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Journal articles on the topic 'Path Detection and following'

Author: Grafiati

Published: 10 September 2021

Last updated: 29 July 2025

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1

Wawrzyniak, Tymon F., Ignacy D. Orłowski, and Marek A. Galewski. "Three-Dimensional Path-Following with Articulated 6DoF Robot and ToF Sensors." Applied Sciences 15, no. 6 (2025): 2917. https://doi.org/10.3390/app15062917.

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This paper presents an algorithm for 3D path-following using an articulated 6-Degree-of-Freedom (DoF) robot as well as experimental verification of the proposed approach. This research extends the classic line-following concept, typically applied in 2D spaces, into a 3D space. This is achieved by equipping a standard industrial robot with a path detection tool featuring six low-cost Time-of-Flight (ToF) sensors. The primary objective is to enable the robot to follow a physically existing path defined in 3D space. The developed algorithm allows for step-by-step detection of the path’s orientati

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Ming, Li Yue, Huang Hai, Xu Yang, Zhang Guocheng, Li Jiyong, and Qin Hongde. "Cognition-based hybrid path planning for autonomous underwater vehicle target following." International Journal of Advanced Robotic Systems 16, no. 4 (2019): 172988141985755. http://dx.doi.org/10.1177/1729881419857554.

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Intelligent path planning is one of the key techniques for autonomous underwater vehicles for the purpose of target detection, environmental survey and so on. In order to realize automatic motion plan, an intelligent cognitive architecture for autonomous underwater vehicle motion planning has been proposed to realize complicated target detection and mobile target following in the disturbance environment. A novel adaptive ant colony optimization and particle swarm optimization fusion-based fuzzy rules optimization algorithm has been proposed to generate optimized fuzzy rules. Through this optim

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3

Kamejima, Kohji. "Stochastic Path Generation for Anticipative Road Following Guided by Saccadic Object Detection." Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2010 (May 5, 2010): 277–82. http://dx.doi.org/10.5687/sss.2010.277.

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Chen, Gang, Dan Liu, Yifan Wang, Qingxuan Jia, and Xiaodong Zhang. "Path planning method with obstacle avoidance for manipulators in dynamic environment." International Journal of Advanced Robotic Systems 15, no. 6 (2018): 172988141882022. http://dx.doi.org/10.1177/1729881418820223.

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Obstacle avoidance is of great importance for path planning of manipulators in dynamic environment. To help manipulators successfully perform tasks, a method of path planning with obstacle avoidance is proposed in this article. It consists of two consecutive phases, namely, collision detection and obstacle-avoidance path planning. The collision detection is realized by establishing point-cloud model and testing intersection of axis-aligned bounding boxes trees, while obstacle-avoidance path planning is achieved through preplanning a global path and adjusting it in real time. This article has t

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Guo, Jinghua, Jin Wang, Ping Hu, and Linhui Li. "Robust guaranteed-cost path-following control for autonomous vehicles on unstructured roads." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 232, no. 7 (2017): 896–908. http://dx.doi.org/10.1177/0954407017713089.

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This paper deals with the problem of automatic path-following control for a class of autonomous vehicle systems with parametric uncertainties and external disturbances in cross-country conditions. In the unstructured environments, the unevenness, the discontinuity and the variability of the terrain greatly increase the parametric uncertainties and the external perturbations of autonomous vehicles. To overcome these difficulties, a novel automatic path-following control scheme of vision-based autonomous vehicles is presented by utilizing the guaranteed-cost control theory. First, a new road det

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Arnab, Saha. "Obstacle Avoidance & Light Following Robot." International Journal of Advances In Scientific Research and Engineering (IJASRE) 3, no. 4 (2017): 162–75. https://doi.org/10.5281/zenodo.583843.

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<em>Obstacle avoidance & light following robot can be used for Industrial purpose & Military operation. The major components include an Arduino Uno R3, Servo motor, BO motor, L298N motor driver, LDR module, Ultrasonic HCSR-04 sensor & holder, Chassis body, Battery & battery holder. The system is controlled by the Arduino Uno R3 module which is an advance version of a microcontroller and a part of embedded system. In this work, we have designed a robot, which is compact, autonomous and fully functional. It is a proposed model which can be used in such an environment, which may b

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Huang, Peichen, Lixue Zhu, Zhigang Zhang, and Chenyu Yang. "Row End Detection and Headland Turning Control for an Autonomous Banana-Picking Robot." Machines 9, no. 5 (2021): 103. http://dx.doi.org/10.3390/machines9050103.

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A row-following system based on machine vision for a picking robot was designed in our previous study. However, the visual perception could not provide reliable information during headland turning according to the test results. A complete navigation system for a picking robot working in an orchard needs to support accurate row following and headland turning. To fill this gap, a headland turning method for an autonomous picking robot was developed in this paper. Three steps were executed during headland turning. First, row end was detected based on machine vision. Second, the deviation was furt

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Kurashiki, Keita, Kazuki Kono, and Takanori Fukao. "LiDAR Based Road Detection and Control for Agricultural Vehicles." Journal of Robotics and Mechatronics 36, no. 6 (2024): 1516–26. https://doi.org/10.20965/jrm.2024.p1516.

