Concept on landmark detection in road scene images taken from a top-view camera system

C. Albrecht, S. Kraus, U. Stilla

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, we demonstrate the inclusion of a top-view camera system mounted on a city bus in an existing sensor setup. A novel sensor setup with five down-facing cameras is mounted on the roof of a MAN Lion's City 12 city bus to extract landmarks in road scene images. Its positioning is validated by an exemplary detection of lane markings. The concept for further landmark detection with the help of the presented camera system is explained in this paper and sensor data fusion methods are proposed. Based on our previous findings (Albrecht et al., 2019), strengths of the novel sensor system are introduced to improve the current environment perception system. For now, only a qualitative observation of the capability to detect lane markings and other landmarks can be presented. Future work will use the current findings for landmark detection for a vehicle self-localization system.

Original languageEnglish
Pages (from-to)205-209
Number of pages5
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume43
Issue numberB1
DOIs
StatePublished - 6 Aug 2020
Event2020 24th ISPRS Congress - Technical Commission I - Nice, Virtual, France
Duration: 31 Aug 20202 Sep 2020

Keywords

  • Automated Driving
  • Computer Vision
  • Semantic Segmentation
  • Top-View System

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