Modeling evidential grids using semantic context information for dynamic scene perception

作者：

Highlights：

• A Dynamic Local Perception system using meta-knowledge information is proposed.

• The strategy relies on influences of the meta-knowledge to model an evidential grid.

• The mechanism handles semantic, dynamic and uncertainty aspects in representation.

• Performance of the strategy improves representation of dynamic urban environments.

摘要

•A Dynamic Local Perception system using meta-knowledge information is proposed.•The strategy relies on influences of the meta-knowledge to model an evidential grid.•The mechanism handles semantic, dynamic and uncertainty aspects in representation.•Performance of the strategy improves representation of dynamic urban environments.

论文关键词：Dynamic perception,Semantic context image,Evidential grids,Belief function theory,Contextual fusion,Intelligent vehicles

论文评审过程：Received 20 July 2020, Revised 10 November 2020, Accepted 12 January 2021, Available online 14 January 2021, Version of Record 20 January 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.106777