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

9 citations as recorded by crossref.

1. Efficient image-based indoor localization with MEMS aid on the mobile device M. Shu et al. 10.1016/j.isprsjprs.2022.01.010
2. A Novel Optimized Deep Learning Model for Canola Crop Yield Prediction on Edge Devices S. Valarezo-Plaza et al. 10.1109/TAFE.2024.3414953
3. Improving synthetic 3D model-aided indoor image localization via domain adaptation Q. Li et al. 10.1016/j.isprsjprs.2021.10.005
4. Convolutional Neural Networks for Geo-Localisation with a Single Aerial Image A. Cabrera-Ponce & J. Martinez-Carranza 10.1007/s11554-022-01207-1
5. A Review of Navigation Algorithms for Unmanned Aerial Vehicles Based on Computer Vision Systems B. Ali et al. 10.1134/S2075108722040022
6. Structure-guided camera localization for indoor environments Q. Li et al. 10.1016/j.isprsjprs.2023.05.034
7. UAS Navigation with SqueezePoseNet—Accuracy Boosting for Pose Regression by Data Augmentation M. Mueller & B. Jutzi 10.3390/drones2010007
8. BIM-PoseNet: Indoor camera localisation using a 3D indoor model and deep learning from synthetic images D. Acharya et al. 10.1016/j.isprsjprs.2019.02.020
9. 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. 10.1016/j.isprsjprs.2022.10.015