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Needless to say, much work remains to be done. Future work will
concentrate on four major aspects:
The final goal of object detection and localization is to develop
unrestricted, automatic and highly reliable algorithms that
could be used in scenarios like RoboCup Rescue.
- Improve the computational performance of the system to improve
- Generate high level descriptions and semantic maps including the
3D information, e.g., in XML format. The semantic maps will
contain spatial 3D data with descriptions and labels.
- Integrate a camera and enhance the semantic interpretation by
fusing color images with range data. The aperture angle of the
camera will be enlarged using a pan and tilt unit to acquire
color information for all measured range points.
- Enlarge the database with more objects of an indoor and outdoor
environment and build an explicit knowledge base, i.e.,
specifying a semantic net containing general object relations as
well as links to the object database .