Cargando…
Vehicle Detection Based on Probability Hypothesis Density Filter
In the past decade, the developments of vehicle detection have been significantly improved. By utilizing cameras, vehicles can be detected in the Regions of Interest (ROI) in complex environments. However, vision techniques often suffer from false positives and limited field of view. In this paper,...
Autores principales: | Zhang, Feihu, Knoll, Alois |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851024/ https://www.ncbi.nlm.nih.gov/pubmed/27070621 http://dx.doi.org/10.3390/s16040510 |
Ejemplares similares
-
Multiple Vehicle Cooperative Localization with Spatial Registration Based on a Probability Hypothesis Density Filter
por: Zhang, Feihu, et al.
Publicado: (2014) -
Neural Network Based Uncertainty Prediction for Autonomous Vehicle Application
por: Zhang, Feihu, et al.
Publicado: (2019) -
Adaptive Collaborative Gaussian Mixture Probability Hypothesis Density Filter for Multi-Target Tracking
por: Yang, Feng, et al.
Publicado: (2016) -
A Student’s t Mixture Probability Hypothesis Density Filter for Multi-Target Tracking with Outliers
por: Liu, Zhuowei, et al.
Publicado: (2018) -
Two Measurement Set Partitioning Algorithms for the Extended Target Probability Hypothesis Density Filter
por: Han, Yulan, et al.
Publicado: (2019)