1 code implementation • 17 Jun 2019 • Ayush Dewan, Wolfram Burgard
To make the predictions from the DCNN temporally consistent, we propose a Bayes filter based method.
no code implementations • 20 Sep 2018 • Ayush Dewan, Tim Caselitz, Wolfram Burgard
Our proposed architecture consists of a Siamese network for learning a feature descriptor and a metric learning network for matching the descriptors.
no code implementations • 26 Jun 2017 • Ayush Dewan, Gabriel L. Oliveira, Wolfram Burgard
To learn the distinction between movable and non-movable points in the environment, we introduce an approach based on deep neural network and for detecting the dynamic points, we estimate pointwise motion.