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Feature-based Localization by using Static Objects of the Environment

Informationen zur Arbeit

Abschlussarbeitstyp: Master
Betreuer: Stefan Orf
Forschungsgruppe: Angewandte Technisch-Kognitive Systeme

Archivierungsnummer: 5036
Abschlussarbeitsstatus: Offen
Beginn: 27. April 2023
Abgabe: unbekannt

Weitere Informationen

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)