DynamicFilter: an Online Dynamic Objects Removal Framework for Highly
Dynamic Environments

DynamicFilter: an Online Dynamic Objects Removal Framework for Highly Dynamic Environments

30 June 2022

Tingxiang Fan

ArXiv (abs)PDF HTML

Papers citing "DynamicFilter: an Online Dynamic Objects Removal Framework for Highly Dynamic Environments"

6 / 6 papers shown

Title
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data Xieyuanli Chen Shijie Li Benedikt Mersch Louis Wiesmann Jurgen Gall Jens Behley C. Stachniss 3DPC 77 185 0 19 May 2021
Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data Patrick Pfreundschuh Hubertus Franciscus Cornelis Hendrikx Victor Reijgwart Renaud Dubé Roland Siegwart Andrei Cramariuc 65 79 0 08 Apr 2021
ERASOR: Egocentric Ratio of Pseudo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Building Hyungtae Lim Sungwon Hwang Hyun Myung 3DPC 79 162 0 07 Mar 2021
FAST-LIO: A Fast, Robust LiDAR-inertial Odometry Package by Tightly-Coupled Iterated Kalman Filter Wenyuan Xu Fu Zhang 112 630 0 16 Oct 2020
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping Tixiao Shan Brendan Englot Drew Meyers Wei Wang C. Ratti Daniela Rus 68 1,340 0 01 Jul 2020
Mapless Online Detection of Dynamic Objects in 3D Lidar David J. Yoon T. Y. Tang Timothy D. Barfoot 3DPC 56 93 0 19 Sep 2018