A data-driven generative model for GPS sensors for autonomous driving

Autonomous driving (AD) is envisioned to have a significant impact on people's life regarding safety and comfort. Positioning is one of the key challenges in realizing AD, where global navigation systems (GNSS) is traditionally used as an important source of information. The area of GNSS are we...

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Veröffentlicht in:	2018 IEEE ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS) S. 1 - 5
Hauptverfasser:	Karlsson, Erik, Mohammadiha, Nasser
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 28.05.2018
Schriftenreihe:	ACM Conferences
Schlagworte:	Automobiles Autonomous driving Computational modeling Computing methodologies > Modeling and simulation > Model development and analysis > Model verification and validation Computing methodologies > Modeling and simulation > Model development and analysis > Modeling methodologies Data models Global navigation satellite system Global Positioning System GPS modeling Mathematical model Sensors Time series modeling time series modeling GPS modeling autonomous driving
ISBN:	1450357393, 9781450357395
Online-Zugang:	Volltext
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