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This work addresses a gap in semantic scene completion (SSC) data by creating a novel outdoor data set with accurate and complete dynamic scenes.
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S. Song, F. Yu, A. Zeng, A. X. Chang, M. Savva, and T. Funkhouser, “Semantic Scene Completion from a Single Depth Image,” in
2017
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2017
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L. Sun, Z. Yan, A. Zaganidis, C. Zhao, and T. Duckett, “Recurrent-OctoMap: Learning State-Based Map Refinement for Long-Term Semantic Mapping with 3-D-Lidar Data,”
2018
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D. Nuss, S. Reuter, M. Thom, T. Yuan, G. Krehl, M. Maile, A. Gern, and K. Dietmayer, “A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application,”
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Y. Zhou and O. Tuzel, “VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection,” in
2018
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B. Wu, A. Wan, X. Yue, and K. Keutzer, “SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud,” in
2018
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Y. Yan, Y. Mao, and B. Li, “Second: Sparsely Embedded Convolutional Detection,”
2018
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C. Zhao, L. Sun, P. Purkait, T. Duckett, and R. Stolkin, “Dense RGB-D Semantic Mapping with Pixel-Voxel Neural Network,”
2018
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B. Graham, M. Engelcke, and L. van der Maaten, “3D Semantic Segmentation with Submanifold Sparse Convolutional Networks,” in
2018
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J. Zhang, H. Zhao, A. Yao, Y. Chen, L. Zhang, and H. Liao, “Efficient Semantic Scene Completion Network with Spatial Group Convolution,” in
2018
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L. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille, “DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs,”
2018
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L. Roldao, R. De Charette, and A. Verroust-Blondet, “LMSCNet: Lightweight Multiscale 3D Semantic Completion,”
2020
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Y. Pan, B. Gao, J. Mei, S. Geng, C. Li, and H. Zhao, “SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances,”
2020
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M. Zhong and G. Zeng, “Semantic Point Completion Network for 3D Semantic Scene Completion,”
2020
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R. Cheng, C. Agia, Y. Ren, X. Li, and L. Bingbing, “S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds,” in
2020
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L. Wang and Y. Huang, “A Survey of 3D Point Cloud and Deep Learning-Based Approaches for Scene Understanding in Autonomous Driving,”
2021
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S. Liu, Y. Hu, Y. Zeng, Q. Tang, B. Jin, Y. Han, and X. Li, “See and Think: Disentangling Semantic Scene Completion,” in
2018
Cited alongside, same era.
J. Behley, M. Garbade, A. Milioto, J. Quenzel, S. Behnke, C. Stachniss, and J. Gall, “SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences,” in
2019
Cited alongside, same era.
H. L. Chiang, A. Faust, M. Fiser, and A. Francis, “Learning Navigation Behaviors End-to-End With AutoRL,”
2019
Cited alongside, same era.
A. Milioto, I. Vizzo, J. Behley, and C. Stachniss, “RangeNet++: Fast and accurate LiDAR semantic segmentation,” in
2019
Cited alongside, same era.
A. H. Lang, S. Vora, H. Caesar, L. Zhou, J. Yang, and O. Beijbom, “PointPillars: Fast Encoders for Object Detection From Point Clouds,” in
2019
Cited alongside, same era.
C. Choy, J. Gwak, and S. Savarese, “4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks,” in
2019
Cited alongside, same era.
D. Griffiths and J. Boehm, “SynthCity: A Large Scale Synthetic Point Cloud,”
2019
Cited alongside, same era.
S. Casas, A. Sadat, and R. Urtasun, “MP3: A Unified Model to Map, Perceive, Predict and Plan,” in
2021
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Y. Min, D.-U. Kim, and H.-L. Choi, “Kernel-Based 3-D Dynamic Occupancy Mapping with Particle Tracking,” in
2021
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2021
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E. Amirloo, M. Rohani, E. Banijamali, J. Luo, and P. Poupart, “Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map,” in
2021
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L. Roldao, R. de Charette, and A. Verroust-Blondet, “3D Semantic Scene Completion: a Survey,”
2021
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H. Lim, S. Hwang, and H. Myung, “ERASOR: Egocentric Ratio of Pseudo Occupancy-Based Dynamic Object Removal for Static 3D Point Cloud Map Building,”
2021
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J. E. Deschaud, D. Duque, J. P. Richa, S. Velasco-Forero, B. Marcotegui, and F. Goulette, “Paris-CARLA-3D: a Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping,”
2021
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X. Yan, J. Gao, J. Li, R. Zhang, Z. Li, R. Huang, and S. Cui, “Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion,” in
2021
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Y. Cai, X. Chen, C. Zhang, K. Lin, X. Wang, and H. Li, “Semantic Scene Completion via Integrating Instances and Scene in-the-Loop,” in
2021
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C. Rist, D. Emmerichs, M. Enzweiler, and D. Gavrila, “Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data,”
2021
Later among the works it cites.