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Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion.

, , , , , , , , and . IROS, page 1045-1052. IEEE, (2018)

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Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion., , , , , , , , and . IROS, page 1045-1052. IEEE, (2018)DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion., , , , , and . ITSC, page 13-20. IEEE, (2019)Monocular Camera Based Fruit Counting and Mapping with Semantic Data Association., , , , , , , and . CoRR, (2018)DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance., , , , , , and . CoRR, (2019)Large-Scale Autonomous Flight With Real-Time Semantic SLAM Under Dense Forest Canopy., , , , , , , , , and 1 other author(s). IEEE Robotics Autom. Lett., 7 (2): 5512-5519 (2022)Approximating Explicit Model Predictive Control Using Constrained Neural Networks., , , , , , and . ACC, page 1520-1527. IEEE, (2018)Neural Network Memory Architectures for Autonomous Robot Navigation., , , , , and . CoRR, (2017)Decentralization of Multiagent Policies by Learning What to Communicate., , , and . ICRA, page 7990-7996. IEEE, (2019)Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model., , , , and . CoRR, (2017)Counting Apples and Oranges With Deep Learning: A Data-Driven Approach., , , , , , , and . IEEE Robotics Autom. Lett., 2 (2): 781-788 (2017)