SQUEEZEPOSENET: IMAGE BASED POSE REGRESSION WITH SMALL CONVOLUTIONAL NEURAL NETWORKS FOR REAL TIME UAS NAVIGATION

10 citations as recorded by crossref.

1. Efficient image-based indoor localization with MEMS aid on the mobile device M. Shu et al.
2. A Novel Optimized Deep Learning Model for Canola Crop Yield Prediction on Edge Devices S. Valarezo-Plaza et al.
3. Improving synthetic 3D model-aided indoor image localization via domain adaptation Q. Li et al.
4. Convolutional Neural Networks for Geo-Localisation with a Single Aerial Image A. Cabrera-Ponce & J. Martinez-Carranza
5. A Review of Navigation Algorithms for Unmanned Aerial Vehicles Based on Computer Vision Systems B. Ali et al.
6. Semantic-Enhanced Scene Coordinate Regression Network for Visual Localization W. Ma et al.
7. Structure-guided camera localization for indoor environments Q. Li et al.
8. UAS Navigation with SqueezePoseNet—Accuracy Boosting for Pose Regression by Data Augmentation M. Mueller & B. Jutzi
9. BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images D. Acharya et al.
10. Learn then match: A fast coarse-to-fine depth image-based indoor localization framework for dark environments via deep learning and keypoint-based geometry alignment Q. Li et al.