arXiv · 1808.05336
Simultaneous Localization And Mapping with depth Prediction using Capsule Networks for UAVs
Abstract
In this paper, we propose an novel implementation of a simultaneous localization and mapping (SLAM) system based on a monocular camera from an unmanned aerial vehicle (UAV) using Depth prediction performed with Capsule Networks (CapsNet), which possess improvements over the drawbacks of the more widely-used Convolutional Neural Networks (CNN). An Extended Kalman Filter will assist in estimating the position of the UAV so that we are able to update the belief for the environment. Results will be evaluated on a benchmark dataset to portray the accuracy of our intended approach.
Explore related subjects
Keep this discovery
Sunil Prakash, Gaelan Gu. 2018-08-16. Simultaneous Localization And Mapping with depth Prediction using Capsule Networks for UAVs. https://arxiv.org/abs/1808.05336
Cite the original work for its findings. Save a collection to share your selection of sources.