer, fog computing layer, and cloud computing layer. The edge computing layer provides real-time and local optimization. The middle layer, which is the fog computing layer, performs a real...

The use of unmanned aerial vehicles (UAV) systems has increased in recent years. Therefore,studies on UAVs have increased today. In this direction, the production of UAV systems with domestic resources has gained importance. In this study, it is desired to develop a domestic and national flight control card and software. In the flight control board...

Unmanned underwater vehicles (ROV/AUV) are autonomous or remotely controlled robotic systems that can move underwater at any desired angle. Unmanned underwater vehicles; It is used in areas such as underwater image taking, ship maintenance and repair, coast guard, examination of shipwrecks, underwater cleaning. In this study, the software design of...

The sunn pest–damaged (SPD) wheat grains negatively affect the flour quality and cause yield loss. This study focuses on the detection of SPD wheat grains using deep learning. With the created image acquisition mechanism, healthy and SPD wheat grains are displayed. Image preprocessing steps are applied to the captured raw images, then data augmenta...

Artificial intelligence researchers conducted different studies to reduce the spread of COVID-19. Unlike other studies, this paper isn't for early infection diagnosis, but for preventing the transmission of COVID-19 in social environments. Among the studies on this is regarding social distancing, as this method is proven to prevent COVID-19 to be t...

Reflectance Transformation Imaging (RTI) is a method of photographing an object that reveals details that are invisible to the naked eye. The input of RTI consists of a series of images captured by a fixed positioned camera and each illuminated from a known and different direction by lights. Reflection Transform Imaging is widely used to produce qu...

This study estimates the pose of Unmanned Aerial Vehicle (UAV) through artificial intelligence-based approaches and combines visual-inertial information in a different way than previous studies. For an effective fusion, the inertial data between both frames is normalized after denoising with the Savitzky-Golay technique and finally converted from n...

In this study, position control of a SCARA robot manipulator is investigated using the sliding mode control (SMC) method based on parameter optimization using The Bees Algorithm. The modeling the SCARA manipulator is conducted in MSC Adams and the control implementation is carried out in MATLAB software. The numerical model of the SCARA manipulator...

The increasing world population makes it necessary to fight challenges such as climate change and to realize production efficiently and quickly. However, the minimum cost, maximum income, environmental pollution protection and the ability to save water and energy are all factors that should be taken into account in this process. The use of informat...

The coronavirus outbreak 2019, called COVID-19, which originated in Wuhan, negatively affected the lives of millions of people and many people died from this infection. To prevent the spread of the disease, which is still in effect, various restriction decisions have been taken all over the world. In addition, the number of COVID-19 tests has been...

Autonomous robotic systems (ARS) serve in many areas of daily life. The sensors have critical importance for these systems. The sensor data obtained from the environment should be as accurate and reliable as possible and correctly interpreted by the autonomous robot. Since sensors have advantages and disadvantages over each other they should be use...

The need for self-driving unmanned vehicles has increased in many sectors such as industry, health sector, defense industry, where the use of manpower is dangerous or impossible. Unmanned underwater vehicles are underwater robots that can perform various underwater tasks without the need for any operators on them. They can be equipped to play a mor...

Underwater vehicles are actively used in many application areas. It is available in unmanned underwater vehicles that can be controlled remotely, as well as vehicles capable of operating autonomously. Unmanned underwater vehicles; It is involved in areas such as search and rescue, underwater reconnaissance and observation, military applications. Th...

The importance and application of systems that work without human involvement are growing in many industries, particularly in the defense industry. Although minimizing the human role in these systems saves money and time, it also introduces new challenges if the accuracy rate in image processing systems isn't high enough. Erroneous traffic sign det...

This paper presents the trajectory tracking control of a two-link planar robot manipulator using MSC Adams and MATLAB co-simulation which enables the innovative virtual prototyping of the systems without any mathematical expressions. Firstly, the tracking control performance of the planar manipulator is investigated using the Sliding Mode Control (...

Adaptive traffic signal control is the control technique that adjusts the signal times according to traffic conditions and manages the traffic flow. Reinforcement learning is one of the best algorithms used for adaptive traffic signal controllers. Despite many successful studies about Reinforcement Learning based traffic control, there remains unce...

Nowadays submersible deep well pumps are the most used irrigation systems in agriculture field. Efficient operation and economical life of pumps is an important issue. One of the most important parameters affecting pump efficiency and life is cavitation The cavitation is one of the problems frequently faced in the pump systems that widely used in t...

Visual Simultaneous Localization and Mapping (VSLAM) and Visual Odometry (VO) are fundamental problems to be properly tackled for enabling autonomous and effective movements of vehicles/robots supported by vision-based positioning systems. This study presents a publicly shared dataset for SLAM investigations: a dataset collected at the Yildiz Techn...

