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University of Illinois at Urbana-Champaign
GridSLAM on the RAPTOR autonomous vehicle
Abstract
dc:descriptionThis thesis develops and applies GridSLAM on a small autonomous car-like vehicle for indoor environments. GridSLAM uses a particle filter to generate a discretized 2D occupancy map. This GridSLAM implementation uses sparse, shared, and lazy data structures to reduce memory usage and computation requirements.
Degree
thesis:*- Name thesis:degree_name
- M.S.
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Computer Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2021
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- King, Derek B
- Contributors dc:contributor
-
- Dullerud, Geir E
Subjects
dc:subject × 3Rights
dc:rights- Statement dc:rights
-
- Copyright 2021 Derek King
- Language dc:language
- en
Identifiers
dc:identifier.*- Handle dc:identifier
- http://hdl.handle.net/2142/110430
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/110430