Le Jin's repositories

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D-Map

D-Map provides an efficient occupancy mapping approach for high-resolution LiDAR sensors.

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FAST_LIO_LC

The tight integration of FAST-LIO with Radius-Search-based loop closure module.

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S-FAST_LIO

A simplified implementation of FAST_LIO (with Chinese note)

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slam_in_autonomous_driving

《自动驾驶中的SLAM技术》对应开源代码

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vlmaps

[ICRA2023] Implementation of Visual Language Maps for Robot Navigation

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3D-LIDAR-Multi-Object-Tracking

🔥3D-MOT(点云多目标检测和追踪C++) (2020 · 秋) 代码有详细注解

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3D-VLA

Source codes for "3D-VLA: A 3D Vision-Language-Action Generative World Model"

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cube_slam_modified

语义slam,物体级别特征,动态点剔除,目标检测与分割

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direct_lidar_odometry

[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.

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dynamic_robot_localization

Point cloud registration pipeline for robot localization and 3D perception

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embodied-generalist

[ICML 2024] Official code repository for 3D embodied generalist agent LEO

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grid_map_-

Universal grid map library for mobile robotic mapping

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Ground-Fusion

Ground-Fusion: A Low-cost Ground SLAM System Robust to Corner Cases (ICRA2024)

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hector_slam

hector_slam contains ROS packages related to performing SLAM in unstructed environments like those encountered in the Urban Search and Rescue (USAR) scenarios of the RoboCup Rescue competition.

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I2EKF-LO

[IROS 2024] I2EKF-LO: A Dual-Iteration Extended Kalman Filter based LiDAR Odometry

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LIO-PPF

[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking

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liosam_liauto

Achieving relocalization and global real-time localization based on LIO-SAM in point cloud maps

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ObVi-SLAM

Long-Term Object Visual SLAM

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plvs_orb3

PLVS is a real-time SLAM system with points, lines, volumetric mapping and 3D unsupervised incremental segmentation.

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safe-rules

详细的C/C++编程规范指南,由360质量工程部编著,适用于桌面、服务端及嵌入式软件系统。

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slam_toolbox

Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS

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SurroundOcc

[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving

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UniAD

[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

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