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Recently, the population of agricultural workers in Japan has been declining and aging. As a result, labor shortages have become a serious problem in the agricultural industry. However, the strong dependence on food imports has become a problem. To address this situation, it is necessary to increase the efficiency of food production by automating agricultural work. In this study, we focus on transportation in farming, and develop an unmanned transportation truck. Farm roads are often unpaved or otherwise uneven, and the surrounding environment changes dramatically depending on road surface con

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Fatkhurrahman, Januar Arif, and Puji Lestari. "Evaluation NO2 Detection Using Low-Cost Folded-Path Photometer." Journal of Mathematical and Fundamental Sciences 54, no. 3 (2023): 359–71. http://dx.doi.org/10.5614/j.math.fund.sci.2023.54.3.5.

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As it impacts both environmental and health conditions, the measurement of nitrogen dioxide (NO2) in industrial and residential areas needs comprehensive and reliable instrumentation providing long-interference-free operation and minimum maintenance and re-calibration. Differential optical absorption spectroscopy can be used as a direct measurement technique based on the specific absorption characteristics of NO2 following the Beer-Lambert law. This paper proposes a low-cost folded-path photometer to measure NO2 in the air. Cheap tubular acrylic was used as a detection cell with a 3D printed f

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Seo, Dasom, Jin-Ho Won, Changju Yang, et al. "Development of Boundary Detection Methods Based on Images for Path Following of Autonomous Tractor." Journal of Korean Institute of Communications and Information Sciences 46, no. 11 (2021): 2078–87. http://dx.doi.org/10.7840/kics.2021.46.11.2078.

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11

Neloy, Asif Ahmed, Rafia Alif Bindu, Sazid Alam, et al. "Alpha-N-V2: Shortest Path Finder Automated Delivery Robot with Obstacle Detection and Avoiding System." Vietnam Journal of Computer Science 07, no. 04 (2020): 373–89. http://dx.doi.org/10.1142/s2196888820500219.

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An improved version of Alpha-N, a self-powered, wheel-driven Automated Delivery Robot (ADR), is presented in this study. Alpha-N-V2 is capable of navigating autonomously by detecting and avoiding objects or obstacles in its path. For autonomous navigation and path planning, Alpha-N uses a vector map and calculates the shortest path by Grid Count Method (GCM) of Dijkstra’s Algorithm. The RFID Reading System (RRS) is assembled in Alpha-N to read Landmark determination with Radio Frequency Identification (RFID) tags. With the help of the RFID tags, Alpha-N verifies the path for identification bet

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Villa, Jose, Jussi Aaltonen, Sauli Virta, and Kari T. Koskinen. "A Co-Operative Autonomous Offshore System for Target Detection Using Multi-Sensor Technology." Remote Sensing 12, no. 24 (2020): 4106. http://dx.doi.org/10.3390/rs12244106.

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This article studies the design, modeling, and implementation challenges for a target detection algorithm using multi-sensor technology of a co-operative autonomous offshore system, formed by an unmanned surface vehicle (USV) and an autonomous underwater vehicle (AUV). First, the study develops an accurate mathematical model of the USV to be included as a simulation environment for testing the guidance, navigation, and control (GNC) algorithm. Then, a guidance system is addressed based on an underwater coverage path for the AUV, which uses a mechanical imaging sonar as the primary AUV percepti

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Wu, Jianjun, and Shaowen Liao. "Traffic Sign Detection Based on SSD Combined with Receptive Field Module and Path Aggregation Network." Computational Intelligence and Neuroscience 2022 (May 30, 2022): 1–13. http://dx.doi.org/10.1155/2022/4285436.

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The traditional traffic sign detection algorithm can not deal with the application scenarios such as intelligent transportation system or advanced assisted driving environment, and it is difficult to meet the application requirements in detection accuracy and efficiency. Focusing on the above problems, this paper proposes a traffic sign detection algorithm based on Single Shot Multibox Detector (SSD) combined with Receptive Field Module (RFM) and Path Aggregation Network (PAN). The proposed algorithm is abbreviated to SSD-RP. The SSD-RP uses the RFM to improve the receptive field and semantics

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Yanmida, Dele Zacheaus, Abubakar Surajo Imam, and Sabur Ajibola Alim. "Obstacle Detection and Anti-Collision Robot Using Ultrasonic Sensor." ELEKTRIKA- Journal of Electrical Engineering 22, no. 1 (2023): 11–14. http://dx.doi.org/10.11113/elektrika.v22n1.404.

