From Pixels to Buildings: End-to-end Probabilistic Deep Networks for Large-scale Semantic Mapping

31 December 2018

Papers citing "From Pixels to Buildings: End-to-end Probabilistic Deep Networks for Large-scale Semantic Mapping"

9 / 9 papers shown

Title
Mobi- $π$ : Mobilizing Your Robot Learning Policy Jingyun Yang Isabella Huang Brandon Vu Max Bajracharya Rika Antonova Jeannette Bohg 37 0 0 29 May 2025
CoFi: Coarse-to-Fine ICP for LiDAR Localization in an Efficient Long-lasting Point Cloud Map Yecheng Lyu Xinming Huang Ziming Zhang 83 1 0 19 Oct 2021
Towards Optimal Correlational Object Search Kaiyu Zheng Rohan Chitnis Yoonchang Sung George Konidaris Stefanie Tellex 67 22 0 19 Oct 2021
Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference Lu Gan Youngji Kim J. Grizzle Jeffrey M. Walls Ayoung Kim Ryan Eustice Maani Ghaffari 109 15 0 28 Jun 2021
Optimizing Consensus-based Multi-target Tracking with Multiagent Rollout Control Policies Tianqi Li Lucas W. Krakow Swaminathan Gopalswamy 127 9 0 04 Feb 2021
Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs Antoni Rosinol Andrew Violette Marcus Abate Nathan Hughes Yun Chang Jingang Shi Arjun Gupta Luca Carlone 3DV 131 238 0 18 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 180 117 0 02 Jan 2021
Sum-product networks: A survey I. París Raquel Sánchez-Cauce F. Díez TPM 40 42 0 02 Apr 2020
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans Antoni Rosinol Arjun Gupta Marcus Abate Jingang Shi Luca Carlone 94 196 0 15 Feb 2020