Projects per year
We extend the concept of intrinsic localization from a theoretical one-dimensional (1D) solution onto a 2D manifold that is embedded in a 3D space, and then recover the full six degrees of freedom for a mobile laser scanner with a simultaneous localization and mapping algorithm (SLAM). By intrinsic localization, we mean that no reference coordinate system, such as global navigation satellite system (GNSS), nor inertial measurement unit (IMU) are used. Experiments are conducted with a 2D laser scanner mounted on a rolling prototype platform, VILMA. The concept offers potential in being extendable to other wheeled platforms.
|Number of pages||12|
|Journal||ISPRS Journal of Photogrammetry and Remote Sensing|
|Publication status||Published - 1 Nov 2016|
|MoE publication type||A1 Journal article-refereed|
- 3D reconstruction
COMBAT: Competence-Based Growth Through Integrated Disruptive Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing - Point Cloud Ecosystem
Gullmets, H., Nieminen, J., Ahlavuo, M., Vaaja, M. T., Laitala, A., Julin, A., Hyyppä, H., Maksimainen, M., Ståhle, P., Jaalama, K., Virtanen, J., Luhtala, L., Haggren, H., Lehtola, V., Rantanen, T., Ingman, M. & Kauhanen, H.
01/05/2015 → 31/01/2018
Project: Academy of Finland: Strategic research funding