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Obstacle detection can be considered central and paramount in designing mobile robots. This technique enables mobile robots equipped with sensors to transverse and maneuver freely in an environment preventing damage as a result of a collision with obstacles in its path. Several systems with different approaches have been developed for the anti-collision of a robot with obstacles. The approach to Sensor selection, path planning, and navigation processes determines the operation of such a system and differs from one another. This paper presents a low-cost ultrasonic distance sensor for obstacle

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Ming, Yongcheng, Rongbiao Yan, Yiwei Ma, Kaibi Zhang, and Luning Lei. "Multi-Vehicle Unmanned Following Operation Driving System Based on OpenMV." Advances in Engineering Technology Research 9, no. 1 (2024): 732. http://dx.doi.org/10.56028/aetr.9.1.732.2024.

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In response to the low level of agricultural production automation and labor shortage, to improve the efficiency of agricultural machinery utilization and the reliability of automatic navigation, this paper designs an intelligent agricultural machinery system based on OpenMV for multi-vehicle unmanned following operations. Firstly, the kinematics of the agricultural machinery vehicle is analyzed, the path recognition and location line extraction are carried out using the OpenMV vision module, and the agricultural machinery steering control system is designed using the cascade PID closed-loop c

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Saeed, Raza A., Giacomo Tomasi, Giovanni Carabin, Renato Vidoni, and Karl D. von Ellenrieder. "Conceptualization and Implementation of a Reconfigurable Unmanned Ground Vehicle for Emulated Agricultural Tasks." Machines 10, no. 9 (2022): 817. http://dx.doi.org/10.3390/machines10090817.

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Small-to-medium sized systems able to perform multiple operations are a promising option for use in agricultural robotics. With this in mind, we present the conceptualization and implementation of a versatile and modular unmanned ground vehicle prototype, which is designed on top of a commercial wheeled mobile platform, in order to test and assess new devices, and motion planning and control algorithms for different Precision Agriculture applications. Considering monitoring, harvesting and spraying as target applications, the developed system utilizes different hardware modules, which are adde

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Lee, Dongwoo, Kyungwoo Hong, Chulsoo Lim, et al. "A Design of Model Predictive Control and Nonlinear Disturbance Observer-based Backstepping Sliding Mode Control for Terrain Following." Journal of the Korea Institute of Military Science and Technology 27, no. 4 (2024): 495–506. http://dx.doi.org/10.9766/kimst.2024.27.4.495.

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In this study, we propose the terrain following algorithm using model predictive control and nonlinear disturbance observer-based backstepping sliding mode controller for an aircraft system. Terrain following is important for military missions because it helps the aircraft avoid detection by the enemy radar. The model predictive control is used to replace the generating trajectory and guidance with the flight path angle constraint. In addition, the aircraft is affected to the parameter uncertainty and unknown disturbance such as wind near the mountainous terrain. Therefore, we suggest the nonl

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Zhang, Shou Xu, Wei Sheng Yan, Wei Chen, and Zi Li Liu. "The Visual Path Following of Autonomous Catamaran in Oil Spilling." Applied Mechanics and Materials 568-570 (June 2014): 1078–81. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.1078.

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This study aims to design a kind of autonomous oil spill collection device, more exactly, which is a collecting platform based on catamaran for the spilled oil, as catamaran has great superiorities in wave resistance and water resistance. In the whole process, visual path following is necessary, which requires quite precise local navigation; the catamaran has been controlled to run along accurately with a pre-specified path by tracking the visual landmarks on the oil fence; the algorithm for detecting the path is based on an canny operator and a modified Hough transform, which could detect the

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Chu, Yijie, Ziniu Wu, Xiaohui Zhu, et al. "Riverbank Following Planner (RBFP) for USVs Based on Point Cloud Data." Applied Sciences 13, no. 20 (2023): 11319. http://dx.doi.org/10.3390/app132011319.

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Autonomous path planning along riverbanks is crucial for unmanned surface vehicles (USVs) to execute specific tasks such as levee safety detection and underwater pipe inspections, which are vital for riverbank safety and water environment protection. Given the intricate shapes of riverbanks, the dynamic nature of tidal influences, and constraints in real-time cartographic updates, there is a heightened susceptibility to inaccuracies during manual waypoint designation. These factors collectively impact the efficiency of USVs in following riverbank paths. We introduce a riverbank following plann

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Xue, Tao, Yueyao Cao, Yunmei Zhao, Jianliang Ai, and Yiqun Dong. "Hybrid A*-Based Valley Path Planning Algorithm for Aircraft." Aerospace 11, no. 7 (2024): 516. http://dx.doi.org/10.3390/aerospace11070516.

