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Integration of ontology reasoning-based monocular cues in deep learning modeling for single image depth estimation in urban driving scenarios.

, , , and . Knowl. Based Syst., (2023)

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Colorisation de nuages de points 3D par recalage dense d'images numériques., , and . Traitement du Signal, 31 (1-2): 81-106 (2014)Outdoor Scenes Pixel-wise Semantic Segmentation using Polarimetry and Fully Convolutional Network., , , , , and . VISIGRAPP (5: VISAPP), page 328-335. SciTePress, (2019)Direct 3D model-based tracking in omnidirectional images robust to large inter-frame motion., , , and . ICAR, page 505-510. IEEE, (2021)EPANer Team Description Paper for World Robot Challenge 2020., , and . CoRR, (2019)Visual Servoing With Photometric Gaussian Mixtures as Dense Features., , , and . IEEE Trans. Robotics, 35 (1): 49-63 (2019)Integration of ontology reasoning-based monocular cues in deep learning modeling for single image depth estimation in urban driving scenarios., , , and . Knowl. Based Syst., (2023)Subsequent Keyframe Generation for Visual Servoing., , , and . ICRA, page 14439-14445. IEEE, (2021)Depth Estimation Using Deep Learning Guided By Ontology Reasoning-Based Monocular Cues., , , and . IECON, page 1-6. IEEE, (2022)Reliable Planar Object Pose Estimation in Light Fields From Best Subaperture Camera Pairs., , , and . IEEE Robotics Autom. Lett., 3 (4): 3561-3568 (2018)Photometric Gaussian mixtures based visual servoing., , and . IROS, page 5486-5491. IEEE, (2015)