Lidar Data Noise Models and Methodology for Sim-To-Real Domain Generalization and Adaptation in Autonomous Driving Perception

AuthID
P-00V-PBS
4
Author(s)
Espadinha, J
·
Lebedev, I
·
Lukic, L
·
Tipo de Documento
Proceedings Paper
Year published
2021
Publicado
in 2021 32ND IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) in IEEE Intelligent Vehicles Symposium, ISSN: 1931-0587
Volume: 2021-July, Páginas: 797-803 (7)
Conference
32Nd Ieee Intelligent Vehicles Symposium (Iv), Date: JUL 11-17, 2021, Location: ELECTR NETWORK, Patrocinadores: IEEE, Toyota, TierIV, Denso, AISIN Corp, J Quad Dynam, Totota Tech Dev Corp, SenseTime, IDTechEx, Qualcomm, Toshiba, Sony, Natl Inst Informat & Commun Technol, Tateisi Sci & Technol Fdn, Telecommunicat Advancement Fdn, KDDI Fdn, Kajima Fdn, Kayamori Fdn Informat Sci Advancement, Daiko Fdn
Indexing
Publication Identifiers
SCOPUS: 2-s2.0-85118822744
Wos: WOS:000782373100114
Source Identifiers
ISSN: 1931-0587
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