[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124153-en":3,"doc-seo-124153-105":30,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},124153,13056703019404,"Miles","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","Applying Computer Vision, and Machine Learning Techniques for Modelling and Simulation of Autonomous Car - Master’s thesis","This master’s thesis investigates autonomous driving through machine learning methods, emphasizing Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN). A neural network is trained to enable autonomous navigation in Udacity’s Car Simulator, supported by careful data collection, preprocessing, and image optimization that directly shape model performance. Rigorous optimization produces a notable validation loss, demonstrating strong robustness, after which the trained model is integrated into a simulation. Real-time bidirectional communication supports vehicular control, highlighting machine learning’s impact on autonomous vehicle development.","Master’s Project  \nCzech Technical University in Prague  \nF2  \nFaculty of Mechanical Engineering Department of Automation Instrumentation Engineering  \nApplying Computer Vision, and Machine Learning Techniques for modelling and simulation of autonomous Car  \nOmar Alif Abelhakim Allam  \nSupervisor: Oswald Cyril Ing., P.hD.  \nAugust 2023  \nMASTER‘S THESIS ASSIGNMENT  \nI. Personal and study details  \nStudent's name: Allam Omar Alif Abdelhakim Personal ID number: 467842  \nFaculty / Institute: Faculty of Mechanical Engineering  \nDepartment / Institute: Department of Instrumentation and Control Engineering Study program: Automation and Instrumentation Engineering  \nSpecialisation: Automation and Industrial Informatics  \nII. Master’s thesis details  \n| Master’s thesis title in English:\u003Cbr>Applying Computer Vision, and Machine Learning Techniques for Modelling and Simulation of Autonomous Car\u003Cbr>Master’s thesis title in Czech:\u003Cbr>Aplikace metodstrojovéhovidění a strojového učení pro vývoj modelu a simulaci autonomně řízeného vozidla\u003Cbr>Guidelines:\u003Cbr>Assignment/Task:\u003Cbr>1. Research on related machine learning and computer vision techniques for autonomous cars.\u003Cbr>2. Research of feasible applications of car driving simulation.\u003Cbr>3. Design and Implementation for a model of the self-driving car.\u003Cbr>4. Integration and deployment of the trained model within the simulation.\u003Cbr>5. Testing of the model in simulation.\u003Cbr>Bibliography / sources:\u003Cbr>[https://www.researchgate.net/publication/275897320_DeepDriving_Learning_Affordance_for_Direct_Perception_in_Autonomous_D](https://www.researchgate.net/publication/275897320_DeepDriving_Learning_Affordance_for_Direct_Perception_in_Autonomous_D)riving [https://www.researchgate.net/publication/326223123_LaneNet_Real-Time_Lane_Detection_Networks_for_Autonomous_Driving](https://www.researchgate.net/publication/326223123_LaneNet_Real-Time_Lane_Detection_Networks_for_Autonomous_Driving)\u003Cbr>[https://developer.nvidia.com/blog/deep-learning-self-driving-cars/](https://developer.nvidia.com/blog/deep-learning-self-driving-cars/)\u003Cbr>Name and workplace of master’s thesis supervisor:\u003Cbr>Ing. Cyril Oswald, Ph.D. U12110.3\u003Cbr>Name and workplace of second master’s thesis supervisor or consultant:\u003Cbr>Date of master’s thesis assignment: 28.04.2023 Deadline for master's thesis submission: 15.08.2023\u003Cbr>Assignment valid until:  \u003Cbr> |  |  |\n| --- | --- | --- |\n| Ing. Cyril Oswald, Ph. D. Supervisor’s signature | prof. Ing. Tomáš Vyhlídal, Ph. D. Head of department’s signature | doc. Ing. Miroslav Španiel, CSc.\u003Cbr>Dean’s signature |\n\nIII. Assignment receipt  \n\n| The student acknowledges that the master’s thesis is an individual work. The student must produce his thesis without the assistance of others,\u003Cbr>with the exception of provided consultations. Within the master’s thesis, the author must state the names of consultants and include a list of references. |  |\n| --- | --- |\n| .\u003Cbr> |  |\n| Date of assignment receipt Student’s signature |  |\n\nAcknowledgements  \nI would like to express my gratitude towards my supervisor Ing. Cyril, Oswald, Ph.D. for his expert guidance throughout the thesis. I would also like to thank my family for their unwavering support  \nDeclaration  \nI hereby confirm that I have independently composed this thesis on the subject of Autonomous Driving and Machine Learning techniques for modeling and simulation of autonomous car. All references and sources utilized have been cited. I possess no compelling objection against the utilization of this thesis in accordance with Section 60 of Act No 121/2000 Sb., as amended  \nDate & Signature  \nAbstract  \nIn this thesis, we explore the evolving domain of autonomous driving, delving into Machine learning methodologies. We primarily focus on the foundational principles of Deep Neural Networks (DNN) and the specialized architecture of Convolutional Neural Networks (CNN) . Our aim was to train a neural network for autonomous navigation within Udacity’s Car Simulato","cbCaivPNx8KKmBvE","https://ap.wps.com/l/cbCaivPNx8KKmBvE","pdf",3542594,1,52,"English","en",105,"# Introduction\n## Background and Related Work\n# Feasible applications of self-driving Cars\n## CARLA\n## Airsim\n## CarSim\n## Udacity\n# Approaches to Autonomous Driving\n## Non-AI Approach","[{\"question\":\"What machine learning approaches are used for autonomous navigation in this thesis?\",\"answer\":\"The thesis focuses on Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN) to enable autonomous navigation in a simulator environment.\"},{\"question\":\"How is the trained model prepared before integration into simulation?\",\"answer\":\"It involves data collection, preprocessing, and image optimization, followed by model training and optimization to achieve a low validation loss.\"},{\"question\":\"Where is the model trained and tested?\",\"answer\":\"The model is trained for autonomous navigation within Udacity’s Car Simulator, then integrated into a simulation where it is evaluated with real-time bidirectional communication for vehicle control.\"}]","Applying Computer Vision, and Machine Learning Techniques for Modelling and Simulation of Autonomous Car - Master’s thesis | PDF",1785820768,131,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":28},"applying-computer-vision-and-machine-learning-techniques-for-modelling-and-simulation-of-autonomous-car-masters-thesis","",{"@graph":36,"@context":86},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/applying-computer-vision-and-machine-learning-techniques-for-modelling-and-simulation-of-autonomous-car-masters-thesis/124153/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05","2026-08-04",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What machine learning approaches are used for autonomous navigation in this thesis?","Question",{"text":76,"@type":77},"The thesis focuses on Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN) to enable autonomous navigation in a simulator environment.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"How is the trained model prepared before integration into simulation?",{"text":81,"@type":77},"It involves data collection, preprocessing, and image optimization, followed by model training and optimization to achieve a low validation loss.",{"name":83,"@type":74,"acceptedAnswer":84},"Where is the model trained and tested?",{"text":85,"@type":77},"The model is trained for autonomous navigation within Udacity’s Car Simulator, then integrated into a simulation where it is evaluated with real-time bidirectional communication for vehicle control.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,129,132,136],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":46,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":46,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":46,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":46,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":46,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":46,"category_name":138,"show_sort_weight":107,"slug":139},19,"General","general"]