A Lightweight Machine Learning Pipeline for LiDAR-simulation

Marcus R, Knoop N, Egger B, Stamminger M (2022)

Publication Type: Conference contribution

Publication year: 2022

Publisher: SCITEPRESS

City/Town: SETUBAL

Pages Range: 176-183

Conference Proceedings Title: DELTA: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON DEEP LEARNING THEORY AND APPLICATIONS

Event location: Lisbon PT

DOI: 10.5220/0011309100003277

Authors with CRIS profile

Richard Marcus Chair of Visual Computing (LGDV) Bernhard Egger Professur für Cognitive Computer Vision (Stiftungsprofessur) Marc Stamminger Professur für Visual Computing

Involved external institutions

Elektronische Fahrwerksysteme GmbH DE Germany (DE)

How to cite

APA:

Marcus, R., Knoop, N., Egger, B., & Stamminger, M. (2022). A Lightweight Machine Learning Pipeline for LiDAR-simulation. In DELTA: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON DEEP LEARNING THEORY AND APPLICATIONS (pp. 176-183). Lisbon, PT: SETUBAL: SCITEPRESS.

MLA:

Marcus, Richard, et al. "A Lightweight Machine Learning Pipeline for LiDAR-simulation." Proceedings of the 3rd International Conference on Deep Learning Theory and Applications (DeLTA), Lisbon SETUBAL: SCITEPRESS, 2022. 176-183.

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