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Probabilistic Global Scale Estimation for MonoSLAM Based on Generic Object Detection.

, and . CVPR Workshops, page 988-996. IEEE Computer Society, (2017)

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Incremental Abstraction in Distributed Probabilistic SLAM Graphs., , , and . ICRA, page 7566-7572. IEEE, (2022)iMODE:Real-Time Incremental Monocular Dense Mapping Using Neural Field., , , , , and . ICRA, page 4171-4177. IEEE, (2023)iSDF: Real-Time Neural Signed Distance Fields for Robot Perception., , , , , , and . Robotics: Science and Systems, (2022)Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding., , and . ICRA, page 8201-8207. IEEE, (2023)Bayesian Scale Estimation for Monocular SLAM Based on Generic Object Detection for Correcting Scale Drift., and . CoRR, (2017)Bayesian Scale Estimation for Monocular SLAM Based on Generic Object Detection for Correcting Scale Drift., and . ICRA, page 1-7. IEEE, (2018)iLabel: Revealing Objects in Neural Fields., , , , , and . IEEE Robotics Autom. Lett., 8 (2): 832-839 (2023)NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction., , and . 3DV, page 949-958. IEEE, (2020)Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter., , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 118-127. PMLR, (2022)Probabilistic Global Scale Estimation for MonoSLAM Based on Generic Object Detection., and . CVPR Workshops, page 988-996. IEEE Computer Society, (2017)