Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU

26 February 2019

Papers citing "Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU"

9 / 9 papers shown

Title
UAV Navigation in Tunnels with 2D tilted LiDARs D. Tardioli L. Cano Alejandro R. Mosteo 25 0 0 15 Apr 2024
Deep Robust Multi-Robot Re-localisation in Natural Environments Milad Ramezani Ethan Griffiths Maryam Haghighat Alex Pitt Peyman Moghadam 42 7 0 26 Jul 2023
Real-time LIDAR localization in natural and urban environments Georgi Tinchev Adrian Penate-Sanchez Maurice F. Fallon 24 1 0 31 Jan 2023
3D ToF LiDAR in Mobile Robotics: A Review Tao Yang You Li Cheng Zhao Dexin Yao Guanyin Chen Li Sun T. Krajník Zhi Yan 13 24 0 22 Feb 2022
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition Kavisha Vidanapathirana Milad Ramezani Peyman Moghadam Sridha Sridharan Clinton Fookes 3DPC 3DV 36 82 0 17 Sep 2021
NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation Zhi Zhou Cheng Zhao Daniel Adolfsson Songzhi Su Yang Gao T. Duckett Li Sun ViT 20 104 0 23 Mar 2021
LIRO: Tightly Coupled Lidar-Inertia-Ranging Odometry Thien-Minh Nguyen Muqing Cao Shenghai Yuan Yang Lyu T. Nguyen Lihua Xie 29 36 0 25 Oct 2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming Madan Ravi Ganesh Jason J. Corso S. Y. Sekeh MQ 35 15 0 18 Mar 2020
SegMatch: Segment based loop-closure for 3D point clouds Renaud Dubé Daniel Dugas E. Stumm Juan I. Nieto Roland Siegwart Cesar Cadena 3DV 198 318 0 25 Sep 2016