TY - GEN
T1 - Road-Map-Assisted ground moving target tracking using gausian misture PHD filter
AU - Yang, Bin
AU - Wang, Jun
AU - Yuan, Chang Shun
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/10/4
Y1 - 2017/10/4
N2 - In ground tracking applications, the majority of targets are vehicles, which are moving on roads. Since road maps can be achieved easily, the track performance and track continuity can be enhanced by exploiting road map information. In this paper, we adopt a one-dimensional road coordinates motion model and use linear road segments to approximate the curved ground coordinates road. Incorporating this modeled road map information, a probability hypothesis density (PHD) multiple target filter is applied to estimate these road constrained targets. We use Gaussian Mixture (GM) variant to implement the closed-form PHD filter in road coordinates linear Gaussian systems. The simulation results show that the approach of using GM-PHD filter with road map information can yield an effective ground moving target tracker.
AB - In ground tracking applications, the majority of targets are vehicles, which are moving on roads. Since road maps can be achieved easily, the track performance and track continuity can be enhanced by exploiting road map information. In this paper, we adopt a one-dimensional road coordinates motion model and use linear road segments to approximate the curved ground coordinates road. Incorporating this modeled road map information, a probability hypothesis density (PHD) multiple target filter is applied to estimate these road constrained targets. We use Gaussian Mixture (GM) variant to implement the closed-form PHD filter in road coordinates linear Gaussian systems. The simulation results show that the approach of using GM-PHD filter with road map information can yield an effective ground moving target tracker.
KW - GM-PHD filter
KW - Ground moving target
KW - Multiple target tracking
KW - Road map assisted
UR - https://www.scopus.com/pages/publications/85034645411
U2 - 10.1109/RADAR.2016.8059573
DO - 10.1109/RADAR.2016.8059573
M3 - 会议稿件
AN - SCOPUS:85034645411
T3 - 2016 CIE International Conference on Radar, RADAR 2016
BT - 2016 CIE International Conference on Radar, RADAR 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 CIE International Conference on Radar, RADAR 2016
Y2 - 10 October 2016 through 13 October 2016
ER -