Advertisement

UAS Platforms and Applications for Mapping and Urban Analysis

  • Tony H. Grubesic
  • Jake R. Nelson
Chapter

Abstract

The use of unmanned aerial systems (sUAS) is growing rapidly. sUAS are used in a wide range of applications, including emergency response, law enforcement, infrastructure inspection and management, as well as mapping and surveying. In this chapter, we provide an overview of sUAS platforms and discuss many different applications of sUAS in urban (or near urban) settings, from public health to cargo transport and delivery. Readers should consider this chapter a thorough, but not all-encompassing, literature review on sUAS for urban applications.

Keywords

Drone Remotely piloted vehicles Fixed wing Rotary wing Multi-rotor Green infrastructure Environmental monitoring Public safety Public health Infrastructure inspection Law enforcement Transport Mapping 

References

  1. Anania, E. C., Rice, S., Pierce, M., Winter, S. R., Capps, J., Walters, N. W., & Milner, M. N. (2019). Public support for police drone missions depends on political affiliation and neighborhood demographics. Technology in Society, 57, 95–103.Google Scholar
  2. Bailey, T., & Durrant-Whyte, H. (2006). Simultaneous localization and mapping (SLAM): Part II. IEEE Robotics & Automation Magazine, 13(3), 108–117.CrossRefGoogle Scholar
  3. Berkowitz, K. L. (2018). Law enforcement: Use of drones saves time, money. The Ledger. Retrieved September 23, 2019, from https://tinyurl.com/y8aoqeb4
  4. Bhardwaj, A., Sam, L., Martín-Torres, F. J., & Kumar, R. (2016). UAVs as remote sensing platform in glaciology: Present applications and future prospects. Remote Sensing of Environment, 175, 196–204.CrossRefGoogle Scholar
  5. Byford, S. (2015). DJI announces $15,000 agricultural drone designed to spray crops. The Verge. Retrieved February 15, 2018, from https://tinyurl.com/y78fdmjd
  6. Chang, C. (2019). LAPD deploys controversial drone for the first time. Los Angeles Times. Retrieved from https://tinyurl.com/y83oq9o3
  7. Chang, Y. S., & Lee, H. J. (2018). Optimal delivery routing with wider drone-delivery areas along a shorter truck-route. Expert Systems with Applications, 104, 307–317.CrossRefGoogle Scholar
  8. Chauhan, D., Unnikrishnan, A., & Figliozzi, M. (2019). Maximum coverage capacitated facility location problem with range constrained drones. Transportation Research Part C: Emerging Technologies, 99, 1–18.CrossRefGoogle Scholar
  9. Claesson, A., Fredman, D., Svensson, L., Ringh, M., Hollenberg, J., Nordberg, P., & Ban, Y. (2016). Unmanned aerial vehicles (drones) in out-of-hospital-cardiac-arrest. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 24(1), 124.CrossRefGoogle Scholar
  10. Claesson, A., Svensson, L., Nordberg, P., Ringh, M., Rosenqvist, M., Djarv, T., & Hollenberg, J. (2017). Drones may be used to save lives in out of hospital cardiac arrest due to drowning. Resuscitation, 114, 152–156.CrossRefGoogle Scholar
  11. de Oliveira Silva, L., de Mello Bandeira, R. A., & Campos, V. B. G. (2017). The use of UAV and geographic information systems for facility location in a post-disaster scenario. Transportation Research Procedia, 27, 1137–1145.CrossRefGoogle Scholar
  12. Dormehl, L. (2018). Intel wants its fleet of drones to monitor America’s aging, unsafe bridges. Digital Trends. Retrieved February 24, 2019, from https://tinyurl.com/tmcx9qkGoogle Scholar
