Although Point Clouds Registration is a very well studied problem, with many different solutions, most of the approaches in the literature aims at aligning two dense point clouds. Instead, we tackle the problem of aligning a dense point cloud with a sparse one: a problem that has to be solved, for example, to merge maps produced by different sensors, such as a vision-based sensor and laser scanner or two different laser-based sensors. The most used approach to point clouds registration, Iterative Closest Point (ICP), is also applicable to this sub-problem. We propose an improvement over the standard ICP data association policy and we called it Probabilistic Data Association. It was derived applying statistical inference techniques on a fully probabilistic model. In our proposal, each point in the source point cloud is associated with a set of points in the target point cloud; each association is then weighted so that the weights form a probability distribution. The result is an algorithm similar to ICP but more robust w.r.t. noise and outliers. While we designed our approach to deal with the problem of dense-sparse registration, it can be successfully applied also to standard point clouds registration.
Agamennoni, G., Fontana, S., Siegwart, R., & Sorrenti, D. (2016). Point Clouds Registration with Probabilistic Data Association. In IEEE International Conference on Intelligent Robots and Systems (pp.4092-4098). Institute of Electrical and Electronics Engineers Inc. [10.1109/IROS.2016.7759602].
|Citazione:||Agamennoni, G., Fontana, S., Siegwart, R., & Sorrenti, D. (2016). Point Clouds Registration with Probabilistic Data Association. In IEEE International Conference on Intelligent Robots and Systems (pp.4092-4098). Institute of Electrical and Electronics Engineers Inc. [10.1109/IROS.2016.7759602].|
|Carattere della pubblicazione:||Scientifica|
|Presenza di un coautore afferente ad Istituzioni straniere:||Si|
|Titolo:||Point Clouds Registration with Probabilistic Data Association|
|Autori:||Agamennoni, G; Fontana, S; Siegwart, R; Sorrenti, D|
FONTANA, SIMONE (Primo)
SORRENTI, DOMENICO GIORGIO (Ultimo)
|Data di pubblicazione:||2016|
|Nome del convegno:||IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS October 9-14|
|Serie:||PROCEEDINGS OF THE ... IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/IROS.2016.7759602|
|Appare nelle tipologie:||02 - Intervento a convegno|