Local elevation mapping based on low mounted lidar sensors with narrow vertical field of view

Kai Stiens, Georg Tanzmeister, Dirk Wollherr

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Environment mapping is a key component of autonomous navigation. In order to distinguish low obstacles from uneven ground, the shape of the ground surface has to be represented and estimated within the environment model. Elevation mapping is a computationally efficient approach that represents ground heights as well as obstacle heights without classification in a single model. This paper presents a novel approach for lidar-based elevation mapping that does not only use reflection points but combines reflections and threedimensional ray geometry from different measurements directly in the height estimation process. Especially vehicles using low mounted lidar sensors with narrow vertical field of view benefit from an increased reliability and environment coverage. The approach is described from a theoretical concept to a scalable realization and first real test case results are shown.

Original languageEnglish
Title of host publication2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages616-621
Number of pages6
ISBN (Electronic)9781509018895
DOIs
StatePublished - 22 Dec 2016
Event19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016 - Rio de Janeiro, Brazil
Duration: 1 Nov 20164 Nov 2016

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conference

Conference19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016
Country/TerritoryBrazil
CityRio de Janeiro
Period1/11/164/11/16

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