@inproceedings{d682aee3034a469487a034453344b1a7,
title = "2D Spatial Keystone Transform for Sub-Pixel Motion Extraction from Noisy Occupancy Grid Map",
abstract = "In this paper, we propose a novel sub-pixel motion extraction method, called as Two Dimensional Spatial Keystone Transform (2DS-KST), for the motion detection and estimation from successive noisy Occupancy Grid Maps (OGMs). It extends the KST in radar imaging or motion compensation to 2D real spatial case, based on multiple hypotheses about possible directions of moving obstacles. Simulation results show that 2DS-KST has a good performance on the extraction of sub-pixel motions in very noisy environment, especially for those slowly moving obstacles.",
keywords = "2DS-KST, keystone transform, motion extraction, occupancy grid map, robotics, sub-pixel",
author = "Hongqi Fan and Dawei Lu and Kucner, {Tomasz P.} and Martin Magnusson and Achim Lilienthal",
note = "Publisher Copyright: {\textcopyright} 2018 ISIF; 21st International Conference on Information Fusion, FUSION 2018 ; Conference date: 10-07-2018 Through 13-07-2018",
year = "2018",
month = sep,
day = "5",
doi = "10.23919/ICIF.2018.8455274",
language = "English",
isbn = "9780996452762",
series = "2018 21st International Conference on Information Fusion, FUSION 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2400--2406",
booktitle = "2018 21st International Conference on Information Fusion, FUSION 2018",
}