3D Mapping with Semantic Knowledge

Abstract. A basic task of rescue robot systems is mapping of the environment. Localizing injured persons, guiding rescue workers and excavation equipment requires a precise 3D map of the environment. This paper presents a new 3D laser range finder and novel scan matching method for the robot Kurt3D [9]. Compared to previous machinery [12], the apex angle is enlarged to 360◦ . The matching is based on semantic information. Surface attributes are extracted and incorporated in a forest of search trees in order to associate the data, i.e., to establish correspondences. The new approach results in advances in speed and reliability.

• Type: Conference
• Year: 2005
• Where: ROBOCUP
• Authors: Andreas Nüchter, Oliver Wulf, Kai Lingemann, Joachim Hertzberg, Bernardo Wagner, Hartmut Surmann
• Keywords: Precise 3D Map, Rescue Robot Systems, ROBOCUP 2005, Scan Matching Method