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pro vyhledávání: '"Christoph Allig"'
Autor:
Gerd Wanielik, Christoph Allig
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:5881-5886
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 dimensi
Autor:
Gerd Wanielik, Christoph Allig
Publikováno v:
Advances in Radio Science, Vol 17, Pp 189-196 (2019)
A fundamental for an automated driving car is the awareness of all its surrounding road participants. Current approach to gather this awareness is to sense the environment by on-board sensors. In the future, Vehicle-to-X (V2X) might be able to improv
Publikováno v:
VNC
The idea behind collective perception is to improve vehicles' awareness about their surroundings. Every vehicle shares information describing its perceived environment by means of V2X communication. Similar to other information shared using V2X commu
Autor:
Christoph Allig, Gerd Wanielik
Publikováno v:
ITSC
In future, collective perception might be essential to gather the best possible environmental awareness for an automated driving vehicle. Collective perception means that every partner shares information describing its perceived environment by means
Autor:
Gerd Wanielik, Christoph Allig
Publikováno v:
FUSION
This document presents a novel track-to-track fusion (T2TF) approach for heterogeneous tracks. T2TF enables a distributed fusion structure, where tracks from local trackers are transmitted to a global tracker, that fuses the local tracks. T2TF offers