Correcting GNSS NLOS by 3D LIDAR and building height

Weisong Wen, Guohao Zhang, Li Ta Hsu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

10 Citations (Scopus)

Abstract

Occurrence of autonomous driving introduces high requirement in GNSS positioning performance. GNSS is currently the only source providing absolute positioning information. It is indispensable for initial position estimation for the high definition map-based localization solution in autonomous driving. Satisfactory positioning accuracy can be obtained in open space or sub-urban areas. However, its performance is heavily challenged in super-urbanized scenarios with the positioning error going up to even 100 meters, due to the well-known NLOS receptions which dominates the GNSS positioning errors. The recent state-of-art range-based 3D map aided GNSS (3DMA GNSS) can mitigate most of the NLOS receptions. However, ray-tracing simulation is time-consuming. Therefore, we present a novel method to detect the NLOS caused by surrounding buildings and correct the pseudorange measurements using 3D point clouds and building height without ray-tracing simulation. To estimate the geometry and pose of the building relative to GNSS receiver, a surface segmentation method is employed to detect the surrounding building walls. NLOS errors are estimated by integrating the geometry, pose relative to the GNSS receiver and satellites information. Finally, position estimation of GNSS receiver is implemented by weighted least square (WLS) based on the corrected and healthy pseudorange measurements. Dynamic experiment is conducted to evaluate the errors caused by the NLOS receptions and to verify the effectiveness of the proposed method in a deep urbanized area, Hong Kong.

Original languageEnglish
Title of host publicationProceedings of the 31st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2018
PublisherInstitute of Navigation
Pages3156-3168
Number of pages13
ISBN (Electronic)0936406100, 9780936406107
Publication statusPublished - 1 Jan 2018
Event31st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2018 - Miami, United States
Duration: 24 Sep 201828 Sep 2018

Publication series

NameProceedings of the 31st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2018

Conference

Conference31st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2018
Country/TerritoryUnited States
CityMiami
Period24/09/1828/09/18

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Electrical and Electronic Engineering

Cite this