[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126101-en":3,"doc-seo-126101-105":31,"detail-sidebar-cat-0-en-105":91},{"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":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},126101,5909887256941,"Levi","https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc",8,"Research & Report","Machine Learning Techniques Applied on Self Driving Cars","Master thesis evaluation covering identification data and detailed scoring against individual criteria. The assigned project is judged demanding due to careful tool selection, effective application, and integration into a complete system. The thesis is assessed as fulfilling primary goals and five objectives, with a thorough review of autonomous driving and extensive, well-documented machine learning research. The NVIDIA simulation model is tested and a modified architecture is proposed, with relevant metrics; further experimental depth and statistical analysis are recommended.","I. IDENTIFICATION DATA  \nThesis title: Machine Learning Techniques Applied on Self Driving Cars  \nAuthor’s name: Bc. Allam Omar Alif Abdelhakim  \nType of thesis : master  \nFaculty/Institute: Faculty of Mechanical Engineering (FME)  \nDepartment: Department of Instrumentation and Control Engineering  \nThesis reviewer: Ing. Kengo Nagashima  \nReviewer’s department: Porsche Engineering Services  \nII. EVALUATION OF INDIVIDUAL CRITERIA  \n\n| Assignment challenging\u003Cbr>How demanding was the assigned project? |\n| --- |\n| The assigned project was challenging, requiring meticulous selection of tools, their effective application, and seamless integration into a comprehensive system. |\n\n\n| Fulfilment of assignment fulfilled\u003Cbr>How well does the thesis fulfil the assigned task? Have the primary goals been achieved? Which assigned tasks have been incompletely covered, and which parts of the thesis are overextended? Justify your answer. |\n| --- |\n| The thesis fulfils the assigned tasks and achieves the primary goals set out. Each of the five objectives is comprehensively addressed.\u003Cbr>The review on autonomous driving approaches is thorough, and the research on machine learning techniques for selfdriving cars is extensive and well-documented.\u003Cbr>The architecture model from NVIDIA is tested, with results presented. The new model architecture designed by the student demonstrates practical application. Building upon the existing NVIDIA model architecture, the student has incorporated thoughtful modifications that enhance specific aspects of the model. Although these changes are not extensive, they reflect a good understanding of the principles involved. For example, the modifications in the newly proposed models, such as the inclusion of additional dropout layers, l2 regularization, and pooling, show an understanding of improving model robustness. However, further development could have been more beneficial to significantly distinguish the newly designed model from the original NVIDIA architecture.\u003Cbr>The evaluation metrics are well-prepared and relevant. However, there are areas where the coverage could be more enriched. The integration of theoretical concepts into practical applications sometimes |\n\n\n| Methodology correct\u003Cbr>Comment on the correctness of the approach and/or the solution methods. |\n| --- |\n| The methodology applied in the thesis is sound and appropriate for the research objectives. However, while the methods are correctly applied, additional detail in the explanation of certain steps in the experimental part could provide further clarity and enhance the overall robustness of the methodology. |\n\n\n| Technical level C-good.\u003Cbr>Is the thesis technically sound? How well did the student employ expertise in the field of his/her field of study? Does the student explain clearly what he/she has done? |\n| --- |\n| The student has shown a good understanding of key concepts and techniques within their field. The thesis demonstrates a good level of technical soundness, with the student effectively applying expertise from their field of study. However, there are some areas where the experimental depth could be improved. |\n\n\n| Formal and language level, scope of thesis B-very good.\u003Cbr>Are formalisms and notations used properly? Is the thesis organized in a logical way? Is the thesis sufficiently extensive? Is the thesis well-presented? Is the language clear and understandable? Is the English satisfactory? |\n| --- |\n| The thesis adheres to proper formalisms and notations, demonstrating a solid grasp of the technical language and concepts pertinent to machine learning and autonomous driving. The structure is logical, with a clear progression through topics, and each section builds upon the previous one, contributing to a comprehensive understanding. |\n\n\n| Selection of sources, citation correctness B-very good.\u003Cbr>Does the thesis make adequate reference to earlier work on the topic? Was the selection ofsources adequate? Is the student’s original work","cbCaibV0dqe0SS9u","https://ap.wps.com/l/cbCaibV0dqe0SS9u","pdf",229110,3,1,2,"English","en",105,"# Identification Data\n# Evaluation of Individual Criteria\n## Assignment Challenging\n## Fulfilment of Assignment\n## Methodology Correct\n## Technical Level\n## Formal and Language Level\n## Selection of Sources and Citation Correctness\n## Additional Commentary and Evaluation\n# Overall Evaluation, Questions, and Suggested Grade","[{\"question\":\"Does the thesis achieve its primary goals and assigned objectives?\",\"answer\":\"Yes. The thesis fulfils the assigned tasks and achieves the primary goals set out, with five objectives comprehensively addressed.\"},{\"question\":\"What were the main technical contributions evaluated in the thesis?\",\"answer\":\"The evaluation highlights testing of the NVIDIA simulation model and development of a new model architecture with modifications such as additional dropout layers, l2 regularization, and pooling.\"},{\"question\":\"What improvements are suggested by the reviewer?\",\"answer\":\"The reviewer recommends deeper experimental validation, more comprehensive statistical analysis, and clearer additional detail in certain experimental steps to strengthen methodology robustness and differentiation from the original NVIDIA architecture.\"}]","Machine Learning Techniques Applied on Self Driving Cars | PDF",1785903104,5,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":29},"machine-learning-techniques-applied-on-self-driving-cars","",{"@graph":37,"@context":85},[38,53,68],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,48,50],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":22},"https://docshare.wps.com/document/","Document",{"item":49,"name":12,"@type":44,"position":20},"https://docshare.wps.com/document/research-report/",{"item":51,"name":13,"@type":44,"position":52},"https://docshare.wps.com/document/machine-learning-techniques-applied-on-self-driving-cars/126101/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":24,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":42,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-08-24","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Does the thesis achieve its primary goals and assigned objectives?","Question",{"text":75,"@type":76},"Yes. 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