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Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework Using Visual and Depth Cues

https://doi.org/10.1007/s10846-019-01136-5
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Outgoing claims: the papers this work cites, builds on, or argues with.

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The Hungarian method for the assignment problem
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LSD-SLAM: Large-Scale Direct Monocular SLAM
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Detection and Modelling of Staircases Using a Wearable Depth Sensor
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The Pascal Visual Object Classes (VOC) Challenge
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ImageNet Large Scale Visual Recognition Challenge
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Computer vision for assistive technologies
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Semantic line framework-based indoor building modeling using backpacked laser scanning point cloud
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The Cityscapes Dataset for Semantic Urban Scene Understanding
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VirtualWorlds as Proxy for Multi-object Tracking Analysis
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Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.261openalex-snapshot
ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
inferredcites →https://doi.org/10.1109/cvpr.2018.00744openalex-snapshot
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inferredcites →https://doi.org/10.1109/cvprw.2016.88openalex-snapshot
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Tracking the Untrackable: Learning to Track Multiple Cues with Long-Term Dependencies
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YOLACT: Real-Time Instance Segmentation
inferredcites →https://doi.org/10.1109/icra.2011.5980567openalex-snapshot
3D is here: Point Cloud Library (PCL)
inferredcites →https://doi.org/10.1109/icra.2012.6224637openalex-snapshot
Large-scale semantic mapping and reasoning with heterogeneous modalities
inferredcites →https://doi.org/10.1109/icra.2017.7989538openalex-snapshot
SemanticFusion: Dense 3D semantic mapping with convolutional neural networks
inferredcites →https://doi.org/10.1109/icra.2018.8460203openalex-snapshot
Pedestrian Prediction by Planning Using Deep Neural Networks
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489363openalex-snapshot
Mapping Road Lanes Using Laser Remission and Deep Neural Networks
inferredcites →https://doi.org/10.1109/itsc.2017.8317942openalex-snapshot
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inferredcites →https://doi.org/10.1109/lars/sbr/wre.2018.00018openalex-snapshot
Semantic Map Augmentation for Robot Navigation: A Learning Approach Based on Visual and Depth Data
inferredcites →https://doi.org/10.1109/lra.2019.2932874openalex-snapshot
Self-Supervised Drivable Area and Road Anomaly Segmentation Using RGB-D Data For Robotic Wheelchairs
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2016.2613051openalex-snapshot
Dense Semantic 3D Reconstruction
inferredcites →https://doi.org/10.1109/tro.2006.889486openalex-snapshot
Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters
inferredcites →https://doi.org/10.1109/tro.2013.2279412openalex-snapshot
3-D Mapping With an RGB-D Camera
inferredcites →https://doi.org/10.1109/tro.2015.2463671openalex-snapshot
ORB-SLAM: A Versatile and Accurate Monocular SLAM System
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The geometry of confocal curves for passing through a door
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.15607/rss.2015.xi.001openalex-snapshot
ElasticFusion: Dense SLAM Without A Pose Graph
inferredcites →https://doi.org/10.1609/aaai.v32i1.12331openalex-snapshot
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation
inferredcites →https://doi.org/10.3390/s19020391openalex-snapshot
Behavioral Pedestrian Tracking Using a Camera and LiDAR Sensors on a Moving Vehicle
inferredcites →https://doi.org/10.48550/arxiv.1605.06457openalex-snapshot
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
inferredcites →https://doi.org/10.48550/arxiv.1611.04144openalex-snapshot
Semi-Dense 3D Semantic Mapping from Monocular SLAM
inferredcites →https://doi.org/10.48550/arxiv.1702.01105openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.1911.05063openalex-snapshot
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Spatio-Temporal Object Persistence Modeling for Long-Term Mapping and Navigation Planning
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SQ-SLAM: Monocular Semantic SLAM Based on Superquadric Object Representation
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Perspective Chapter: Advanced Environment Modelling Techniques for Mobile Manipulators
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