Metamodelling of Noise to Image Classification Performance

Autor: Jens De Hoog, Ali Anwar, Philippe Reiter, Siegfried Mercelis, Peter Hellinckx

Publikováno v: IEEE Access, Vol 11, Pp 47994-48006 (2023)

Machine Learning (ML) has made its way into a wide variety of advanced applications, where high accuracies can be achieved when these ML models are evaluated in the same context as they were trained and validated on. However, when these high-accuracy

Externí odkaz: https://doaj.org/article/e13249e908764d099de1068abc3338ab

Autonomous Navigation Using Model-Based Reinforcement Learning

Autor: Siemen Herremans, Jens de Hoog, Simon Vanneste, Dieter Balemans, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Publikováno v: Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783031199448
3PGCIC 2022 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing

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Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1331d99583b6a9a36c616866d2e3cb2a
https://doi.org/10.1007/978-3-031-19945-5_27

Quality-Aware Compression of Point Clouds with Google Draco

Autor: Jens de Hoog, Ali Anwar, Peter Hellinckx, Steven Latre, Ahmed N. Ahmed

Publikováno v: Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783030898984
3PGCIC
Advances on P2P, Parallel, Grid, Cloud and Internet Computing : proceedings of the 16th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2021)

Situational awareness is getting traction in the field of autonomous inland vessels. Large amounts of data needs to be shared in order to set up this awareness. This ranges from relatively small positional updates, to consistent streams of sensory da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54b5aee02829d3680b98f6407f2c8a8a
https://doi.org/10.1007/978-3-030-89899-1_23

Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles

Autor: Dieter Balemans, Jens de Hoog, Siegfried Mercelis, Yves De Boeck, Peter Hellinckx, Ali Anwar

Publikováno v: Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783030611040
3PGCIC
Advances on P2P, Parallel, Grid, Cloud and Internet Computing: proceedings of the 15th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2020) : 7th International Workshop on Distributed Embedded Systems in conjunction with 15th 3PGCIC-2020 Conference, October 28-30, 2020, Yonago, Tottori, Japan

To accurately test and validate algorithms used in autonomous vehicles, numerous test vehicles and very large data sets are required, resulting in safety constraints and increased financial cost. For this reason, it is desired to train the algorithms

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84f1c5d89db16efac250c3a7369f2bcf
https://doi.org/10.1007/978-3-030-61105-7_29

Online reverse engineering of CAN data

Autor: Toon Bogaerts, Peter Hellinckx, Siegfried Mercelis, Jens de Hoog, Wim Casteels

Publikováno v: Internet of Things

These days, most vehicles are equipped with the Controller Area Network (CAN) messaging system. This system enable numerous on-board sensors to share useful data with each other. Clearly, this data can be of high value for other applications within I

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a527969b69878a253adf3393f5961cff
https://hdl.handle.net/10067/1699320151162165141