Preface
Contents
Assessment andĀ Prospects forĀ Using Digital Technologies inĀ theĀ Development ofĀ Transport Systems
1 Introduction
1.1 Literature Review
1.2 Problem Statement
2 Methods andĀ Materials
3 Results
3.1 Blockchain
3.2 Customer Relationship Management
3.3 Internet ofĀ Things
3.4 Rosstat
4 Discussion
5 Conclusions
References
Lane Detection inĀ Autonomous Vehicles Using AI
1 Introduction
1.1 Role ofĀ AI inĀ Autonomous Vehicles
1.2 In-Vehicle Data Collection andĀ Communication System
2 AI-Based Functions inĀ Autonomous Vehicles
3 Lane Detection inĀ Autonomous Vehicles
3.1 Computer Vision
3.2 Python andĀ Computer Vision
4 Proposed Methodology
4.1 Acquiring Image fromĀ Video
4.2 Image Preprocessing
4.3 Region ofĀ Interest
4.4 Top-View Transform
4.5 Hough Transform
5 Software Result
6 Conclusion
References
Dynamic Control, Architecture, andĀ Communication Protocol forĀ Swarm Unmanned Aerial Vehicles
1 Introduction
2 Applications
2.1 Surveillance andĀ Monitoring
2.2 Leisure Pursuit
2.3 Disaster Management
2.4 Rescue Drone
2.5 UAV Mapping
3 Types ofĀ UAV
4 UAV Dynamics
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 onĀ Topology
Static Routing Protocol
Proactive Routing Protocol (PRP)
Reactive Routing Protocol (RRP)
Hybrid Routing Protocol (HRP)
6.4 Position-Based Routing Protocol
6.5 Swarm Intelligence-Based Routing Protocol
7 Conclusion
References
Visual Perception Stack forĀ 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 theĀ Disparity Between theĀ Two Images
4.2 Decompose theĀ Camera Matrix
4.3 Depth Map Generation
5 Image Feature Extraction, Description, andĀ Matching
5.1 Feature Detection
5.2 Feature Description
5.3 Feature Matching
5.4 Outlier Rejection
5.5 Visual Odometry
6 Neural Network
6.1 Feed Forward Neural Network
7 Conclusion
References
IoT-Based Unmanned Aerial Vehicle (UAV) forĀ Smart Farming
1 Introduction
2 Sensors Used inĀ 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 inĀ Smart Farming
4 Crop andĀ Weed Monitoring
4.1 Data Monitoring
4.2 Data Processing Techniques
5 Conclusion
References
Insight Into Safety Challenges ofĀ Intelligent Transportation Systems
1 Introduction
2 Overview ofĀ Intelligent Transportation System
2.1 Enabling Technology ofĀ ITS
2.2 ITS Components
3 Security Issues
3.1 Attacks onĀ Availability
3.2 Attack onĀ Authenticity
3.3 Attack onĀ Integrity
4 Solutions forĀ Security Issues
4.1 Protection Against theĀ Attack onĀ Availability
4.2 Protection Against theĀ Attack onĀ Authentication
4.3 Protection Against theĀ Attack onĀ Integrity
4.4 Challenges Faces by Security ofĀ ITS
5 Conclusion
References
Index