#6 Georeferencing of multi-camera mobile mapping platforms

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#6 Georeferencing of multi-camera mobile mapping platforms

This tutorial aims at familiarizing the audience with processing of large im-
age sets acquired by multi-head mobile mapping platforms, e.g. Stereopolis [1]

(cf. Figure 1). We will focus on fine-tuned processing with the goal of obtaining
high-precision image georeferencing. The following aspects will be considered:
– time-efficient computation of the initial solution,
– the influence of the multi-camera relative orientation constraint embedded
in the final bundle block adjustment (BBA),
– insight into the BBA a posteriori stochastic model.
All the processing will take place in MicMac the free open-source software
for photogrammetry [2].

Distributed resources:

We will provide the participants with a dataset as well as a document sum-
marizing the processing steps. The software is distributed via github repo:

https://github.com/micmacIGN/micmac.
Prerequisites
The tutorial is targeted for both practitioners and researchers interested in the
topic. The participants are expected to be familiar with:
– basic concepts of photogrammetry
– Linux environment or at least the command line
Number of participants
A maximum of 20 participants is expected to attend the tutorial.

References
[1] Nicolas Paparoditis, Jean-Pierre Papelard, Bertrand Cannelle, Alexandre
Devaux, Bahman Soheilian, Nicolas David, and Erwann Houzay. Stereopolis
ii: A multi-purpose and multi-sensor 3d mobile mapping system for street
visualisation and 3d metrology. Revue fran ̧caise de photogramm ́etrie et de
t ́el ́ed ́etection, 200(1):69–79, 2012.

[2] E. Rupnik, M. Daakir, and M. Pierrot Deseilligny. Micmac – a free, open-
source solution for photogrammetry. Open Geospatial Data, Software and

Standards, 2(14):1–9, 2017.