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SLIM: Scalable and Lightweight LiDAR Mapping in Urban Environments
IEEE Transactions on robotics (IEEE Trans. Robot.), 2024
13 September 2024
Zehuan Yu
Zhijian Qiao
Wenyi Liu
Huan Yin
Shaojie Shen
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Papers citing
"SLIM: Scalable and Lightweight LiDAR Mapping in Urban Environments"
7 / 57 papers shown
Visual-Inertial Mapping with Non-Linear Factor Recovery
V. Usenko
Nikolaus Demmel
David Schubert
J. Stückler
Zorah Lähner
228
217
0
13 Apr 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
853
4,213
0
16 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
3DV
544
3,202
0
10 Dec 2018
maplab: An Open Framework for Research in Visual-inertial Mapping and Localization
T. Schneider
Marcin Dymczyk
M. Fehr
Kevin Egger
Simon Lynen
Igor Gilitschenski
Roland Siegwart
136
270
0
28 Nov 2017
Robust and Precise Vehicle Localization based on Multi-sensor Fusion in Diverse City Scenes
Guowei Wan
Xiaolong Yang
Renlan Cai
Hao Li
Hongya Wang
Shiyu Song
123
302
0
15 Nov 2017
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age
Cesar Cadena
Luca Carlone
Henry Carrillo
Yasir Latif
Davide Scaramuzza
José Neira
Ian Reid
J. Leonard
670
3,170
0
19 Jun 2016
Parallel Maximum Clique Algorithms with Applications to Network Analysis and Storage
SIAM Journal on Scientific Computing (SISC), 2013
Ryan A. Rossi
D. Gleich
A. Gebremedhin
Md. Mostofa Ali Patwary
GNN
242
119
0
25 Feb 2013
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