| Description |
1 online resource (ix, 110 pages) : illustrations (some color) |
| Series |
EAI/Springer Innovations in Communication and Computing Series |
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EAI/Springer innovations in communication and computing.
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| Contents |
Intro -- Preface -- Contents -- Assessment and Prospects for Using Digital Technologies in the Development of Transport Systems -- 1 Introduction -- 1.1 Literature Review -- 1.2 Problem Statement -- 2 Methods and Materials -- 3 Results -- 3.1 Blockchain -- 3.2 Customer Relationship Management -- 3.3 Internet of Things -- 3.4 Rosstat -- 4 Discussion -- 5 Conclusions -- References -- Lane Detection in Autonomous Vehicles Using AI -- 1 Introduction -- 1.1 Role of AI in Autonomous Vehicles -- 1.2 In-Vehicle Data Collection and Communication System -- 2 AI-Based Functions in Autonomous Vehicles |
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3 Lane Detection in Autonomous Vehicles -- 3.1 Computer Vision -- 3.2 Python and Computer Vision -- 4 Proposed Methodology -- 4.1 Acquiring Image from Video -- 4.2 Image Preprocessing -- 4.3 Region of Interest -- 4.4 Top-View Transform -- 4.5 Hough Transform -- 5 Software Result -- 6 Conclusion -- References -- Dynamic Control, Architecture, and Communication Protocol for Swarm Unmanned Aerial Vehicles -- 1 Introduction -- 2 Applications -- 2.1 Surveillance and Monitoring -- 2.2 Leisure Pursuit -- 2.3 Disaster Management -- 2.4 Rescue Drone -- 2.5 UAV Mapping -- 3 Types of UAV -- 4 UAV Dynamics |
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4.1 UAV Design -- 4.2 Sensors Used -- 5 Swarm Communication Architecture -- 5.1 Centralized Communication Architecture -- 5.2 Decentralized Communication Architecture -- 5.3 Single Group Swarm Ad Hoc Architecture -- 5.4 Multi-group Ad Hoc Network -- 5.5 Multilayer Ad Hoc Network -- 6 Routing Protocol -- 6.1 Routing Technologies -- 6.2 Routing Protocol Classifications -- 6.3 Routing Protocols Based on Topology -- Static Routing Protocol -- Proactive Routing Protocol (PRP) -- Reactive Routing Protocol (RRP) -- Hybrid Routing Protocol (HRP) -- 6.4 Position-Based Routing Protocol |
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6.5 Swarm Intelligence-Based Routing Protocol -- 7 Conclusion -- References -- Visual Perception Stack for Autonomous Vehicle -- 1 Introduction -- 2 Image Formation -- 3 Camera Calibration -- 3.1 Pose Estimation Form P -- 3.2 Alternative Approach -- 4 Visual Depth Perception -- 4.1 Find the Disparity Between the Two Images -- 4.2 Decompose the Camera Matrix -- 4.3 Depth Map Generation -- 5 Image Feature Extraction, Description, and Matching -- 5.1 Feature Detection -- 5.2 Feature Description -- 5.3 Feature Matching -- 5.4 Outlier Rejection -- 5.5 Visual Odometry -- 6 Neural Network |
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6.1 Feed Forward Neural Network -- 7 Conclusion -- References -- IoT-Based Unmanned Aerial Vehicle (UAV) for Smart Farming -- 1 Introduction -- 2 Sensors Used in Smart Farming -- 2.1 Temperature Sensor -- 2.2 Wind Sensor -- 2.3 Soil Water Content -- 2.4 Soil Moisture Content -- 2.5 pH Sensor -- 2.6 Electrical Conductivity Sensor -- 2.7 Wireless Sensor Network (WSN) -- 3 IoT Application in Smart Farming -- 4 Crop and Weed Monitoring -- 4.1 Data Monitoring -- 4.2 Data Processing Techniques -- 5 Conclusion -- References -- Insight Into Safety Challenges of Intelligent Transportation Systems -- 1 Introduction |
| Summary |
This book presents various application areas of computing in the automotive sector. The authors explain how computing enhances the performance of vehicles, covering the applications of computing in smart transportation and the future scope. The authors focus on computing for vehicle safety in conjunction with the latest technologies in Internet of Things (IoT). The book provides a holistic approach to computing in an inter-disciplinary and unified view. Topics covered include driverless automated navigation systems, smart transportation, self-learning systems, in-vehicle intelligent systems, and off-road vehicle diagnosis and maintenance, among others. The authors include simulated examples and case studies for better understanding of the technologies and applications. The book is intended for a wide range of readers from students to researchers and industry practitioners and is a useful resource for those planning to pursue research in the area of computing and autonomous driving vehicles. Features an interdisciplinary approach to smart transportation systems, including intelligent vehicles, safety systems; Includes simulated examples and case studies for better understanding of presented technologies and their applications; Relevant for audience in a disciplines including automotive, electrical engineering, electronics, and computer science. |
| Notes |
Description based upon print version of record |
| Subject |
Intelligent transportation systems.
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Internet of things.
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Automated vehicles.
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Automated vehicles
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Intelligent transportation systems
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Internet of things
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| Form |
Electronic book
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| Author |
Naganathan, Archana
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Jayarajan, Niresh
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Bin Ibne Reaz, Mamun
|
| ISBN |
9783031386695 |
|
3031386698 |
|
