Traditional networked radar fusion technology adopts an open-loop signal processing
manner, in which multiple nodes independently detect or track target first, and then send …

Multi-sensor multi-target tracking is a popular topic in the field of information fusion. It
improves the accuracy and stability of target tracking by fusing multiple local sensor …

多传感器多目标跟踪是信息融合领域的热点问题, 其通过融合多个局部传感器数据,
提高目标跟踪精度和稳定性. 多传感器多目标跟踪按融合体系可分为分布式, 集中式, 混合式3 类 …

We consider the challenging problem of tracking multiple objects using a distributed network
of sensors. In the practical setting of nodes with limited field of views (FoVs), computing …

Multitarget tracking based on multisensor fusion perception is one of the key technologies to
realize the intelligent driving of automobiles and has become a research hotspot in the field …

Autonomous driving poses unique challenges for vehicle environment perception due to the
complex driving environment where the autonomous vehicle interacts with surrounding …

This paper proposes an efficient algorithm for tracking multiple targets using a network of
static and mobile sensors (robots). Multi-target tracking has a broad array of applications …

The detection and tracking of extended targets is a challenging problem. The accuracy of the
detections and the tracking is dependent on the granularity and the quality of the data …

We consider the problem of tracking multiple, unknown, and time-varying numbers of objects
using a distributed network of heterogeneous sensors. In an effort to derive a formulation for …

The fusion of tracks with different state spaces is referred to as heterogeneous track-to-track
fusion (HT2TF). In this paper, we present novel approaches for HT2TF using Covariance …