TY - GEN
T1 - The Impact of Adverse Environmental Conditions on Fiducial Marker Detection from Rotorcraft
AU - Choi, Su Yeon
AU - Lee, Jongwon
AU - Bretl, Timothy
N1 - Publisher Copyright:
© 2024 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
PY - 2024
Y1 - 2024
N2 - This paper quantifies the impact of adverse environmental conditions on the detection of fiducial markers (i.e., artificial landmarks) by color cameras mounted on rotorcraft. We restrict our attention to square markers with a black-and-white pattern of grid cells that can be nested to allow detection at multiple scales. These markers have the potential to enhance the reliability of precision takeoff and landing at vertiports by flying vehicles in urban settings. Previous studies have demonstrated high accuracy in pose estimation, primarily relying on image sequences captured indoors using handheld cameras. However, the scope of much of this prior work has been limited to indoor environments. Our work is based on image sequences collected outdoors with cameras mounted on a quadrotor during takeoff and landing operations under adverse environmental conditions that include variations in temperature, illumination, wind speed, and precipitation. We evaluate the marker detection performance based on both the detection rate and the accuracy of pose estimation.
AB - This paper quantifies the impact of adverse environmental conditions on the detection of fiducial markers (i.e., artificial landmarks) by color cameras mounted on rotorcraft. We restrict our attention to square markers with a black-and-white pattern of grid cells that can be nested to allow detection at multiple scales. These markers have the potential to enhance the reliability of precision takeoff and landing at vertiports by flying vehicles in urban settings. Previous studies have demonstrated high accuracy in pose estimation, primarily relying on image sequences captured indoors using handheld cameras. However, the scope of much of this prior work has been limited to indoor environments. Our work is based on image sequences collected outdoors with cameras mounted on a quadrotor during takeoff and landing operations under adverse environmental conditions that include variations in temperature, illumination, wind speed, and precipitation. We evaluate the marker detection performance based on both the detection rate and the accuracy of pose estimation.
UR - http://www.scopus.com/inward/record.url?scp=85192356004&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85192356004&partnerID=8YFLogxK
U2 - 10.2514/6.2024-0339
DO - 10.2514/6.2024-0339
M3 - Conference contribution
AN - SCOPUS:85192356004
SN - 9781624107115
T3 - AIAA SciTech Forum and Exposition, 2024
BT - AIAA SciTech Forum and Exposition, 2024
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA SciTech Forum and Exposition, 2024
Y2 - 8 January 2024 through 12 January 2024
ER -