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This paper presents a valley path planning algorithm based on the Hybrid A* algorithm. This algorithm is aimed at finding the valley path for aircraft considering dynamics constraints and terrain limitations. The preliminaries involve the establishment of a 3D workspace based on digital elevation map (DEM) data and addressing methods of valley detection. Following this comprehensive groundwork, the Hybrid A*-based algorithm, employed to determine the valley path within the 3D workspace while accommodating dynamic constraints and terrain limitations, is then introduced. In the experimental test

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V.Keerthana, C.Kiruthiga, P.Kiruthika, V.Sowmiya, and R.Manikadan. "NAVIGATION OF MOBILE ROBOT- ALGORITHM FOR PATH PLANNING & COLLISION AVOIDANCE- A REVIEW." International Journal of Research -GRANTHAALAYAH 5, no. 1 (2017): 198–205. https://doi.org/10.5281/zenodo.263936.

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The field of autonomous mobile robotics has recently gained many researchers’ interests. Due to the specific needs required by various applications of mobile robot systems, especially in navigation, designing a real time obstacle avoidance and path following robot system has become the backbone of controlling robots in unknown environments. The main objective of our project is applications based mobile robot systems, especially in navigation, designing real time obstacle avoidance and path following robot system has become the backbone of controlling robots in unknown environments. The main ob

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Mahesh, N. Raut Sneha M. Hargode Umesh S. Bhomale Pooja N. Chaturkar Krushna G. Pohane Awasthi M. Gayakwad. "Camera Based, line following & RC Control Car." International Journal of Advanced Innovative Technology in Engineering 10, no. 2 (2025): 67–71. https://doi.org/10.5281/zenodo.15396216.

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This paper presents a camera-based line follower and RC control car, integrating computer vision and remote control functionalities. The system uses a camera to capture real-time video, which is processed by an on-board computing unit to detect and follow a predefined path, typically a black or white line on a contrasting surface. Image processing techniques, such as edge detection and color thresholding, are implemented to determine the car's movement. Additionally, the car can be manually controlled via a remote control (RC) interface, allowing the user to override autonomous navigation when

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Ghemes, Crina, Oana-Georgiana Dragos-Pinzaru, Mihai Tibu, Mihaela Lostun, Nicoleta Lupu, and Horia Chiriac. "Tunnel Magnetoresistance-Based Sensor for Biomedical Application: Proof-of-Concept." Coatings 13, no. 2 (2023): 227. http://dx.doi.org/10.3390/coatings13020227.

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The aim of this work was to investigate and prove the possibility of the real-time detection of magnetic nanoparticles (MNPs) distributed in solid material by using a tunnel magnetoresistance-based (TMR) sensor. Following the detection tests of FeCrNbB magnetic nanoparticles distributed in transparent epoxy resin (EPON 812) and measuring the sensor output voltage changes at different particle concentrations, the detection ability of the sensor was demonstrated. For the proposed TMR sensor, we measured a maximum magnetoresistance ratio of about 53% and a sensitivity of 1.24%/Oe. This type of se

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da Silva, Yago M. R., Fabio A. A. Andrade, Lucas Sousa, et al. "Computer Vision Based Path Following for Autonomous Unammed Aerial Systems in Unburied Pipeline Onshore Inspection." Drones 6, no. 12 (2022): 410. http://dx.doi.org/10.3390/drones6120410.

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Unmanned Aerial Systems (UAS) are becoming more attractive in diverse applications due to their efficiency in performing tasks with a reduced time execution, covering a larger area, and lowering human risks at harmful tasks. In the context of Oil & Gas (O&G), the scenario is even more attractive for the application of UAS for inspection activities due to the large extension of these facilities and the operational risks involved in the processes. Many authors proposed solutions to detect gas leaks regarding the onshore unburied pipeline structures. However, only a few addressed the navi

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Keerthana, V., C. Kiruthiga, P. Kiruthika, V. Sowmiya, and R. Manikadan. "NAVIGATION OF MOBILE ROBOT- ALGORITHM FOR PATH PLANNING & COLLISION AVOIDANCE- A REVIEW." International Journal of Research -GRANTHAALAYAH 5, no. 1 (2017): 198–205. http://dx.doi.org/10.29121/granthaalayah.v5.i1.2017.1735.

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The ﬁeld of autonomous mobile robotics has recently gained many researchers’ interests. Due to the speciﬁc needs required by various applications of mobile robot systems, especially in navigation, designing a real time obstacle avoidance and path following robot system has become the backbone of controlling robots in unknown environments. The main objective of our project is applications based mobile robot systems, especially in navigation, designing real time obstacle avoidance and path following robot system has become the backbone of controlling robots in unknown environments. The main obje

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Rana Qamar Hayat, Fida Hussain, and Umer Masood. "Artificial Intelligence (AI)-Powered Line Follower Robot with Hurdle Detection and Voice Control." International Journal of Latest Technology in Engineering Management & Applied Science 13, no. 11 (2024): 79–83. https://doi.org/10.51583/ijltemas.2024.131109.

