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Building semantic 3D maps is valuable for searching for objects of interest in offices, warehouses, stores, and homes.
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“Concurrent object identification and localization for a mobile robot”
Hans. Kestler et al · 2000
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“Topological simultaneous localization and mapping (SLAM): toward exact localization without explicit localization”
Howie Choset and Keiji Nagatani · 2001
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“Feature-based robot navigation in known and unknown environments”
Kai Arras · 2003
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“Topological SLAM: Simultaneous Localization and Mapping with Fingerprints of Places”
Adriana Tapus · 2005
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“3D semantic scene completion: A survey”
Luis Roldao, Raoul De and Anne Verroust-Blondet · 2005
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“Towards semantic maps for mobile robots”
Andreas Nüchter and Joachim Hertzberg · 2008
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“A flexible and scalable SLAM system with full 3D motion estimation”
Stefan Kohlbrecher, Oskar Von, Johannes Meyer and Uwe Klingauf · 2011
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“Building rome in a day”
Sameer Agarwal et al · 2011
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“Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction”
Vibhav Vineet et al · 2015
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“Real-time loop closure in 2D LIDAR SLAM”
Wolfgang Hess, Damon Kohler, Holger Rapp and Daniel Andor · 2016
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“ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes”
Angela Dai et al · 2017
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“Mobile robot navigation and obstacle avoidance techniques: A review”
Anish Pandey, Shalini Pandey and DR Parhi · 2017
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“Efficient long-term mapping in dynamic environments”
María Lázaro, Roberto Capobianco and Giorgio Grisetti · 2018
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“Frontier based exploration for autonomous robot”
Anirudh Topiwala, Pranav Inani and Abhishek Kathpal · 2018
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“A simultaneous localization and mapping (SLAM) framework for 2.5 D map building based on low-cost LiDAR and vision fusion”
Guolai Jiang et al · 2019
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“BAD SLAM: Bundle Adjusted Direct RGB-D SLAM”
Thomas Schöps, Torsten Sattler and Marc Pollefeys · 2019
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“Nerf: Representing scenes as neural radiance fields for view synthesis”
Ben Mildenhall et al · 2021
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“The simultaneous localization and mapping (SLAM)-An overview”
Bashar Alsadik and Samer Karam · 2021
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“Review on LiDAR-based SLAM techniques”
Leyao Huang · 2021
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“Learning 3D semantic segmentation with only 2D image supervision”
Kyle Genova et al · 2021
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“Learning transferable visual models from natural language supervision”
Alec Radford et al · 2021
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“DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras”
Zachary Teed and Jia Deng · 2021
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“Decomposing nerf for editing via feature field distillation”
Sosuke Kobayashi, Eiichi Matsumoto and Vincent Sitzmann · 2022
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“Neural feature fusion fields: 3d distillation of self-supervised 2d image representations”
Vadim Tschernezki, Iro Laina, Diane Larlus and Andrea Vedaldi · 2022
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“F2-nerf: Fast neural radiance field training with free camera trajectories”
Peng Wang et al · 2023
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“OpenScene: 3D Scene Understanding with Open Vocabularies”
Songyou Peng et al · 2023
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“Demonstrating mobile manipulation in the wild: A metrics-driven approach”
Max Bajracharya et al · 2023
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“3D Gaussian Splatting for Real-Time Radiance Field Rendering”
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler and George Drettakis · 2023
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“Nerf-slam: Real-time dense monocular slam with neural radiance fields”
Antoni Rosinol, John Leonard and Luca Carlone · 2023
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“Do as i can, not as i say: Grounding language in robotic affordances”
Anthony Brohan et al · 2023
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Matthew Tancik et al · 2022
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Thomas Müller, Alex Evans, Christoph Schied and Alexander Keller · 2022
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Zihan Zhu et al · 2022
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“Rt-1: Robotics transformer for real-world control at scale”
Anthony Brohan et al · 2022
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Krishna Shankar et al · 2022
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“Lerf: Language embedded radiance fields”
Justin Kerr et al · 2023
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“Rt-2: Vision-language-action models transfer web knowledge to robotic control”
Brianna Zitkovich et al · 2023
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Krishna Jatavallabhula et al · 2023
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“ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning”
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“VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models”
Wenlong Huang et al · 2023
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“Splatam: Splat, track & map 3d gaussians for dense rgb-d slam”
Nikhil Keetha et al · 2023
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“ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes”
Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner and Angela Dai · 2023
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“Nerfstudio: A modular framework for neural radiance field development”
Matthew Tancik et al · 2023
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“Language embedded 3d gaussians for open-vocabulary scene understanding”
Jin-Chuan Shi, Miao Wang, Hao-Bin Duan and Shao-Hua Guan · 2023
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“FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding”
Xingxing Zuo et al · 2024
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“LangSplat: 3D Language Gaussian Splatting”
Minghan Qin et al · 2024
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