13136 / 13141 - Publications - 2019

13136 / 13141 - Artificial Intelligence Center

Publications 2019

Books, Book chapters and Lecture notes, Dissertations, Research reports, Unpublished lectures, Proceedings, Papers, Patents

Papers in WoS Journals

FAIGL, J. Data collection path planning with spatially correlated measurements using growing self-organizing array. Applied Soft Computing. 2019, 75 130-147. ISSN 1568-4946. DOI 10.1016/j.asoc.2018.11.005.

ŠTĚPÁN, P., et al. Vision techniques for on-board detection, following and mapping of moving targets. Journal of Field Robotics. 2019, 36(1), 252-269. ISSN 1556-4959. DOI 10.1002/rob.21850.

FAIGL, J., et al. Unsupervised learning‐based flexible framework for surveillance planning with aerial vehicles. Journal of Field Robotics. 2019, 36(1), 270-301. ISSN 1556-4959. DOI 10.1002/rob.21823.

SPURNÝ, V., et al. Cooperative autonomous search, grasping, and delivering in a treasure hunt scenario by a team of unmanned aerial vehicles. Journal of Field Robotics. 2019, 36(1), 125-148. ISSN 1556-4959. DOI 10.1002/rob.21816.

Papers in Other Journals

PĚNIČKA, R., J. FAIGL, and M. SASKA. Variable Neighborhood Search for the Set Orienteering Problem and its application to other Orienteering Problem variants. European Journal of Operational Research. 2019, 276(3), 816-825. ISSN 0377-2217. DOI 10.1016/j.ejor.2019.01.047.

ČERTICKÝ, M., et al. Psychophysiological Indicators for Modeling User Experience in Interactive Digital Entertainment. Sensors. 2019, 19(5), 1-21. ISSN 1424-8220. DOI 10.3390/s19050989. Available from: https://www.mdpi.com/1424-8220/19/5/989

DRCHAL, J., M. ČERTICKÝ, and M. JAKOB. Data-driven Activity Scheduler for Agent-based Mobility Models. Transportation Research Part C: Emerging Technologies. 2019, 98 370-390. ISSN 0968-090X. DOI 10.1016/j.trc.2018.12.002.

Conference Proceedings

CUCHÝ, M., M. ŠTOLBA, and M. JAKOB. Integrated Route, Charging and Activity Planning for Whole Day Mobility with Electric Vehicles. In: Agents and Artificial Intelligence (Subseries of Lecture Notes in Computer Science). ICAART 2018: the 10th International Conference on Agents and Artificial Intelligence, Funchal, Madeira, 2018-01-16/2018-12-18. Basel: Springer Nature Switzerland AG, 2019. p. 274-289. 11352. ISSN 0302-9743. ISBN 978-3-030-05452-6. DOI 10.1007/978-3-030-05453-3_13.

BREJCHOVÁ, K., et al. Two-Stage Approach for Long-Term Motivation of Children to Study Robotics. In: Advances in Intelligent Systems and Computing. 9th International Conference on Robotics in Education, Malta, 2018-04-18/2018-04-20. Düsseldorf: Springer-VDI-Verlag, 2019. p. 137-148. ISSN 2194-5357. ISBN 978-3-319-97084-4. DOI 10.1007/978-3-319-97085-1_14.

The page was created 25.03.2019 05:00:01