Localization and 3D Mapping Using 1D Automotive Radar Sensor

R. van Gaalen, Faruk Uysal

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)
142 Downloads (Pure)

Abstract

This paper establishes novel methods for vehicle localization and mapping using a 1D linear automotive radar array in conjuncture with pre-existing lidar maps, and tests if the generated radar map can be made to be 3 dimensional. The basic design of this study was to implement a SLAM (Simultaneous Localization And Mapping) system that co-registers radar data to radar data, and/or register radar data to lidar data. After the execution of experiments, it was established that it is possible to localize the car by relating observed radar data to premade lidar maps, and to continually add to a cumulative map made with the radar data that can further aid the localization process. Furthermore, the radar map created using the 1D linear automotive array can be extended to 3D with proposed processing chain, though more experiments to establish the full potential of this capability are recommended.
Original languageEnglish
Title of host publication2020 IEEE Radar Conference, RadarConf 2020
PublisherIEEE
Pages1272-1277
Number of pages6
ISBN (Electronic)9781728189420
DOIs
Publication statusPublished - Sept 2020
EventIEEE Radar Conference -
Duration: 21 Sept 202024 Sept 2020

Publication series

NameIEEE National Radar Conference - Proceedings
Volume2020-September
ISSN (Print)1097-5659

Conference

ConferenceIEEE Radar Conference
Period21/09/2024/09/20

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