2026-09-20T17:11:22Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/110430 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Dullerud, Geir E King, Derek B 2021-09-17T01:10:39Z 2021-09-17T01:10:39Z 2021-03-31 2021-05 This 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. Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-09-16 without embargo terms The student, Derek King, accepted the attached license on 2021-03-30 at 17:40. The student, Derek King, submitted this Thesis for approval on 2021-03-30 at 17:48. This Thesis was approved for publication on 2021-03-31 at 14:40. DSpace SAF Submission Ingestion Package generated from Vireo submission #16225 on 2021-09-16 at 16:40:23 Made available in DSpace on 2021-09-17T01:10:39Z (GMT). No. of bitstreams: 2 KING-THESIS-2021.pdf: 2309947 bytes, checksum: 0003536dbaa53b610fa2470a7b7d89f7 (MD5) LICENSE.txt: 4207 bytes, checksum: 460ee4fdaeb2532f5e737eefcbc4f62b (MD5) Previous issue date: 2021-03-31 application/pdf http://hdl.handle.net/2142/110430 en Copyright 2021 Derek King GridSLAM SLAM RAPTOR GridSLAM on the RAPTOR autonomous vehicle text Thesis Electrical & Computer Engineering Computer Engineering University of Illinois at Urbana-Champaign Thesis M.S.