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Abstract: In this paper, we propose a voice controlled line following robot with the ability to trace the set path and avoid hurdles while moving autonomously. Line-following robots have been around for decades, but this setup uses AI algorithms and fresnel lenses to improve accuracy More Traditional line-following robots often face drawbacks in dealing with intricate environments, but those are addressed here via user control over voice recognition, as-well-as obstacle detection through ultrasonic sensors. The robot is controlled over an Arduino UNO microcontroller and the (advance) features

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Baquero Velasquez, Andres Eduardo, Vitor Akihiro Hisano Higuti, Mateus Valverde Gasparino, Arun Sivakumar, Marcelo Becker, and Girish Chowdhary. "Multi-Sensor Fusion based Robust Row Following for Compact Agricultural Robots." Field Robotics 2, no. 1 (2022): 1291–319. http://dx.doi.org/10.55417/fr.2022043.

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This paper presents a state-of-the-art light detection and ranging (LiDAR) based autonomous navigation system for under-canopy agricultural robots. Under-canopy agricultural navigation has been a challenging problem because global navigation satellite system (GNSS) and other positioning sensors are prone to loss of accuracy due to attenuation and multi-path errors caused by crop leaves and stems. Reactive navigation by detecting crop rows using LiDAR measurements has proved to be an efficient alternative to GNSS. Nevertheless, it presents challenges, due to occlusion from leaves under the cano

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Daoudi, Rimeh, Aymen Mouelhi, Moez Bouchouicha, Eric Moreau, and Mounir Sayadi. "Fully Automatic Approach for Smoke Tracking Based on Deep Image Quality Enhancement and Adaptive Level Set Model." Electronics 12, no. 18 (2023): 3888. http://dx.doi.org/10.3390/electronics12183888.

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In recent decades, the need for advanced systems with good precision, low cost, and high-time response for wildfires and smoke detection and monitoring has become an absolute necessity. In this paper, we propose a novel, fast, and autonomous approach for denoising and tracking smoke in video sequences captured from a camera in motion. The proposed method is based mainly on two stages: the first one is a reconstruction and denoising path with a novel lightweight convolutional autoencoder architecture. The second stage is a specific scheme designated for smoke tracking, and it consists of the fo

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Liang, Ke, and Qin Sun. "Koiter’s Reduction Finite Element Method for Nonlinear Stability Analysis of Thin-Walled Shells." International Journal of Computational Methods 17, no. 01 (2019): 1843004. http://dx.doi.org/10.1142/s0219876218430041.

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Thin-walled structures are widely used in aeronautical and aerospace engineering. Conical and cylindrical shells structures, under axial compression, are prone to failure by buckling and typically show a snap-back phenomenon in the end-shortening curve. Path-following technologies based on Newton-type methods have difficulties to trace reliably the snap-back response due to the extremely sharp turning angle near the limit point. In this paper, a Koiter’s reduction finite element method, termed the Koiter–Newton (KN) method, is presented to trace reliably the post-buckling path of cylinders and

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Klinkovskij, Aleksandr, Mikhail Shepelev, Yuri Isaakyan, Denis Aniskin, and Ilya Ulasov. "Advances of Genome Editing with CRISPR/Cas9 in Neurodegeneration: The Right Path towards Therapy." Biomedicines 11, no. 12 (2023): 3333. http://dx.doi.org/10.3390/biomedicines11123333.

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The rate of neurodegenerative disorders (NDDs) is rising rapidly as the world’s population ages. Conditions such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and dementia are becoming more prevalent and are now the fourth leading cause of death, following heart disease, cancer, and stroke. Although modern diagnostic techniques for detecting NDDs are varied, scientists are continuously seeking new and improved methods to enable early and precise detection. In addition to that, the present treatment options are limited to symptomatic therapy, which is effective in reducing the progress

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Li, Xin, Jingwen Yang, Xin Wang, Leiyang Fu, and Shaowen Li. "Adaptive Step RRT*-Based Method for Path Planning of Tea-Picking Robotic Arm." Sensors 24, no. 23 (2024): 7759. https://doi.org/10.3390/s24237759.

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The Adaptive Step RRT* (AS-RRT*) path planning algorithm for tea-picking robotic arms was proposed as a solution to the autonomy, safety, and efficiency problems inherent to tea-picking robots in tea plantations. The algorithm employs an accumulator-based sampling point selection strategy to enhance the efficiency of path planning and the quality of the resulting path. It combines fast connectivity and pruning optimization methods to identify collision-free paths in a shorter time and to reduce the computational burden. It also incorporates a dynamic step length adjustment mechanism following

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Zhang, Tuqian. "Fault Recovery Path Analysis of a Software Dynamic Image Based on a Fuzzy Control Algorithm." Symmetry 12, no. 6 (2020): 897. http://dx.doi.org/10.3390/sym12060897.

