@inproceedings{bba8cfa334814fbcb7c5aaf3cca03914,
title = "Occupancy grid fusion prototyping using automotive virtual validation environment",
abstract = "This paper walks through the occupancy grid fusion algorithm prototyping process. The implementation consists of core fusion algorithms using probability derived from inverse sensor models. Preliminary results are obtained using an automotive virtual validation tool and phenomenological sensor models of radars, lidars and selected functions of vision sensors. The purpose of the developed framework is to perform a relative performance assessment between certain grid computation and fusion methods. Assessment is carried out by comparing computed results with reference data. Virtual validation is used to enable quick and cost effective reference data generation in comparison to real world testing.",
keywords = "ADAS, Automated Driving, Inverse Sensor Model, Occupancy Grid, Sensor Fusion",
author = "Pawe{\l} Markiewicz and Krzysztof Kogut and Maciej R{\'o}{\'z}ewicz and Pawe{\l} Skruch and Roman Starosolski",
note = "Publisher Copyright: {\textcopyright} 2018 ACM.; 6th International Conference on Control, Mechatronics and Automation, ICCMA 2018 ; Conference date: 12-10-2018 Through 14-10-2018",
year = "2018",
month = oct,
day = "12",
doi = "10.1145/3284516.3284540",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "81--85",
booktitle = "ICCMA 2018 - Proceedings of the 6th International Conference on Control, Mechatronics and Automation",
address = "United States",
}