SCOPE

Interpreting and extracting useful information from urban environments are gaining widespread interest among researchers. Besides urban landscape analysis and realistic modeling for applications like Google earth, Street map viewer, considerable research is undertaken, interpreting urban scenes for perception tasks related to autonomous vehicle navigation, driving assistance, search and rescue operations, security analysis and scene understanding. However, analyzing urban environments from aerial, space-borne and ground-based sensors remains a huge challenge due to varying conditions, handling large datasets acquired by increasingly accurate sensors and the presence of numerous natural and man-made objects including vegetation, roads, cars, buildings but also pedestrians. Although highly specialized, this topic unites scientific communities (e.g. GIS, Computer Science, Computer Vision and Robotics) exploring theories and applications related to sensors and data acquisition techniques, feature extraction, segmentation and classification, pattern recognition and analysis, mapping and modeling, etc.



TOPICS OF INTEREST:

Relevant topics include, but are not limited to, the following:

• Perception in urban environment
• Scene understanding
• 2D, 3D Segmentation
• Classification
• Image sequence analysis
• Remote sensing
• Data interpretation and processing
• Mobile mapping
• 2D, 3D Cartography
• Construction from motion
• Object detection/recognition in urban environment
• Motion and tracking
• 3D Landscape and city Modeling
• Robotic vision in urban environment
• GIS and system management
• Multi sensorial data fusion
• LiDAR data processing
• Hand-held Cameras (Time-Of-Flight, RGB-D, etc.)
• Terrestrial, mobile and airborne LiDAR Systems

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