Pub Date : 2021-02-10DOI: 10.1007/978-3-030-77939-9_4
B. Németh, P. Gáspár
{"title":"Guaranteed Performances for Learning-Based Control Systems Using Robust Control Theory","authors":"B. Németh, P. Gáspár","doi":"10.1007/978-3-030-77939-9_4","DOIUrl":"https://doi.org/10.1007/978-3-030-77939-9_4","url":null,"abstract":"","PeriodicalId":209965,"journal":{"name":"Deep Learning for Unmanned Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116388756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-07DOI: 10.1007/978-3-030-77939-9_2
Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin
{"title":"Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment","authors":"Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin","doi":"10.1007/978-3-030-77939-9_2","DOIUrl":"https://doi.org/10.1007/978-3-030-77939-9_2","url":null,"abstract":"","PeriodicalId":209965,"journal":{"name":"Deep Learning for Unmanned Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122531869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-16DOI: 10.36227/techrxiv.11607348.v1
Than D. Le
In this chapter, we address the competent Autonomous Vehicles should have the ability to analyze the structure and unstructured environments and then to localize itself relative to surrounding things, where GPS, RFID or other similar means cannot give enough information about the location. Reliable SLAM is the most basic prerequisite for any further artificial intelligent tasks of an autonomous mobile robots. The goal of this paper is to simulate a SLAM process on the advanced software development. The model represents the system itself, whereas the simulation represents the operation of the system over time. And the software architecture will help us to focus our work to realize our wish with least trivial work. It is an open-source meta-operating system, which provides us tremendous tools for robotics related problems. Specifically, we address the advanced vehicles should have the ability to analyze the structured and unstructured environment based on solving the search-based planning and then we move to discuss interested in reinforcement learning-based model to optimal trajectory in order to apply to autonomous systems.
{"title":"Search-Based Planning and Reinforcement Learning for Autonomous Systems and Robotics","authors":"Than D. Le","doi":"10.36227/techrxiv.11607348.v1","DOIUrl":"https://doi.org/10.36227/techrxiv.11607348.v1","url":null,"abstract":"In this chapter,\u0000we address the competent Autonomous Vehicles should have the ability to analyze\u0000the structure and unstructured environments and then to localize itself\u0000relative to surrounding things, where GPS, RFID or other similar means cannot\u0000give enough information about the location. Reliable SLAM is the most basic\u0000prerequisite for any further artificial intelligent tasks of an autonomous\u0000mobile robots. The goal of this paper is to simulate a SLAM process on the\u0000advanced software development. The model represents the system itself, whereas\u0000the simulation represents the operation of the system over time. And the\u0000software architecture will help us to focus our work to realize our wish with\u0000least trivial work. It is an open-source meta-operating system, which provides\u0000us tremendous tools for robotics related problems.\u0000\u0000Specifically, we\u0000address the advanced vehicles should have the ability to analyze the structured\u0000and unstructured environment based on solving the search-based planning and\u0000then we move to discuss interested in reinforcement learning-based model to\u0000optimal trajectory in order to apply to autonomous systems.","PeriodicalId":209965,"journal":{"name":"Deep Learning for Unmanned Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116613546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1007/978-3-030-77939-9_11
K. Kabore, Samet Güler
{"title":"Deep Learning Based Formation Control of Drones","authors":"K. Kabore, Samet Güler","doi":"10.1007/978-3-030-77939-9_11","DOIUrl":"https://doi.org/10.1007/978-3-030-77939-9_11","url":null,"abstract":"","PeriodicalId":209965,"journal":{"name":"Deep Learning for Unmanned Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113966401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1007/978-3-030-77939-9_12
Pritam Ghosh, Subhranil Mustafi, Kaushik Mukherjee, Sanket Dan, Kunal Roy, S. Mandal, Santanu Banik
{"title":"Image-Based Identification of Animal Breeds Using Deep Learning","authors":"Pritam Ghosh, Subhranil Mustafi, Kaushik Mukherjee, Sanket Dan, Kunal Roy, S. Mandal, Santanu Banik","doi":"10.1007/978-3-030-77939-9_12","DOIUrl":"https://doi.org/10.1007/978-3-030-77939-9_12","url":null,"abstract":"","PeriodicalId":209965,"journal":{"name":"Deep Learning for Unmanned Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132875213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1007/978-3-030-77939-9_20
Sikandar Zaheer, M. Iqbal, Iftikhar Ahmad, Suleman Khan, R. Khan
{"title":"Detection and Recognition of Vehicle's Headlights Types for Surveillance Using Deep Neural Networks","authors":"Sikandar Zaheer, M. Iqbal, Iftikhar Ahmad, Suleman Khan, R. Khan","doi":"10.1007/978-3-030-77939-9_20","DOIUrl":"https://doi.org/10.1007/978-3-030-77939-9_20","url":null,"abstract":"","PeriodicalId":209965,"journal":{"name":"Deep Learning for Unmanned Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133588082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1007/978-3-030-77939-9_19
Samreen, M. Iqbal, Iftikhar Ahmad, Suleman Khan, R. Khan
{"title":"Language Modeling and Text Generation Using Hybrid Recurrent Neural Network","authors":"Samreen, M. Iqbal, Iftikhar Ahmad, Suleman Khan, R. Khan","doi":"10.1007/978-3-030-77939-9_19","DOIUrl":"https://doi.org/10.1007/978-3-030-77939-9_19","url":null,"abstract":"","PeriodicalId":209965,"journal":{"name":"Deep Learning for Unmanned Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127931343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1007/978-3-030-77939-9_21
Muhammad Iqbal, Iftikhar Ahmad, Tamoor Khan, Suleman Khan, Muneer Ahmad, Lulu Wang
{"title":"Recent Advances of Deep Learning in Biology","authors":"Muhammad Iqbal, Iftikhar Ahmad, Tamoor Khan, Suleman Khan, Muneer Ahmad, Lulu Wang","doi":"10.1007/978-3-030-77939-9_21","DOIUrl":"https://doi.org/10.1007/978-3-030-77939-9_21","url":null,"abstract":"","PeriodicalId":209965,"journal":{"name":"Deep Learning for Unmanned Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116898045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1007/978-3-030-77939-9_18
A. Khan, A. Khattak, M. Asghar, Muhammad Naeem, Aziz Ud Din
{"title":"Playing First-Person Perspective Games with Deep Reinforcement Learning Using the State-of-the-Art Game-AI Research Platforms","authors":"A. Khan, A. Khattak, M. Asghar, Muhammad Naeem, Aziz Ud Din","doi":"10.1007/978-3-030-77939-9_18","DOIUrl":"https://doi.org/10.1007/978-3-030-77939-9_18","url":null,"abstract":"","PeriodicalId":209965,"journal":{"name":"Deep Learning for Unmanned Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121459425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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