Description |
1 online resource (408 pages) |
Series |
Smart Innovation, Systems and Technologies ; v. 86 |
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Smart innovation, systems, and technologies ; 86.
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Contents |
Preface -- Organization -- Organizing Committee -- Honorary Chairs -- Advisory Committee Chairs -- Conference Chairs -- Program Chairs -- Publication Chairs -- Local Organization Chairs -- Finance Chair -- Program Committees -- Contents -- Smart Vehicular Technology -- Easy i-Move: Structured Image Recognition Solution for Automatic Guided Vehicles -- Abstract -- 1 Introduction -- 2 RGB and HSI Color Model -- 2.1 RGB Color Model -- 2.2 HSI Color Model -- 3 System Operation Components -- 3.1 Challenges |
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4 The Image Recognition Strategy for AGV System5 Application of Image Recognition -- 6 Conclusions -- References -- Evaluating Multi-dimensional Abilities of Bus Drivers -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Self-rating Questionnaires -- 2.3 Hand-Eye Coordination Test -- 2.4 Grip Strength and Balance Ability Test -- 2.5 Experimental Procedures -- 2.6 Data Analysis -- 3 Results -- 3.1 The Self-rating Analysis -- 3.2 Hand-Eye Coordination Tests, Balance Ability and Hand Grip Strength -- 4 Discussion -- 5 Conclusion |
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Predicting the Travel Time in Using Recurrent Neural Networks: A Case Study of FuzhouAbstract -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 Problem Definition -- 3.2 Model Architecture -- 4 Experiments -- 4.1 Data Preparation -- 4.2 Model Training -- 4.3 Experimental Analysis -- 5 Conclusions -- Acknowledgement -- References -- Driving Behavior Motivation Model Research Based on Vehicle Trajectory Data -- 1 Introduction -- 2 Problem Description -- 2.1 A Summary of Driving Behavior Motivation Research |
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2.2 Driving Behavior Motivation Modeling Based on LDA3 Experiment -- 3.1 Experimental Environment -- 3.2 Experimental Data Set -- 3.3 Personal Driving Behavior Motive Mining Experiment -- 3.4 Experimental Results and Analysis -- 4 Conclusion -- References -- A Ranging Algorithm for Mobile Vehicles Based on Kalman Filter -- 1 Introduction -- 2 Ranging Model and Algorithm Design -- 2.1 Analysis of Algorithm -- 2.2 The Linear Model of Camera Imaging -- 2.3 Camera Calibration -- 2.4 Kalman Predictor -- 3 Ranging Experiment and Result Analysis |
Summary |
This book presents papers from the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2017). Held from 6 to 8 November 2017 in Kaohsiung, Taiwan, the conference was co-sponsored by Springer, Fujian University of Technology in China, Fujian Provincial Key Laboratory of Digital Equipment, Fujian Provincial Key Lab of Big Data Mining and Applications, and National Kaohsiung University of Applied Sciences in Taiwan. The book is a valuable resource for researchers and professionals engaged in all areas of smart vehicular technology, vehicular transportation, vehicular communication, and applications |
Notes |
International conference proceedings |
Bibliography |
""References""""Research on Detection Algorithm of Roadway Intersection Rule Detection Based on Big Data""; ""1 Introduction""; ""2 Vehicle Road Matching Algorithm Based on Angular Distance Weighting Model""; ""2.1 Angle Similarity""; ""2.2 Distance Similarity""; ""2.3 Weighted Similarity""; ""3 Design of Road Steering Change Detection Algorithm""; ""3.1 Trajectory Feature Recognition Based on Vehicle Steering Angle""; ""3.2 Change Detection of the Turning Rules for the Intersection""; ""4 Conclusion""; ""References"" |
Notes |
""3.1 Static Vehicle Experiment and Result Analysis"" |
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Includes author index |
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Print version record |
Subject |
Intelligent transportation systems -- Congresses
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TECHNOLOGY & ENGINEERING -- Engineering (General)
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Intelligent transportation systems
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Pan, Jeng-Shyang.
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Wu, Tsu-Yang.
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Zhao, Yong (Of Xi nan jiao tong da xue (China))
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Jain, L. C.
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ISBN |
9783319707303 |
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3319707302 |
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