Breast cancer is one of the most common forms of cancer among women in our country and the world. Artificial intelligence studies are growing in order to reduce the mortality and early diagnosis needed for appropriate treatment. The Excessive Learning Machines (ELM) method, one of the machine learning approaches, is applied to the Wisconsin Breast...

Autonomous mobile robots, an important research topic today, are often developed for smart industrial environments where they interact with humans. For autonomous movement of a mobile robot in an unknown environment, mobile robots must solve three main problems; localization, mapping and path planning. Robust path planning depends on successful loc...

In the past, the Webster optimal cycle time formula was limited to calculate the optimal cycle from historical data for fixed-time traffic signal control. This paper focuses on the design of an adaptive traffic signal control based on fuzzy logic with Webster and modified Webster’s formula. These formulas are used to calculate the optimal cycle tim...

The aim of this study is to effectively evaluate numerical data, which are frequently encountered in the medical field, with popular deep learning-based Convolutional Neural Network (CNN) models. Heart failure is a common disease worldwide and it is very important to identify patients with a high survival rate and whose condition will deteriorate....

Mobile robots are high-performance robots that are used to perform a specific function in environments such as land, air and water, with free movement options and are equipped with many sensors for different processing capabilities. Today, it is used in many tasks such as object detection, tracking and mapping. Mobile robots used in mapping impleme...

Deep learning (DL) based localization and Simultaneous Localization and Mapping (SLAM) has recently gained considerable attention demonstrating remarkable results. Instead of constructing hand-crafted algorithms through geometric theories, DL based solutions provide a data-driven solution to the problem. Taking advantage of large amounts of trainin...

Decision making could be critically important for people in some situations. People have intentions to choose a side if it is time to make decision. These intentions are strongly related to the knowledge and experience. But sometimes outer effects could reshape their intentions easily. In this paper, an experimental work is studied for Human-Machin...

The changes that positive or negative results cause in an individual's behavior are called Operant Conditioning. This paper introduces an operant conditioning approach (OCA) for large scale swarm optimization models. The proposed approach has been applied to social learning particle swarm optimization (SL-PSO), a variant of the PSO algorithm. In SL...

The use of unmanned aerial vehicles (UAV) is increasing today. UAVs can be divided into two parts, which are remote controlled and can travel automatically due to a certain battery problem. Recent research has also focused on the development and application of new algorithms to autonomously control these vehicles and determine the shortest flight p...

Transportation vehicles refer to the vehicles used to transport people's needs and goods from one area to another. Intelligent traffic signalling systems are needed due to the increase in the number of vehicles in traffic, the roads used, the insufficiency of the surrounding areas and the inability to widen these roads or construct upper / lower ro...

Real-time traffic signal control is the control methods that control the traffic signal according to the instant traffic situation. In this paper, it is suggested to optimize the traffic control problem with the swarm-based heuristic optimization algorithms. The proposed methods are tested with the real traffic data obtained from Kilis city in Turk...

Accuracy Assesment DEM SfM UAV Unmanned Aerial Vehicles (UAV) use in the production of the map for photogrammetric purposes. Unlike aerial photogrammetry, UAV cameras are non-metric amateur cameras. Therefore, they need some operations to use in photogrammetry. Structure from Motion (SfM) algorithms prefers for processing images because of the usag...

The vortex means the mass of air or water that spins around very fast that often faced in the agriculture irrigation systems used the pump. The undesired effects like loss of hydraulic performance, erosion, vibration and noise may occur because of the vortex in pump systems. It is important to detect and prevent vortex for the economic life and eff...

Coronavirus disease 2019 (COVID-2019), which emerged in Wuhan, China in 2019 and has spread rapidly all over the world since the beginning of 2020, has infected millions of people and caused many deaths. For this pandemic, which is still in effect, mobilization has started all over the world, and various restrictions and precautions have been taken...

Özet-Bu çalışmada, iki linkli düzlemsel bir robot manipülatörün bozucu etki altında yörünge kontrolü yapılmıştır. ADAMS yazılımı vasıtasıyla manipülatörün sanal bir prototipi oluşturulmuştur. Ayrıca, sistem için gerekli olan kontrolcü tasarımı MATLAB/Simulink ortamında gerçekleştirilmiştir. Sistemin simülasyonu ise MATLAB ve ADAMS yazılımlarının eş...

Robots are mechanical devices programmed to perform certain repetitive functions. They can also be programmed to perform many tasks that can be complex or dangerous for humans. In order for robots to be used more effectively and resources more efficiently, they must cross the distance between the starting points and the target points with the least...

The need for unmanned underwater vehicles is increasing in the world and in our country. The use of unmanned underwater vehicles in ocean exploration, search and rescue, military and industrial applications is expanding day by day. In particular, unmanned underwater vehicles are an attractive option for underwater search, research and survey operat...

