Bo Pang's Projects
Advanced implementation of LOAM
Recent papers about generalizable 6DoF object pose estimation.
Packaged version of the ByteTrack repository
Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects
Code for "CosyPose: Consistent multi-view multi-object 6D pose estimation", ECCV 2020.
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
CT-ICP: Continuous-Time LiDAR Odometry
CubeSLAM: Monocular 3D Object Detection and SLAM
Cube SLAM 个人注释版
Catkin wrapper for https://github.com/dorian3d/DBoW2
MPC for drones in python
[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors
[IROS 2020] EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
Real-time dense visual SLAM system
使用误差状态卡尔曼滤波器融合GPS和IMU,实现更高精度的定位
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
[ECCV2022] Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
gSLICr: Real-time super-pixel segmentation
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
3D LIDAR-based Graph SLAM
一阶和二阶倒立摆分析和控制系统设计
Sample implementation of an application using KinectFusionLib
泡泡机器人线下会议公开,自己对KinectFusionApp和KinectFusionLib的源码注释
kinfu_ros is a version of kinfu_remake for generic ROS depth cameras
Real-time large scale dense visual SLAM system
KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done in the Right Way https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral.pdf
A helper node to run KISS-ICP on ROS for those who are still obsessed with the dataset
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
A simple way to convert KITTI LiDAR data to rosbag.