Large Scale 3D Reconstruction

Work performed at the Australian Centre for Field Robotics

Robust, scalable Simultaneous Localization and Mapping (SLAM) algorithms support the successful deployment of robots in real-world applications. In many cases these platforms deliver vast amounts of sensor data from large scale, unstructured environments. This data may be difficult to interpret by end-users without further processing and suitable visualization tools. We present the results from robust, automated system for large-scale 3D reconstruction and visualization that takes stereo imagery from an Autonomous Underwater Vehicle (AUV) and SLAM-based vehicle poses to deliver detailed 3D models of the seafloor in the form of textured polygonal meshes.

Associated Publications: