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Dimension-X-Robotics
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[ICRA 2025] ELite: Ephemerality meets LiDAR-based Lifelong Mapping
Code for paper "CrossBEV-PR:Cross-modal Visual-LiDAR Place Recognization via BEV Feature Distillation"
[RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"
Around View Monitor Algorithm Pipeline
Python implementation of "A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework", CAIP2017
Contrast enhancement of color images including analysis of different color spaces
LIR-LIVO: A Lightweight,Robust Lidar/Vision/Inertial Odometry with Illumination-Resilient Deep Features
KennyWGH / indt_omp
Forked from koide3/ndt_omp快速且优雅的 增量式NDT算法(iNDT)开源实现,基于ndt_omp。A fast and elegant implementation of incremental NDT algorithm (iNDT-OMP) based on ndt_omp.
BEV-LSLAM: A Novel and Compact BEV LiDAR SLAM for Outdoor Environment
A large-scale multi-robot dataset for multi-robot SLAM
LimHyungTae / HOV-SG
Forked from hovsg/HOV-SG[RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"
[ICRA2024] Collaborative Dynamic 3D Scene Graphs for Automated Driving
GLIM: versatile and extensible range-based 3D localization and mapping framework
[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
Collection of Papers with Codes: LiDAR Odometry/SLAM, Dynamic Object Removal, and Multiple Map Merging
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method, and with ScanContext as a loop candidate detection method
EKF-based LiDAR-Inertial Map matching Localization
🪙 COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry (ICRA 2024)
The First Dynamic Map Removal Benchmark | Included 8 SOTA methods | Continous updating
[ICRA'24] A localization system based on Block Maps (BMs) to reduce the computational load caused by maintaining large-scale maps
A real-time multifunctional Lidar SLAM package.
ROMAN is a view-invariant global localization method that maps open-set objects and uses the geometry, shape, and semantics of objects to find the transformation between a current pose and previous…
INS-Centric Visual-Inertial Navigation System With LiDAR Enhancement
A graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.
ROS human computer interface based on Qt5(基于Qt5的ROS人机交互界面)
Project page for "Stress-Testing Point Cloud Registration on Automotive LiDAR" by Amnon Drory, Shai Avidan and Raja Giryes
Traversable ground and above-ground object segmentation using graph representation of 3D LiDAR scans