CONCEPT ON LANDMARK DETECTION IN ROAD SCENE IMAGES TAKEN FROM A TOP-VIEW CAMERA SYSTEM
| Autor: | Uwe Stilla, Sven Kraus, Christian Rudolf Albrecht |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
lcsh:Applied optics. Photonics
050210 logistics & transportation Landmark lcsh:T Computer science business.industry 05 social sciences ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION lcsh:TA1501-1820 02 engineering and technology Sensor fusion lcsh:Technology lcsh:TA1-2040 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence lcsh:Engineering (General). Civil engineering (General) Qualitative observation business |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2020, Pp 205-209 (2020) |
| ISSN: | 2194-9034 |
| DOI: | 10.5194/isprs-archives-xliii-b1-2020-205-2020 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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