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In order to improve the ability of software dynamic image fault detection, a software dynamic image fault recovery path detection algorithm based on a fuzzy control algorithm is proposed. A software dynamic image fault signal model of a software dynamic image fault was constructed by adopting an embedded feature extraction and a fuzzy control algorithm, and the dynamic image fault signal of the embedded software under the multi-load was subjected to frequency spectrum decomposition and blind source separation. The method comprises the following steps: (1) carrying out noise reduction processin

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Liu, Jian Lan, and Li Zhu. "Research and Implementation of Virtual Campus Roaming System Interaction Function Based on OSG." Applied Mechanics and Materials 687-691 (November 2014): 2219–23. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2219.

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The development of computer simulation technology makes virtual reality technology gradually applied to various fields. The implementation of virtual campus roaming system is an important embodiment. This paper combines with 3 d graphics rendering engine Open Scene Graph to study virtual campus interactive roaming system with a variety of functions. First of all, this paper introduces basic technologies interactive functions needed such as matrix transformation, quaternion in OSG, expounds OSG scene roaming theory, key research and implements human-computer interaction function of collision de

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Dai, Yanyan, and Suk-Gyu Lee. "Perception, Planning and Control for Self-Driving System Based on On-board Sensors." Advances in Mechanical Engineering 12, no. 9 (2020): 168781402095649. http://dx.doi.org/10.1177/1687814020956494.

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The autonomous vehicle can recognize and understand environment, self-control, and achieve the driving level of the human driver. To create this kind of system, the following work was carried out: (a) a real time lane detection system is proposed, based on vision system functions, using webcam camera; (b) In order to detect curve lanes, deep learning is applied for lane detection, based on fully Convolutional Neural Network (CNN); (c) The cubic spline interpolation method is used for path generation, based on Global Positioning System (GPS) data, where distance between two adjacent path genera

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Yu, Lingli, and Kaijun Zhou. "A Dynamic Local Path Planning Method for Outdoor Robot Based on Characteristics Extraction of Laser Rangefinder and Extended Support Vector Machine." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 02 (2016): 1659004. http://dx.doi.org/10.1142/s0218001416590047.

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For dynamic path planning problem under unstructured environment, firstly, successive edge following and least squares method (SEF-LSM) is adopted to extract environment characteristics of laser rangefinder data, and SEF-LSM with logical reasoning (SEF-LSM-LR) is proposed for dynamic obstacles characteristics detection. Furthermore, the perpendicularity (PERP) algorithm is utilized to identify dynamic vehicle, according to the perpendicularity attribute of vehicle. Secondly, all the laser rangefinder scanning points are marked as negative ([Formula: see text]) or positive ([Formula: see text]1

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Sgobba, Fabrizio, Andrea Andrisani, and Luigi Santamaria Amato. "Photon Phase Delay Sensing with Sub-Attosecond Uncertainty." Sensors 24, no. 7 (2024): 2202. http://dx.doi.org/10.3390/s24072202.

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The application of statistical estimation theory to Hong–Ou–Mandel interferometry led to enticing results in terms of the detection limit for photon reciprocal delay and polarisation measurement. In the following paper, a fully fibre-coupled setup operating in the telecom wavelength region proves to achieve, for the first time, in common-path Hong–Ou–Mandel-based interferometry, a detection limit for photon phase delay at the zeptosecond scale. The experimental results are then framed in a theoretical model by calculating the Cramer–Rao bound (CRB) and, after comparison with the obtained exper

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Tashtoush, Yahya, Israa Haj-Mahmoud, Omar Darwish, et al. "Enhancing Robots Navigation in Internet of Things Indoor Systems." Computers 10, no. 11 (2021): 153. http://dx.doi.org/10.3390/computers10110153.

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In this study, an effective local minima detection and definition algorithm is introduced for a mobile robot navigating through unknown static environments. Furthermore, five approaches are presented and compared with the popular approach wall-following to pull the robot out of the local minima enclosure namely; Random Virtual Target, Reflected Virtual Target, Global Path Backtracking, Half Path Backtracking, and Local Path Backtracking. The proposed approaches mainly depend on changing the target location temporarily to avoid the original target’s attraction force effect on the robot. Moreove

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Kim, Seungmin, Hyunseo Jang, Jiseung Ha, Daekug Lee, Yeongho Ha, and Youngeun Song. "Time-Interval-Based Collision Detection for 4WIS Mobile Robots in Human-Shared Indoor Environments." Sensors 25, no. 3 (2025): 890. https://doi.org/10.3390/s25030890.

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The recent growth in e-commerce has significantly increased the demand for indoor delivery solutions, highlighting challenges in last-mile delivery. This study presents a time-interval-based collision detection method for Four-Wheel Independent Steering (4WIS) mobile robots operating in human-shared indoor environments, where traditional path following algorithms often create unpredictable movements. By integrating kinematic-based robot trajectory calculation with LiDAR-based human detection and Kalman filter-based prediction, our system enables more natural robot–human interactions. Experimen

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Yekkehkhany, B., P. Shokri, and A. Zadeh. "A COMPUTER VISION APPROACH FOR DETECTION OF ASTEROIDS/COMETS IN SPACE SATELLITE IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 1185–90. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1185-2020.

