Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2103.13808
Cited By
3D3L: Deep Learned 3D Keypoint Detection and Description for LiDARs
25 March 2021
Dominc Streiff
Lukas Bernreiter
Florian Tschopp
M. Fehr
Roland Siegwart
3DPC
Re-assign community
ArXiv
PDF
HTML
Papers citing
"3D3L: Deep Learned 3D Keypoint Detection and Description for LiDARs"
3 / 3 papers shown
Title
maplab 2.0 -- A Modular and Multi-Modal Mapping Framework
Andrei Cramariuc
Lukas Bernreiter
Florian Tschopp
M. Fehr
Victor Reijgwart
Juan I. Nieto
Roland Siegwart
Cesar Cadena
40
49
0
01 Dec 2022
The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth
Milad Ramezani
Yiduo Wang
Marco Camurri
David Wisth
Matías Mattamala
Maurice F. Fallon
3DV
79
190
0
12 Mar 2020
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
Xuyang Bai
Zixin Luo
Lei Zhou
Hongbo Fu
Long Quan
Chiew-Lan Tai
3DPC
39
386
0
06 Mar 2020
1