Thema5036: Unterschied zwischen den Versionen
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|Ausschreibung=2023_04_Localization_Static_Objects.pdf | |Ausschreibung=2023_04_Localization_Static_Objects.pdf | ||
− | |Beschreibung DE=Autonomous Driving | + | |Beschreibung DE=Autonomous Driving in public traffic is more present then ever. Autonomous public transport shuttles or even self-driving consumer cars are nothing new. An autonomous vehicle must localize itself in order to act safe in its environment. While there are different localization approaches available, like GPS/RTK or SLAM, all of these have their downsides. To safeguard existing localization methods, this thesis aims at developing a further localization technique based on the static objects (like walls) in the environment. |
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Aktuelle Version vom 28. April 2023, 11:56 Uhr
Abschlussarbeitstyp: Master
Betreuer: Stefan Orf
Forschungsgruppe: Angewandte Technisch-Kognitive Systeme
Archivierungsnummer: 5036
Abschlussarbeitsstatus: Offen
Beginn:
27. April 2023
Abgabe: unbekannt
Autonomous Driving in public traffic is more present then ever. Autonomous public transport shuttles or even self-driving consumer cars are nothing new. An autonomous vehicle must localize itself in order to act safe in its environment. While there are different localization approaches available, like GPS/RTK or SLAM, all of these have their downsides. To safeguard existing localization methods, this thesis aims at developing a further localization technique based on the static objects (like walls) in the environment.
Ausschreibung: Download (pdf)