Multitarget ground tracking with road maps and particle filters

This paper studies the problem of tracking multiple targets on the ground when information about the road map is available. It introduces an algorithmic structure which employs a particle filter for estimation and tracking in conjunction with a gating function and a data association scheme for measurement-to-track assignment. The proposed technique is based on the variable structure multiple model particle filter and the joint probabilistic data association algorithm