TY - JOUR
T1 - Concept on landmark detection in road scene images taken from a top-view camera system
AU - Albrecht, C.
AU - Kraus, S.
AU - Stilla, U.
N1 - Publisher Copyright:
© 2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.
PY - 2020/8/6
Y1 - 2020/8/6
N2 - 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.
AB - 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.
KW - Automated Driving
KW - Computer Vision
KW - Semantic Segmentation
KW - Top-View System
UR - http://www.scopus.com/inward/record.url?scp=85091155150&partnerID=8YFLogxK
U2 - 10.5194/isprs-archives-XLIII-B1-2020-205-2020
DO - 10.5194/isprs-archives-XLIII-B1-2020-205-2020
M3 - Conference article
AN - SCOPUS:85091155150
SN - 1682-1750
VL - 43
SP - 205
EP - 209
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
IS - B1
T2 - 2020 24th ISPRS Congress - Technical Commission I
Y2 - 31 August 2020 through 2 September 2020
ER -