TY - GEN
T1 - Investigation on the performance of velocity estimation of vehicles from airborne LiDAR data
AU - Yao, Wei
AU - Stilla, Uwe
AU - Wu, Jianwei
AU - Hinz, Stefan
PY - 2011
Y1 - 2011
N2 - Airborne LiDAR (ALS) data are characterized by involving not only rich spatial but also temporal information. It is possible to extract moving vehicles with motion artifacts from single-pass airborne LiDAR data, based on which the velocity of vehicles can be derived. In this paper, a series of methods for velocity estimation of moving vehicles using airborne LiDAR data is presented and evaluated. The decision to select the proper method can be therefore made upon examine theoretic accuracy depending on scanning configurations between sensor flight and moving vehicles.
AB - Airborne LiDAR (ALS) data are characterized by involving not only rich spatial but also temporal information. It is possible to extract moving vehicles with motion artifacts from single-pass airborne LiDAR data, based on which the velocity of vehicles can be derived. In this paper, a series of methods for velocity estimation of moving vehicles using airborne LiDAR data is presented and evaluated. The decision to select the proper method can be therefore made upon examine theoretic accuracy depending on scanning configurations between sensor flight and moving vehicles.
UR - http://www.scopus.com/inward/record.url?scp=79957661887&partnerID=8YFLogxK
U2 - 10.1109/JURSE.2011.5764705
DO - 10.1109/JURSE.2011.5764705
M3 - Conference contribution
AN - SCOPUS:79957661887
SN - 9781424486571
T3 - 2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings
SP - 5
EP - 8
BT - 2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings
T2 - IEEE GRSS and ISPRS Joint Urban Remote Sensing Event, JURSE 2011
Y2 - 11 April 2011 through 13 April 2011
ER -