Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference

6 August 2021

Papers citing "Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference"

6 / 6 papers shown

Title
ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty Joey Wilson Yuewei Fu Joshua Friesen Parker Ewen Andrew Capodieci P. Jayakumar Kira Barton Maani Ghaffari 24 9 0 24 Oct 2023
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments Joey Wilson Jingyu Song Yuewei Fu Arthur Zhang Andrew Capodieci P. Jayakumar Kira Barton Maani Ghaffari 3DPC 22 39 0 14 Mar 2022
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 26 15 0 28 Jun 2021
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport Gilles Puy Alexandre Boulch Renaud Marlet 3DPC OT 121 183 0 22 Jul 2020
DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes Berta Bescós José M. Fácil Javier Civera José Neira 56 846 0 14 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016