DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds

28 November 2018

Papers citing "DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds"

8 / 8 papers shown

Title
DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization Chao-Yeh Chen Xinhao Liu Yiming Li Li Ding Chen Feng 3DPC SSL 37 15 0 13 Dec 2022
Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds Zhiyuan Zhang Yuchao Dai Bin Fan Jiadai Sun Mingyi He 3DPC 48 7 0 26 Oct 2022
An Efficient Accelerator for Deep Learning-based Point Cloud Registration on FPGAs Keisuke Sugiura Hiroki Matsutani 3DPC 30 5 0 11 Mar 2022
Mapping of Sparse 3D Data using Alternating Projection Siddhant Ranade Xin Yu S. Kakkar Pedro Miraldo Srikumar Ramalingam 3DPC 43 2 0 04 Oct 2020
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs) Victor Villena-Martinez Sergiu Oprea Marcelo Saval-Calvo J. Azorín-López Andrés Fuster-Guilló Robert B. Fisher 42 32 0 06 Mar 2020
3D Point Cloud Processing and Learning for Autonomous Driving Siheng Chen Baoan Liu Chen Feng Carlos Vallespi-Gonzalez Carl K. Wellington 3DPC 56 164 0 01 Mar 2020
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration Weixin Lu Guowei Wan Yao Zhou Xiangyu Fu P. Yuan Shiyu Song 3DPC 3DV 11 270 0 10 May 2019
3DRegNet: A Deep Neural Network for 3D Point Registration Goncalo Dias Pais Srikumar Ramalingam V. Govindu Jacinto C. Nascimento Rama Chellappa Pedro Miraldo 3DPC 3DV 42 219 0 02 Apr 2019