RecNet: An Invertible Point Cloud Encoding through Range Image Embeddings for Multi-Robot Map Sharing and Reconstruction
Nikolaos Stathoulopoulos,Mario A.V. Saucedo,Anton Koval,George Nikolakopoulos,Nikolaos Stathoulopoulos,Mario A.V. Saucedo,Anton Koval,George Nikolakopoulos
In the field of resource-constrained robots and the need for effective place recognition in multi-robotic systems, this article introduces RecNet, a novel approach that concurrently addresses both challenges. The core of RecNet’s methodology involves a transformative process: it projects 3D point clouds into range images, compresses them using an encoder-decoder framework, and subsequently reconst...
