Path reader and intelligent lane navigator by autonomous vehicle
Internet of Things (IoT) is a physical network of physical devices, such as widgets, structures, and other objects, which can store program, sensors, actuators, and screen configurations to allow the objects to assemble, control, display, and exchange data. The aim of this research was to develop an...
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Published in | Paladyn (Warsaw) Vol. 14; no. 1; pp. pp. 213 - 218 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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De Gruyter
15.08.2023
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Abstract | Internet of Things (IoT) is a physical network of physical devices, such as widgets, structures, and other objects, which can store program, sensors, actuators, and screen configurations to allow the objects to assemble, control, display, and exchange data. The aim of this research was to develop an autonomous system with automated navigation. Using this approach, we are able to make use of deep neural networks for automatic navigation as well as the identification of pot holes and road conditions. Additionally, it displays potholes in traffic and the correct lane on the screen. The system stresses how important it is to select the path from one node to the next. |
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AbstractList | Internet of Things (IoT) is a physical network of physical devices, such as widgets, structures, and other objects, which can store program, sensors, actuators, and screen configurations to allow the objects to assemble, control, display, and exchange data. The aim of this research was to develop an autonomous system with automated navigation. Using this approach, we are able to make use of deep neural networks for automatic navigation as well as the identification of pot holes and road conditions. Additionally, it displays potholes in traffic and the correct lane on the screen. The system stresses how important it is to select the path from one node to the next. Abstract Internet of Things (IoT) is a physical network of physical devices, such as widgets, structures, and other objects, which can store program, sensors, actuators, and screen configurations to allow the objects to assemble, control, display, and exchange data. The aim of this research was to develop an autonomous system with automated navigation. Using this approach, we are able to make use of deep neural networks for automatic navigation as well as the identification of pot holes and road conditions. Additionally, it displays potholes in traffic and the correct lane on the screen. The system stresses how important it is to select the path from one node to the next. |
Author | Verma, Ankit Mahdi, Hussain Falih Choudhury, Tanupriya Singh, Thipendra Pal Shukla, Amar |
Author_xml | – sequence: 1 givenname: Amar surname: Shukla fullname: Shukla, Amar email: ashukla@ddn.upes.ac.in organization: School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, 248007, Uttarakhand, India – sequence: 2 givenname: Ankit surname: Verma fullname: Verma, Ankit email: avankitverma.2011@gmail.com organization: Wartin Labs Technologies LLP, H-187 WorkWings, Noida, Uttar Pradesh 201301, India – sequence: 3 givenname: Hussain Falih surname: Mahdi fullname: Mahdi, Hussain Falih email: hussain.mahdi@ieee.org organization: Computer and Software, College of Engineering, University of Diyala, Baqubah, Iraq – sequence: 4 givenname: Tanupriya surname: Choudhury fullname: Choudhury, Tanupriya email: tanupriya1986@gmail.com organization: CSE Department, Symbiosis Institute of Technology, Symbiosis International University, Pune, Maharashtra, 412115, India – sequence: 5 givenname: Thipendra Pal surname: Singh fullname: Singh, Thipendra Pal email: thipendra@gmail.com organization: School of Computer Science Engineering and Technology, Bennett University, Greater Noida, Uttar Pradesh 201310, India |
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SubjectTerms | congestion condition convolution neural network pavement condition pothole condition traffic light condition |
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Title | Path reader and intelligent lane navigator by autonomous vehicle |
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