TY - GEN
T1 - UnmannedSim: Urban and multi-agent navigation network-enabled drones simulator for path planning and localization research
AU - Ahad, Sugata
AU - Shiu, Wai Ching Lucas
AU - Huang, Xin Yue
AU - Sajid, D. M.Zahin
AU - Lee, Max Jwo Lem
AU - Su, Meiling
AU - Hsu, Li Ta
N1 - Funding Information:
We would like to offer our special thanks to Dr Zhengtong Li from The Hong Kong Polytechnic University for the CFD data. We also wish to acknowledge Guohao Zhang from The Hong Kong Polytechnic University for the GNSS Error Simulation script.
Publisher Copyright:
© 2021 Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021. All rights reserved.
PY - 2021/9
Y1 - 2021/9
N2 - The possibility of deploying unmanned aerial vehicles (UAV) for smart city applications has sparked great interest in recent times. High-density cities like Hong Kong, Tokyo and New York have been moving forward to automation to lighten the load of the cities, as well as to provide a time saving, yet safe environment for their citizens. Simulating such UAV activities before practical implementation has therefore turned into a necessity. However, simulation of cities through traditional methods do not replicate the real-life errors in navigation caused by high-density tall buildings, variable wind speed, GNSS sensor measurement errors and other factors. In our research, we have built a new simulator named UnmannedSim which utilizes popular existing software packages such as AirSim and Unreal Engine while adding real-life errors to the simulator.
AB - The possibility of deploying unmanned aerial vehicles (UAV) for smart city applications has sparked great interest in recent times. High-density cities like Hong Kong, Tokyo and New York have been moving forward to automation to lighten the load of the cities, as well as to provide a time saving, yet safe environment for their citizens. Simulating such UAV activities before practical implementation has therefore turned into a necessity. However, simulation of cities through traditional methods do not replicate the real-life errors in navigation caused by high-density tall buildings, variable wind speed, GNSS sensor measurement errors and other factors. In our research, we have built a new simulator named UnmannedSim which utilizes popular existing software packages such as AirSim and Unreal Engine while adding real-life errors to the simulator.
UR - http://www.scopus.com/inward/record.url?scp=85120923678&partnerID=8YFLogxK
U2 - 10.33012/2021.18057
DO - 10.33012/2021.18057
M3 - Conference article published in proceeding or book
AN - SCOPUS:85120923678
T3 - Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021
SP - 1217
EP - 1227
BT - Proceedings of the 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021
PB - Institute of Navigation
T2 - 34th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2021
Y2 - 20 September 2021 through 24 September 2021
ER -
