This paper reviews the state-of-the-art multi-sensor fusion approaches applicable in the next-
generation intelligent transportation systems where connected vehicles are cooperatively …

In this paper, the distributed mixed H 2/H∞ fusion filter design problem is investigated for a
class of cyber-physical systems subject to non-ideal measurements under Round-Robin …

This paper presents an efficient information-theoretic sensor management method to
maximize the performance of the passive multi-sensor system for multi-target tracking. We …

This paper considers the problem of cooperative lidar sensing in vehicular networks. We
focus on the task of associating the vehicle-generated measurements by lidars to enable a …

Generalized Labeled Multi-Bernoulli (GLMB) densities arise in a host of multi-object system
applications analogous to Gaussians in single-object filtering. However, computing the …

This paper addresses the density based multi-sensor cooperative fusion using random finite
set (RFS) type multi-object densities (MODs). Existing fusion methods use scalar weights to …

This article proposes a solution of distributed multiple resolvable group targets tracking
(DMRGTT) by exploring the labeled multi-Bernoulli (LMB) filter and distributed fusion rules …

This paper addresses the problem of multitarget tracking using a network of sensing agents
with unknown positions. Agents have to both localize themselves in the sensor network and …

This paper provides a scalable, multi-sensor measurement adaptive track initiation
technique for labeled random finite set filters. A naive construction of the multi-sensor …

This paper addresses distributed multi-sensor multi-object tracking based on probability
hypothesis density (PHD) filter. Due to the scalar fusion weights, existing distributed fusion …