Reducing Drift in Visual Odometry by Inferring Sun Direction Using a Bayesian Convolutional Neural Network

20 September 2016

Papers citing "Reducing Drift in Visual Odometry by Inferring Sun Direction Using a Bayesian Convolutional Neural Network"

10 / 10 papers shown

Title
Bi-Level Image-Guided Ergodic Exploration with Applications to Planetary Rovers Elena Wittemyer Ian Abraham 27 2 0 31 Jul 2023
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks Hassan Wagih Mostafa Osman M. Awad S. Hammad 11 0 0 02 Jul 2022
ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian Meta-Learning Algorithms Yilun Wu UQCV BDL 15 2 0 15 Oct 2020
Self-Supervised Deep Pose Corrections for Robust Visual Odometry Brandon Wagstaff Valentin Peretroukhin Jonathan Kelly SSL 27 25 0 27 Feb 2020
Shadow Transfer: Single Image Relighting For Urban Road Scenes Alexandra Carlson Ram Vasudevan Matthew Johnson-Roberson 22 9 0 23 Sep 2019
Learning a Bias Correction for Lidar-only Motion Estimation T. Y. Tang David J. Yoon F. Pomerleau T. Barfoot 14 29 0 15 Jan 2018
DPC-Net: Deep Pose Correction for Visual Localization Valentin Peretroukhin Jonathan Kelly 38 49 0 10 Sep 2017
How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination Change Lee Clement Jonathan Kelly 20 25 0 09 Sep 2017
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 213 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015