  13. Durrant-Whyte, H., & Bailey, T. (2006). Simultaneous localization and mapping: Part I. IEEE Robotics & Automation Magazine, 13(2), 99–110.CrossRefGoogle Scholar
  14. Dwyer, F. (2019). Drones for good: UAVs help survey poorly mapped areas of Africa. WeTalkUAV. Retrieved August 12, 2019, from https://tinyurl.com/ycj9lhb8
  15. Fahlstrom, P. G., & Gleason, T. J. (2012). Introduction to UAV systems (4th ed.). Chichester, UK: Wiley.Google Scholar
  16. Faust, A., Palunko, I., Cruz, P., Fierro, R., & Tapia, L. (2017). Automated aerial suspended cargo delivery through reinforcement learning. Artificial Intelligence, 247, 381–398.Google Scholar
  17. Feng, Q., Liu, J., & Gong, J. (2015). Urban flood mapping based on unmanned aerial vehicle remote sensing and random forest classifier—A case of Yuyao, China. Water, 7(4), 1437–1455.CrossRefGoogle Scholar
  18. Fuller, S. L. (2017). A day in the life of a US air force drone pilot. Avionics International. Retrieved from https://tinyurl.com/y74p53to
  19. Gadi, V. K., Tang, Y. R., Das, A., Monga, C., Garg, A., Berretta, C., & Sahoo, L. (2017). Spatial and temporal variation of hydraulic conductivity and vegetation growth in green infrastructures using infiltrometer and visual technique. Catena, 155, 20–29.CrossRefGoogle Scholar
  20. Gaitani, N., Burud, I., Thiis, T., & Santamouris, M. (2017). High-resolution spectral mapping of urban thermal properties with Unmanned Aerial Vehicles. Building and Environment, 121, 215–224.Google Scholar
  21. Gevaert, C. M., Persello, C., Sliuzas, R., & Vosselman, G. (2017). Informal settlement classification using point-cloud and image-based features from UAV data. ISPRS Journal of Photogrammetry and Remote Sensing, 125, 225–236.CrossRefGoogle Scholar
  22. Goodchild, A., & Toy, J. (2018). Delivery by drone: An evaluation of unmanned aerial vehicle technology in reducing CO2 emissions in the delivery service industry. Transportation Research Part D: Transport and Environment, 61, 58–67.Google Scholar
  23. Gu, X., Abdel-Aty, M., Xiang, Q., Cai, Q., & Yuan, J. (2019). Utilizing UAV video data for in-depth analysis of drivers’ crash risk at interchange merging areas. Accident Analysis & Prevention, 123, 159–169Google Scholar
  24. Haidari, L. A., Brown, S. T., Ferguson, M., Bancroft, E., Spiker, M., Wilcox, A., & Lee, B. Y. (2016). The economic and operational value of using drones to transport vaccines. Vaccine, 34(34), 4062–4067.CrossRefGoogle Scholar
  25. Hassaan, O., Nasir, A. K., Roth, H., & Khan, M. F. (2016). Precision forestry: Trees counting in urban areas using visible imagery based on an unmanned aerial vehicle. IFAC-PapersOnLine, 49(16), 16–21.CrossRefGoogle Scholar
  26. Hemmelder, S., Marra, W., Markies, H., & De Jong, S. M. (2018). Monitoring river morphology bank erosion using UAV imagery–A case study of the river Buëch, Hautes-Alpes, France. International Journal of Applied Earth Observation and Geoinformation, 73, 428–437.CrossRefGoogle Scholar
  27. Hong, I., Kuby, M., & Murray, A. T. (2018). A range-restricted recharging station coverage model for drone delivery service planning. Transportation Research Part C: Emerging Technologies, 90, 198–212.Google Scholar
  28. Inzerillo, L., Di Mino, G., & Roberts, R. (2018). Image-based 3D reconstruction using traditional and UAV datasets for analysis of road pavement distress. Automation in Construction, 96, 457–469.CrossRefGoogle Scholar
