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Title:

Model-based Offline Vehicle Tracking in Automotive Applications Using a Precise 3D Model

Document type:
Konferenzbeitrag
Author(s):
Ye, Egon; Althoff, Matthias
Pages contribution:
1128–1135
Abstract:
Object tracking aims at estimating the state of moving objects based on remote measurements. To evaluate online algorithms in automotive systems, ground truth data must be acquired, which is a time-consuming and expensive approach. We propose a novel offline approach to generate ground truth data from existing sensor measurements using CAD models. In our approach, we provide error bounds for the localization of the objects based on the measurement noise of a single laser beam and the sensitivity...     »
Book / Congress title:
Proc. of the 22nd IEEE International Conference on Intelligent Transportation Systems
Year:
2019
Fulltext / DOI:
doi:10.1109/ITSC.2019.8917226
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