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IF-LIO

IF-LIO: Intensity-Enhanced Front-End Matching for Robust LiDAR–Inertial Odometry under Geometric Degeneracy

Introduction

IF-LIO is a degeneration-aware intensity-assisted LiDAR-SLAM framework that improves localization robustness in geometrically degenerate environments by selectively leveraging intensity information as complementary constraints.

Overview

1 Build

cd <your workspace>
mkdir src
cd src
git clone https://github.com/usersky-cmyk/IF-LIO.git
cd ..
catkin_make

2 Run

2.1 Newer College Dataset

Download Newer College Dataset from https://ori-drs.github.io/newer-college-dataset/

source devel/setup.bash
roslaunch if_lio Newer_college.launch

2.2 ENWIDE Dataset

Download ENWIDE Dataset from https://projects.asl.ethz.ch/datasets/enwide/

source devel/setup.bash
roslaunch if_lio ENWIDE.launch

2.3 Self-collected Dataset

Download Self-collected Dataset from https://pan.baidu.com/s/1O7TMEtp_MsC5haGQPSLjsw (password: 1234)

source devel/setup.bash
roslaunch if_lio avia.launch

3 Result

3.1 Newer College Dataset

Method (Length m) Quad-Hard (234.81) Cloister (428.79) Stairs (57.04) Park (2396.20)
LIO-SAM 0.299 0.145 × 1.566
FAST-LIO2 0.049 0.078 × 0.310
RI-LIO 0.237 0.285 × 89.289
COIN-LIO 0.046 0.078 0.102 0.287
PG-LIO 0.054 0.097 0.077 0.331
Ours 0.045 0.067 0.092 0.241
quad-hard

quard_hard

3.2 ENWIDE Dataset

Method (Length m) TunnelS (251.58) TunnelD (179.71) IntersectionS (279.47) IntersectionD (388.47) RunwayS (333.57) RunwayD (357.14) FieldS (232.70) FieldD (287.91) KatzenseeS (242.88) KatzenseeD (177.20)
LIO-SAM × × × × × × × × 5.588 ×
FAST-LIO2 × × 12.437 23.800 × × 0.163 9.209 1.122 1.02
RI-LIO × × × × × × 1.721 24.851 × ×
COIN-LIO 0.743 0.487 0.466 1.912 1.033 2.437 0.232 0.581 0.412 0.592
PG-LIO 0.635 0.425 0.279 0.473 0.491 3.273 0.274 0.206 0.260 0.355
Ours 1.786 0.937 0.231 0.413 0.480 2.093 0.194 0.192 0.246 0.271
runway_d

runway_d

3.3 GEODE Dataset

Method (Length m) Shield_tunnel1 (γ) Shield_tunnel2 (γ) Shield_tunnel3 (γ) Shield_tunnel4 (γ) Shield_tunnel5 (γ) Shield_tunnel6 (γ)
LIO-SAM × × × × × ×
FAST-LIO2 × × × × × ×
RI-LIO -- -- -- -- -- --
COIN-LIO -- -- -- -- -- --
PG-LIO -- -- -- -- -- --
Ours 1.189 0.778 1.996 1.972 7.257 0.428

3.4 self-collected Dataset

playground

playground

4 Acknowledgements

Thanks for the below great open-source project for providing references to this work.

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