The use of Unmanned Aerial Vehicles (UAV) has become popular in many fields, especially in the defense industry. Especially in autonomous flights, UAVs that are exposed to variable environmental disruptive effects are shown as a difficult problem to successfully complete their duties. In this study, a high-mobility and low-cost rotary wing UAV with...

Unmanned underwater vehicles have become a tool needed in military, commercial and research review areas. underwater vehicles can take an active role in underwater search and rescue activities to remove objects from underwater and to make repairs with the arms to be mounted. In addition, they can undertake tasks such as target tracking and mapping...

Unmanned underwater vehicles (ROV/AUV) are robotic systems that can float underwater, are autonomous and remotely controlled. Nowadays, the Navy has focused on the operational use of unmanned underwater vehicles in the defense industry and in many areas, and has increased interest in this issue. Unmanned underwater vehicles. Unmanned underwater veh...

Unmanned underwater vehicles (ROV/AUV) are robotic systems that can float underwater, are autonomous and remotely controlled. The first unmanned underwater vehicle on record was designed by Luppis Whitehead Automobile in the form of a torpedo in 1864. The first vehicle designed in the same sense used today was designed by Dimitri Rebikoff in 1953....

Unmanned underwater vehicles (ROV/AUV) are robotic systems that can float underwater, are autonomous and remotely controlled. Today, unmanned underwater vehicles are used in a wide range of areas such as underwater search and rescue operations, ship underwater maintenance and repair operations, taking images from dangerous environments where divers...

In recent years there has been a great deal of research and study in the field of visual odometry, which has led to the development of practical processes such as visual based measurement in robotics and automotive technology. Direct methods, feature-based methods and hybrid methods are three common approaches in solving visual odometry problems an...

In this paper, a simple and economic yet efficient autonomous mapping and navigation system for unmanned aerial vehicles is presented. In order to realize this system, three modules have been implemented. First module constructs a 3D model of the environment while autonomously navigating the drone and is based on one of the top monocular SLAM algor...

The significance of unmanned systems is increasing day by day. These systems, which have the capacity to decide on their own, are used in many fields, especially military ones. Unmanned systems designed for reasons such as minimizing human factors, saving time and cost have created new challenges. In the case of robots with autonomous mobility, the...

The most important conditions for the use of mobile robots in our daily life is that they have to have information about their location, map, etc. So that it is possible to pave the way for advanced applications. Simultaneous Localization and Mapping (SLAM) is a way of having position and map information of the mobile robots. On the other hand, vSL...

Traffic control systems for an urban traffic management play an important role in reducing congestion and the negative effects of social and economic aspects. In this paper, the coordinated control method for an arterial road network is proposed. The proposed method is based on fuzzy logic and Webster optimum cycle formula. It is a cyclic method, w...

BACKGROUND Wheat, which is an essential nutrient, is an important food source for human beings because it is used in flour and feed production. As in many nutrients, wheat plays an important role in macaroni and bread production. The types of wheat used for both foods are different, namely bread and durum wheat. A strong separation of these two whe...

Human activity recognition (HAR) has quite a wide range of applications. Due to its widespread use, new studies have been developed to improve the HAR performance. In this study, HAR is carried out using the commonly preferred KTH and Weizmann dataset, as well as a dataset which we created. Speeded up robust features (SURF) are used to extract feat...

BRISK FAST Image Mosaicing SURF UAV It was aimed that the images were acquired with two different types of UAV by feature-based transformation algorithms such as SURF (Speeded Up Robust Features), FAST (Features from Accelerated Segment Test) and BRISK (Binary Robust Invariant Scalable Keypoints) in this study. Images (acquired by both UAV types) g...

Applications in the Human Machine Interaction (HMI) field are increasing since people and robots share the same environment and perform activities together. Therefore, robust detection and strong tracking methods are required. This study is about human detection and tracking. For detection, two different approaches, Histogram of Oriented Gradients...

The use of Fuzzy Logic Controller (FLC) as speed controller for Induction Motor (IM) drives is garnering strong researchers’ interest since it has proven to achieve superior performance compared to conventional controllers. The aim of this study is to review and investigate the design, operations, and effects of rules reduction for FLC in IM drives...

Image denoising is the detection and removal of outliers in a image. A measured analog signal is affected by both the device from which the measurement is performed and the noise from the environment. Various types of noise are available. With the developed noise reduction methods, it is tried to eliminate the existing noise. In this study, Bandele...

Medical imaging plays an important role in the diagnosis and treatment of different diseases. Images with more details are obtained by image fusion for more accurate analysis of medical images. In this study, Computed Tomography (CT) and Magnetic Resonance (MR) images of the liver from The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LI...

