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 Intersection (CI). The underlying idea is to augment the low dimensional track. We investigate whether the augmentation approaches proposed for mode mixing in the Interacting Multiple Model (IMM) algorithm can also be employed for the CI. As the augmentation influences the CI optimization, we compare different optimization variants. Finally, we evaluate the presented approaches for collective perception.
Unequal Dimension Track-to-Track Fusion Approaches Using Covariance Intersection
IEEE Transactions on Intelligent Transportation Systems ; 23 , 6 ; 5881-5886
2022-06-01
1910655 byte
Article (Journal)
Electronic Resource
English
Comparison of Covariance Based Track Association Approaches Using Simulated Radar Data
Springer Verlag | 2012
|Comparison of Covariance Based Track Association Approaches Using Simulated Radar Data
Online Contents | 2012
|Comparison of Covariance Based Track Association Approaches Using Simulated Radar Data
Online Contents | 2014
|