DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles

Title:: DeepSTEP - Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles
Document type:: Konferenzbeitrag
Author(s):: Huch, Sebastian; Sauerbeck, Florian; Betz, Johannes
Book / Congress title:: 2023 IEEE Intelligent Vehicles Symposium (IV)
Publisher:: IEEE
Date of publication:: 04.06.2023
Year:: 2023
Covered by:: Scopus
Fulltext / DOI:: doi:10.1109/iv55152.2023.10186768
TUM Institution:: Lehrstuhl für Fahrzeugtechnik
BibTeX