Data fusion of lidar and thermal camera for autonomous driving

Shoaib Azam, Farzeen Munir, Ahmad Muqeem Sheri, Yeong Min Ko, Ishfaq Hussain, Moongu Jeon

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

9 Scopus citations

Abstract

The adverse environmental conditions build a bottleneck for the autonomous driving. This challenge is resolved by data fusion of sensor modalities. Here, thermal and Lidar data are fused together for the precise perception of environment.

Original languageEnglish
Title of host publicationApplied Industrial Optics
Subtitle of host publicationSpectroscopy, Imaging and Metrology, AIO 2019
PublisherOptica Publishing Group (formerly OSA)
ISBN (Print)9781943580651
DOIs
StatePublished - 2019
EventApplied Industrial Optics: Spectroscopy, Imaging and Metrology, AIO 2019 - Washington, United States
Duration: 8 Jul 201910 Jul 2019

Publication series

NameOptics InfoBase Conference Papers
VolumePart F167-AIO 2019
ISSN (Electronic)2162-2701

Conference

ConferenceApplied Industrial Optics: Spectroscopy, Imaging and Metrology, AIO 2019
Country/TerritoryUnited States
CityWashington
Period8/07/1910/07/19

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