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Embedded Platforms for UAS Landing Path and Obstacle Detection: Integration and Development of Unmanned Aircraft Systems 1st ed. 2018 [Kõva köide]

  • Formaat: Hardback, 112 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 93 Illustrations, color; 6 Illustrations, black and white; XIV, 112 p. 99 illus., 93 illus. in color., 1 Hardback
  • Sari: Studies in Systems, Decision and Control 136
  • Ilmumisaeg: 24-Jan-2018
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319731734
  • ISBN-13: 9783319731735
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Embedded Platforms for UAS Landing Path and Obstacle Detection: Integration and Development of Unmanned Aircraft Systems 1st ed. 2018Suurem pilt
  • Formaat: Hardback, 112 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 93 Illustrations, color; 6 Illustrations, black and white; XIV, 112 p. 99 illus., 93 illus. in color., 1 Hardback
  • Sari: Studies in Systems, Decision and Control 136
  • Ilmumisaeg: 24-Jan-2018
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319731734
  • ISBN-13: 9783319731735
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783319731735.html
Märksõnad:
This book reports on the design and development of a system that assists remote pilots during the landing procedure. In particular, it covers a previously neglected topic, namely the search for the best pathway and landing site. It describes the system’s components, such as the ultrasonic sensor, infrared sensor and optical sensor, in detail, and discusses the experimental tests carried out in both controlled laboratory and real-world environments. Providing a fascinating survey of the state of the art in the field of unmanned aircraft system electronics design and development, the book also presents recent advances in and cutting-edge methodologies for the development of acquisition systems and inexpensive sensor design for navigation data.
1 Introduction to Unmanned Aircraft Systems (UAS)
1(12)
1.1 Introduction
1(2)
1.2 Why UAS
3(1)
1.3 UAS Classification
3(10)
2 Sonar Sensor Model for Safe Landing and Obstacle Detection
13(16)
2.1 Introduction
13(1)
2.2 System Design
14(3)
2.3 Landing Path Extraction
17(1)
2.4 System Structure
18(3)
2.5 Test Case and Results
21(8)
3 Atmosphere Effects on the SRS
29(18)
3.1 Introduction
29(1)
3.2 Theoretical Framework
29(2)
3.3 SRS Testing
31(1)
3.4 Experimental Analysis Setup and Results
32(6)
3.5 SRS Sensibility
38(1)
3.6 DHT11---Temperature and Humidity Sensor
38(9)
4 Integration Among Ultrasonic and Infrared Sensors
47(16)
4.1 Introduction
47(1)
4.2 Infrared Sensor---IRS
47(5)
4.3 Sensors Integration
52(4)
4.4 Simulation and Results
56(4)
4.5 Conclusion
60(3)
5 Optical Sensor for UAS Aided Landing
63(18)
5.1 Introduction
63(1)
5.2 Vision-Based Embedded System
64(4)
5.2.1 Camera
64(4)
5.3 Extract the Camera Position and Attitude
68(4)
5.3.1 Camera Calibration
69(1)
5.3.2 Point's Extraction
69(2)
5.3.3 Orientation
71(1)
5.4 Validation Procedure
72(4)
5.4.1 Design of Landing Pattern
73(1)
5.4.2 Photogrammetric Survey
73(2)
5.4.3 Camera Orientation
75(1)
5.4.4 Comparison
76(1)
5.5 Results
76(2)
5.6 Conclusion
78(3)
6 UAS Endurance Enhancement
81(16)
6.1 Introduction
81(1)
6.2 HUAS Conceptual Design
82(2)
6.3 Weights Estimation and Balloon Sizing
84(5)
6.3.1 Takeoff Weight Estimation
85(1)
6.3.2 Ballon Static Performance and Sizing
86(3)
6.4 Preliminary Results
89(3)
6.5 Conclusion and Further Work
92(5)
7 Conclusions
97(2)
Appendix 99(4)
References 103(4)
About the Author 107(2)
Author Award 109(2)
Author Publications 111