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Abstract. There are many satellites orbiting around the earth capturing huge amounts of images from astronomical objects and sending them to ground stations to be stored and analyzed. This results in an increasing demand for processing and analyzing images with autonomous algorithms. NEOSSat is one of the Canadian satellites that investigates the outer space to discover new comets/asteroids in our solar system. In this paper, we proposed a method based on computer vision techniques to detect the moving objects in NEOSSat images autonomously and also estimate their path. Our method is able to d

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Weaver-Rosen, Meagan Susanne, and Philip Serwer. "Alzheimer’s Disease: A Molecular Model and Implied Path to Improved Therapy." International Journal of Molecular Sciences 25, no. 6 (2024): 3479. http://dx.doi.org/10.3390/ijms25063479.

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Amyloid-associated neurodegenerative diseases, including Alzheimer’s disease (AD), are characterized by the in-brain accumulation of β-sheet structured protein aggregates called amyloids. However, neither a disease model nor therapy is established. We review past data and present new, preliminary data and opinions to help solve this problem. The following is the data-derived model/hypothesis. (1) Amyloid-forming proteins have innate immunity functions implemented by conversion to another sheet conformation, α-sheet. (2) In health, α-sheet structured, amyloid-forming proteins inactivate microbe

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Zhou, Yifeng, and Fang Yu. "Reputation Detection for Information Diffusion in Social Network Systems." Complexity 2022 (July 7, 2022): 1–18. http://dx.doi.org/10.1155/2022/5317738.

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Reputation detection in traditional distributed systems (e.g., electronic commerce systems and peer-to-peer systems) relies heavily on the factor of interaction reputation, which can be derived from direct interactions between agents through bidirectional relationships. However, in the current information diffusion in social network systems (SNS) (e.g., Twitter), the characteristic of the unidirectional relationship between agents and the decay property of diffusion will result in lacking direct interactions; therefore, interaction reputations will be difficult to be obtained by agents in a di

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Faihan, Basma Abdulsahib, Ziad Al-Dahan, and Hussein Alzubeidy. "Non-Dispersive Near Infrared Gas Flow Cell Design for Oxygenator-Exhaust Capnometry." Al-Nahrain Journal for Engineering Sciences 25, no. 2 (2022): 76–80. http://dx.doi.org/10.29194/njes.25020076.

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Non-dispersive near-infrared technique is widely used nowadays for the detection of gases, especially in harsh environments. In this study, an optical gas cell was designed for oxygenator exhaust capnometry. A computer-based simulation was used for the analysis of air flows for model selection. ANSYS Discovery 2020 R2 was used for model simulation. The gas flow cells were tested using a custom-made gas rig to measure the fraction absorbance of carbon dioxide gas at the detector. Two gases were used, nitrogen gas as a reference gas (0%) and 9% carbon dioxide. Three gas cells with the following

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TANUJAYA, MIGUEL, RAFAEL PATRICK, HANS SEBASTIAN, and FAISAL WAHAB. "Penerapan Contour Detection dengan Pengontrol PID pada Robot Line Follower." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 12, no. 4 (2024): 923. https://doi.org/10.26760/elkomika.v12i4.923.

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ABSTRAKSebuah robot line follower harus mampu mendeteksi garis dan bergerak mengikuti garis tersebut. Warna garis dan lantai yang tidak begitu kontras satu sama lain cukup sulit untuk dibedakan. Salah satu sensor yang dapat digunakan pada kasus tersebut adalah kamera. Dengan memanfaatkan pengolahan citra, robot dapat mengenali garis yang perlu diikuti. Untuk menghasilkan sistem line following yang konsisten dan rendah error, digunakan pengontrol PID yang bertujuan untuk menjaga posisi robot agar tetap pada lintasan yang diinginkan. Robot yang digunakan dalam penelitian ini adalah robot dengan

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Jacinto, Marcelo, Rita Cunha, and António Pascoal. "Chemical Spill Encircling Using a Quadrotor and Autonomous Surface Vehicles: A Distributed Cooperative Approach." Sensors 22, no. 6 (2022): 2178. http://dx.doi.org/10.3390/s22062178.

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This article addresses the problem of formation control of a quadrotor and one (or more) marine vehicles operating at the surface of the water with the end goal of encircling the boundary of a chemical spill, enabling such vehicles to carry and release chemical dispersants used during ocean cleanup missions to break up oil molecules. Firstly, the mathematical models of the Medusa class of marine robots and quadrotor aircrafts are introduced, followed by the design of single vehicle motion controllers that allow these vehicles to follow a parameterised path individually using Lyapunov-based tec

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Olague, Gustavo, Jose Armando Menendez-Clavijo, Matthieu Olague, et al. "Automated Design of Salient Object Detection Algorithms with Brain Programming." Applied Sciences 12, no. 20 (2022): 10686. http://dx.doi.org/10.3390/app122010686.