Decision making and movement control are used for mobile robots to perform the given tasks. This study presents a real-time application in which the robotic system estimates the shortest way from robot’s current location to target point via Q-learning algorithm and makes decision to go the target point on the estimated path by using movement contro...

In this study, a motion control based on fuzzy logic is designed so that mobile robots can make the turns they make when moving in an unknown environment more flexibly and smoothly. Fuzzy logic control is suitable for controlling mobile robots because the results can be obtained under uncertainty. Fuzzy logic control is implemented through a set of...

This paper outlines the methodology and experiments associated with the reshaping of human intentions based on robot movements within Human-Robot Interactions (HRIs). Although studies on estimating human intentions are well studied in the literature, reshaping intentions through robot-initiated interactions is a new significant branching in the fie...

Ulaşım araçları, insanların ihtiyaçlarını ve mallarını bir alandan diğer bir alana taşımak amacıyla kullanılan araçları ifade eder. Bu araçlar, eski çağlardan günümüz zamanına kadarki tüm araçları içerir. Trafikteki araç sayılarının artması, kullanılan yollar etrafındaki alanların yetersizliği ve bu yolların genişletilememesi veya alt/üst yollar ya...

A noiseless image is desirable for many applications. However, this is not possible. Generally, wavelet-based methods are used to noise reduction. However, due to insufficient performance of wavelet transforms (WT) on images, different multi-resolution analysis methods have been proposed. In this study, one of them is Contourlet Transform (CT) and...

Together with the developing technology, robotic systems are used in many areas such as defence technologies, manufacturing industry, search and rescue. The integration of these systems into different areas decreases the need for manpower and has a positive effect on cost. From the past to the present, architectural structures have been made by man...

Map merging is a noteworthy phenomenon for cases such as search and rescue and disaster areas in which the duration is quite significant when gathering information about an environment. It is obvious that the total mapping time decreases if the number of agents (robots) increases. However, the use of multiple agents leads to problems such as task a...

In this paper, the real-time position control of servo system is carried out using sliding mode control (SMC) method based on variable structure control (VSC). As DC Motors are commonly used in many industrial applications and robotics, studies in this paper have are tested on a DC servo system, which is designed and produced by Quanser Inc. Three...

In this paper, a two-stage fuzzy logic system has been proposed to control an isolated intersection adaptively. The aim of this work is to minimize the average waiting time for a different traffic flow rates in real time means. In the first stage, the system consists of two modules named next phase selection module and the green phase extension mod...

Purpose In this study, human activity with finite and specific ranking is modeled with finite state machine, and an application for human–robot interaction was realized. A robot arm was designed that makes specific movements. The purpose of this paper is to create a language associated to a complex task, which was then used to teach individuals by...

The aim of the human-robot relationship research is to define the models of people's expectations of robot interaction in order to guide robot design and algorithmic development that allows for a more natural and effective interaction between humans and robots. With these models, robots can be used to serve, train, support, entertain, inform, direc...

Plant Diseases are a major problem in the agricultural sector. Accurate and rapid detection of diseases and pests in plants can help to develop an early treatment technique while greatly reducing economic losses. It is very difficult and time-consuming to follow and test the grape disease manually and requires extensive processing time, a tremendou...

Together with the developing technology, robotic systems are used in many areas such as defence technologies, manufacturing industry, search and rescue. The integration of these systems into different areas decreases the need for manpower and has a positive effect on cost. From the past to the present, architectural structures have been made by man...

This study is related to SLAM, also known simultaneous localization and mapping which is highly important and an indispensable issue for autonomous mobile robots. Both an environment mapping and an agent’s localization are provided with SLAM systems. However, while performing SLAM for an unknown environment, the robot is navigated by three differen...

Nowadays industrial applications are built on automatic control systems. The main reason is to convert these control systems and industrial factories into smart ones. By converting them to smart factories, a high-efficiency rate can be acquired. Generally, automatic control systems are controlled by classical logic via PLC (Programmable Logic Contr...

Today, one of the most common types of cancer is breast cancer. It is crucial to prevent the propagation of malign cells to reduce the rate of cancer induced mortality. Cancer detection must be done as early as possible for this purpose. Machine Learning techniques are used to diagnose or predict the success of treatment in medicine. In this study,...

Nowadays studies based on unmanned aerial vehicles draws attention. Especially image processing based tasks are quite important. In this study, several tasks were performed based on the autonomous flight, image processing and load drop capabilities of the Unmanned Aerial Vehicle (UAV). Two main tasks were tested with an autonomous UAV, and the perf...

Solar panels, which are one of the renewable energy fields, are the systems that provide the electric current with the light energy from the sun moving the free electrons in the semiconductors. Considering the social cost which can not be considered in the electricity energy production and which can be called as invisible costs; These panels can be...