Simultaneous Localization and Mapping with Multi-sensor Fusion

Image credit: Unsplash

Date
Jan 16, 2023 8:00 PM — 11:00 PM
Location
Online talk

PPT Slide:

Simultaneous_Localization_and_Mapping_with_Multi-sensor_Fusion.pdf

Talks:

[Online] Simultaneous Localization and Mapping with Multi-sensor Fusion (基于多传感器融合的定位和建图系统)

Contents

  • LiDAR(-inertial) SLAM
    • World’s first LiDAR odometry and mapping (LOAM) system for solid-state LiDAR (loam-livox)
    • Tightly-coupled LiDAR-inertial odometry (FAST-LIO)
  • Multi-sensor Fusion (LiDAR-Inertial-Visual)
    • World’s first open-source tightly-coupled LiDAR-Inertial-Visual system (R2LIVE)
    • Real-time radiance map reconstruction package (R3LIVE)
  • Immediate LiDAR localization and meshing Framework (ImMesh)
    • Introduction to ImMesh, experiments and results.
    • Applications based on ImMesh
      • ImMesh for LiDAR point cloud reinforcement
      • ImMesh for Rapid, Lossless texture reconstruction
Jiarong Lin
Jiarong Lin
Ph.D. candidate in Robotics🤖

My research interests include Simultaneous localization and mapping (SLAM), Multi-sensor (i.e., LiDAR-Inertial-Visual) Fusion, and 3D reconstruction. My popular works include: R3LIVE, FAST-LIO, loam-livox, R2LIVE, and ImMesh🆕.