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Despite recent improvements in computer vision, artificial visual systems’ design is still daunting since an explanation of visual computing algorithms remains elusive. Salient object detection is one problem that is still open due to the difficulty of understanding the brain’s inner workings. Progress in this research area follows the traditional path of hand-made designs using neuroscience knowledge or, more recently, deep learning, a particular branch of machine learning. Recently, a different approach based on genetic programming appeared to enhance handcrafted techniques following two dif

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Jagatheesaperumal, Senthil Kumar, Varun Prakash Rajamohan, Abdul Khader Jilani Saudagar, Abdullah AlTameem, Muhammad Sajjad, and Khan Muhammad. "MoMo: Mouse-Based Motion Planning for Optimized Grasping to Declutter Objects Using a Mobile Robotic Manipulator." Mathematics 11, no. 20 (2023): 4371. http://dx.doi.org/10.3390/math11204371.

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The aim of this study is to develop a cost-effective and efficient mobile robotic manipulator designed for decluttering objects in both domestic and industrial settings. To accomplish this objective, we implemented a deep learning approach utilizing YOLO for accurate object detection. In addition, we incorporated inverse kinematics to facilitate the precise positioning, placing, and movement of the robotic arms toward the desired object location. To enhance the robot’s navigational capabilities within the environment, we devised an innovative algorithm named “MoMo”, which effectively utilizes

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Taha, Mohammed Yaseen, and Qahhar Muhammad Qadir. "Cost Effective and Easily Configurable Indoor Navigation System." UKH Journal of Science and Engineering 5, no. 1 (2021): 60–72. http://dx.doi.org/10.25079/ukhjse.v5n1y2021.pp60-72.

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With the advent of Industry 4.0, the trend of its implementation in current factories has increased tremendously. Using autonomous mobile robots that are capable of navigating and handling material in a warehouse is one of the important pillars to convert the current warehouse inventory control to more automated and smart processes to be aligned with Industry 4.0 needs. Navigating a robot’s indoor positioning in addition to finding materials are examples of location-based services (LBS), and are some major aspects of Industry 4.0 implementation in warehouses that should be considered. Global p

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Kurita, Hiroki, Masaki Oku, Takeshi Nakamura, Takeshi Yoshida, and Takanori Fukao. "Localization Method Using Camera and LiDAR and its Application to Autonomous Mowing in Orchards." Journal of Robotics and Mechatronics 34, no. 4 (2022): 877–86. http://dx.doi.org/10.20965/jrm.2022.p0877.

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This paper presents a localization method using deep learning and light detection and ranging (LiDAR) for unmanned ground vehicle (UGV) in field environment. We develop a sensor fusion algorithm that UGV recognizes natural objects from RGB camera using deep learning and measures the distance to the recognized objects with LiDAR. UGV calculates its position relative to the objects, creates a reference path, and then executes path following control. The method is applied to autonomous mowing operation in orchard. A mower is tracked by UGV. UGV needs to run along a tree row keeping an appropriate

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Miccinesi, Lapo, Luca Bigazzi, Tommaso Consumi, et al. "Geo-Referenced Mapping through an Anti-Collision Radar Aboard an Unmanned Aerial System." Drones 6, no. 3 (2022): 72. http://dx.doi.org/10.3390/drones6030072.

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Unmanned aerial systems (UASs) have enormous potential in many fields of application, especially when used in combination with autonomous guidance. An open challenge for safe autonomous flight is to rely on a mapping system for local positioning and obstacle avoidance. In this article, the authors propose a radar-based mapping system both for obstacle detection and for path planning. The radar equipment used is a single-chip device originally developed for automotive applications that has good resolution in azimuth, but poor resolution in elevation. This limitation can be critical for UAS appl

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Mahmood, Ruaa Kahtan, and Samira Adnan Mehdi. "A simulation process of tunable open path diode laser spectrometer to detect a carbon monoxide gas in NIR region." IOP Conference Series: Earth and Environmental Science 961, no. 1 (2022): 012081. http://dx.doi.org/10.1088/1755-1315/961/1/012081.

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Abstract By modifying the wavelength of the open path tunable diode laser spectrometer (TDLS) in the near infrared region, theoretical research was implemented to improve the detection limit of carbon monoxide gas. To adjust the correct wavelength in the NIR area, MatLab code was created. Following that, frequency domain measurements were performed in order to extract the second harmonic as an indicator of gas presence. According to the results, the correct wave length in the NIR area is (1584.877 nm), and the lowest limit of CO gas concentration is (0.012 ppb).

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