A2DO: Adaptive Anti-Degradation Odometry with Deep Multi-Sensor Fusion for Autonomous Navigation

28 February 2025

Papers citing "A2DO: Adaptive Anti-Degradation Odometry with Deep Multi-Sensor Fusion for Autonomous Navigation"

8 / 8 papers shown

Title
R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package Jiarong Lin Fu Zhang 74 252 0 10 Sep 2021
FAST-LIO2: Fast Direct LiDAR-inertial Odometry Wei Xu Yixi Cai Dongjiao He Jiarong Lin Fu Zhang 36 851 0 14 Jul 2021
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping Tixiao Shan Brendan Englot C. Ratti Daniela Rus 42 320 0 22 Apr 2021
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM C. Campos Richard Elvira J. Rodríguez José M.M. Montiel Juan D. Tardós 60 2,843 0 23 Jul 2020
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping Tixiao Shan Brendan Englot Drew Meyers Wei Wang C. Ratti Daniela Rus 53 1,310 0 01 Jul 2020
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator Tong Qin Peiliang Li Shaojie Shen 54 3,308 0 13 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 484 129,831 0 12 Jun 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 212 3,101 0 19 May 2017