  29. Kanistras, K., Martins, G., Rutherford, M. J., & Valavanis, K. P. (2015). Survey of unmanned aerial vehicles (UAVs) for traffic monitoring. In K. Valavanis & G. Vachtsevanos (Eds.), Handbook of unmanned aerial vehicles. Dordrecht: Springer.Google Scholar
  30. Karpowicz, J. (2018). Stereographic mapping and drones: Taking UAS mapping to the limit. Commercial UAV News. Retrieved November 14, 2018, from https://tinyurl.com/y7bbt9wu
  31. Katz, D. (2018). Surveyors and other professional drone operators should be focused on accuracy and reliability. Commercial UAV News. Retrieved March 17, 2019, from https://tinyurl.com/y7vkknn5
  32. Khan, M. A., Ectors, W., Bellemans, T., et al. (2017). Unmanned aerial vehicle–based traffic analysis: Methodological framework for automated multivehicle trajectory extraction. Transportation Research Record, 2626, 25–33.CrossRefGoogle Scholar
  33. Khan, M. A., Ectors, W., Bellemans, T., et al. (2018). Unmanned aerial vehicle-based traffic analysis: A case study for shockwave identification and flow parameters estimation at signalized intersections. Remote Sensing, 10(3), 458.CrossRefGoogle Scholar
  34. Larsen, M. P., Eisenberg, M. S., Cummins, R. O., & Hallstrom, A. P. (1993). Predicting survival from out-of-hospital cardiac arrest: A graphic model. Annals of Emergency Medicine, 22(11), 1652–1658.CrossRefGoogle Scholar
  35. Liang, H., Li, W., Zhang, Q., Zhu, W., Chen, D., Liu, J., & Shu, T. (2017). Using unmanned aerial vehicle data to assess the three-dimension green quantity of urban green space: A case study in Shanghai, China. Landscape and Urban Planning, 164, 81–90.Google Scholar
  36. Lillian, B. (2018). Urban BVLOS drone project completed at cemetery site. Unmanned Aerial Online. Retrieved January 23, 2019, from https://tinyurl.com/yab7ldfk
  37. Lin, Y., Jiang, M., Yao, Y., Zhang, L., & Lin, J. (2015). Use of UAV oblique imaging for the detection of individual trees in residential environments. Urban Forestry & Urban Greening, 14(2), 404–412.CrossRefGoogle Scholar
  38. Manfreda, S., McCabe, M., Miller, P., Lucas, R., Pajuelo Madrigal, V., Mallinis, G., & Müllerová, J. (2018). On the use of unmanned aerial systems for environmental monitoring. Remote Sensing, 10(4), 641.CrossRefGoogle Scholar
  39. Margaritoff, M. (2018). Kespry’s new thermal drone inspection can accurately assess specific building damage. The Drive. Retrieved from https://tinyurl.com/y9xmt4or
  40. Matsunaga, K. (2017). Prodrone develops a long-distance delivery flight helicopter “DELIX”. Prodrone. Retrieved from https://tinyurl.com/y7epqk9s
  41. Murray, C. C., & Chu, A. G. (2015). The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery. Transportation Research Part C: Emerging Technologies, 54, 86–109.CrossRefGoogle Scholar
  42. Nex, F., & Remondino, F. (2014). UAV for 3D mapping applications: a review. Applied geomatics, 6(1), 1–15.Google Scholar
  43. Näsi, R., Honkavaara, E., Blomqvist, M., Lyytikäinen-Saarenmaa, P., Hakala, T., Viljanen, N., & Holopainen, M. (2018). Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft. Urban Forestry & Urban Greening, 30, 72–83.CrossRefGoogle Scholar
  44. Natural England. (2010). Natural England’s Green Infrastructure Guidance (NE176). Retrieved June 12, 2019, from http://publications.naturalengland.org.uk/publication/35033Google Scholar
  45. Park, S. I., & Um, J. S. (2018). Differentiating carbon sinks versus sources on a university campus using synergistic UAV NIR and visible signatures. Environmental Monitoring and Assessment, 190(11), 652.CrossRefGoogle Scholar
