Thanks to the advent of technologies like Cloud Computing, the idea of
computation offloading of robotic tasks is more than feasible. Therefore, it is possible
to use legacy embedded systems for computationally heavy tasks like navigation
or artificial vision, hence extending its lifespan. In this chapter we apply Cloud
Computing for building a Cloud-Based 3D Point Cloud extractor for stereo images.
The objective is to have a dynamically scalable solution (one of Cloud Computing’s
most important features) and applicable to near real-time scenarios. This last feature
brings several challenges that must be addressed: meeting of deadlines, stability,
limitation of communication technologies. All those elements will be thoroughly
analyzed in this chapter, providing experimental results that prove the efficacy of the
solution. At the end of the chapter, a successful use case of the platform is explained:
navigation assistance.Ministerio de Economía y Competitividad TEC2012-37868-C04-02/01 (BIOSENSE)Junta de Andalucía P12-TIC-1300 (MINERVA
