Outdoor navigation for visually impaired based on Deep learning

In this paper, we propose an adaptive channel estimation based on deep learning that assumes the signal-to-noise power ratio (SNR) knowledge at the receiver, and we show that

Pour le comprendre, il nous faut d’abord évoquer les finesses sémantiques de ce domaine, depuis l’intelligence artificielle vers l’apprentissage automatique * (machine learning)

Real Time Object Detection, Tracking, and Distance and Motion Estimation based on Deep Learning:.. Application to

In order to identify the most suitable approach to our object and/or pedestrian detection application for the autonomous vehicle (a drone in this study), we need to establish the

We decided to evaluate the performance of object classi- fication on LiDAR urban data with the use of the PointNet network. We then assume that each 3D points cloud contains one

● [ 5] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

[1] Sebastien Villon, Marc Chaumont, Gerard Subsol, Sebastien Villeger, Thomas Claverie, David Mouillot, "Coral reef fish detection and recognition in underwater videos

In the test phase, for each image, we extract the patches without overlapping (stride equals to 0, we obtain the density map of the patch resulting from the application of our