  46. Pulver, A., & Wei, R. (2018). Optimizing the spatial location of medical drones. Applied Geography, 90, 9–16.CrossRefGoogle Scholar
  47. Pulver, A., Wei, R., & Mann, C. (2016). Locating AED enabled medical drones to enhance cardiac arrest response times. Prehospital Emergency Care, 20(3), 378–389.CrossRefGoogle Scholar
  48. Rabta, B., Wankmüller, C., & Reiner, G. (2018). A drone fleet model for last-mile distribution in disaster relief operations. International Journal of Disaster Risk Reduction, 28, 107–112.CrossRefGoogle Scholar
  49. Rakha, T., & Gorodetsky, A. (2018). Review of Unmanned Aerial System (UAS) applications in the built environment: Towards automated building inspection procedures using drones. Automation in Construction, 93, 252–264.CrossRefGoogle Scholar
  50. Rattigan, K. (2019). Shell launches drone inspection trial. National Law Review. Retrieved from https://tinyurl.com/ybghajss
  51. Rees, M. (2018). Leonardo target drone authorised for military operations. Unmanned Systems Technology. Retrieved April 13, 2019, from https://tinyurl.com/yd23jn9s
  52. Rosenfeld, A. (2019). Are drivers ready for traffic enforcement drones? Accident Analysis & Prevention, 122, 199–206.CrossRefGoogle Scholar
  53. Rossi, M., Brunelli, D., Adami, A., Lorenzelli, L., Menna, F., Remondino, F. (2014). Gas-drone: Portable gas sensing system on UAVs for gas leakage localization. In Sensors (p. 1434). IEEE.Google Scholar
  54. Rutkin, A. (2016). Blood delivered by drone. NewScientist, 232, 24.Google Scholar
  55. Salvo, G., Caruso, L., & Scordo, A. (2014). Urban traffic analysis through an UAV. Procedia: Social and Behavioral Sciences, 111, 1083–1091.Google Scholar
  56. Sawyer, T. (2018). 60-mile-long drone inspection flight points to the future. Engineering News-Record. Retrieved December 9, 2018, from https://tinyurl.com/yccfxo7r
  57. Seguin, C., Blaquière, G., Loundou, A., Michelet, P., & Markarian, T. (2018). Unmanned aerial vehicles (drones) to prevent drowning. Resuscitation, 127, 63–67.Google Scholar
  58. Sinha, A., Tsourdos, A., & White, B. (2009). Monitoring the dispersion of a contaminant cloud in an urban region by a swarm of UAV sensors. IFAC Proceedings Volumes, 42(22), 7–12.CrossRefGoogle Scholar
  59. Tatum, M. C., & Liu, J. (2017). Unmanned aircraft system applications in construction. Procedia Engineering, 196, 167–175.CrossRefGoogle Scholar
  60. Terwilliger, B., Ison, D. C., Robbins, J., & Vincenzi, D. (2017). Small unmanned aircraft systems guide: Exploring designs, operations, regulations, and economics. Washington: Aviation Supplies & Academics.Google Scholar
  61. Tomas, J. P. (2017). The role of drones in telecommunications tower inspection. RCRWireless News. Retrieved January 23, 2018, from https://tinyurl.com/y9fm3jfe
  62. Tuna, G., Nefzi, B., & Conte, G. (2014). Unmanned aerial vehicle-aided communications system for disaster recovery. Journal of Network and Computer Applications, 41, 27–36.Google Scholar
  63. Van Tilburg, C. (2017). First report of using portable unmanned aircraft systems (drones) for search and rescue. Wilderness & Environmental Medicine, 28(2), 116–118.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Tony H. Grubesic
    • 1
  • Jake R. Nelson
    • 1
  1. 1.Geoinformatics and Policy Analytics Lab (GPAL), School of InformationUniversity of Texas at AustinAustinUSA

Personalised recommendations