- Coding 8
- SLAM 29
- LiDAR 5
- Deep Learning 27
- Android 1
- LiFi 2
- Event-based Vision 6
- Robotics 4
- Books 5
- Hardware 3
- VLN/VLA 8
Coding
- conda安装与各类命令记录
- git基本命令
- 算法学习笔记
- 在线游戏之——下棋啦
- 给GitHub Profile做个贪吃蛇游戏
- Academic Profile的管理及其在Jekyll博客中的可视化
- 利用 GitHub Actions 为 Markdown 项目自动添加目录
- Hello World
SLAM
- 论文调研之——硬件加速SLAM系统
- 调研笔记之——高程地图（Elevation Map）
- 实验笔记之——基于ROS2的ORB-SLAM3
- 论文复现及阅读笔记——《BotVIO: A Lightweight Transformer-Based Visual–Inertial Odometry for Robotics》
- Paper Survey之——Awesome Learning-based LiDAR Odometry
- 论文阅读笔记之——《Splat-LOAM: Gaussian Splatting LiDAR Odometry and Mapping》
- 实验复现之——《MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry》
- 实验笔记之——动态场景下MASt3R及MASt3R-SLAM的测试
- 论文复现之——《Easi3R: Estimating Disentangled Motion from DUSt3R Without Training》
- Paper Survey之——Awesome SLAM for Legged Robot
- 论文学习及实验笔记之——《MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion》
- Paper Survey之——Awesome Diffusion-based SLAM
- 论文学习及实验笔记之——《SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos》
- Paper Survey之——LiDAR-SLAM中的退化检测
- Paper Survey之——Awesome NeRF SLAM
- Paper Survey之——Awesome Learning-based VO and VIO
- Paper Survey之——Awesome Transformer-based SLAM
- 实验笔记之——Sweep Robot/扫地机器人
- Paper Survey之——Awesome Dynamic SLAM
- Paper Survey之——Awesome 3DGS SLAM
- 论文阅读及复现笔记之——《Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass》
- 论文阅读笔记之——Reinforcement Learning for Visual Odometry
- 实验笔记之——MASt3R-SLAM
- 论文复现之——《AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability》
- 论文复现之——《AirIMU: Learning uncertainty propagation for inertial odometry》
- Paper Survey之——Awesome Deep IMU-Bias Inference
- 学习笔记之——SF-Loc
- 论文阅读笔记之——Occupancy-SLAM
- Fast-LIVO2复现及论文阅读
LiDAR
- Paper Survey之——Awesome Learning-based LiDAR Odometry
- 论文阅读笔记之——《Splat-LOAM: Gaussian Splatting LiDAR Odometry and Mapping》
- 实验笔记之——Sweep Robot/扫地机器人
- 论文阅读笔记之——Occupancy-SLAM
- Fast-LIVO2复现及论文阅读
Deep Learning
- 论文阅读笔记之——(CLIP) Learning transferable visual models from natural language supervision
- What is Teacher and Student Learning?
- 论文复现及阅读笔记——《BotVIO: A Lightweight Transformer-Based Visual–Inertial Odometry for Robotics》
- 实验复现之——《MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry》
- 论文阅读及实验复现之——《IncEventGS: Pose-Free Gaussian Splatting from a Single Event Camera》
- 实验笔记之——动态场景下MASt3R及MASt3R-SLAM的测试
- 论文复现之——《Easi3R: Estimating Disentangled Motion from DUSt3R Without Training》
- 论文阅读及实验复现之——《E-3DGS: Event-Based Novel View Rendering of Large-Scale Scenes Using 3D Gaussian Splatting》
- 论文学习及实验笔记之——《MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion》
- Paper Survey之——Awesome Diffusion-based SLAM
- 论文学习及实验笔记之——《SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos》
- 论文学习及实验笔记之——《VGGT: Visual Geometry Grounded Transformer》
- 从图像数据集中生成事件数据
- What is Diffusion and Deep Generative Modeling
- Paper Survey之——Awesome NeRF SLAM
- Paper Survey之——Awesome Learning-based VO and VIO
- Paper Survey之——Awesome Transformer-based SLAM
- What is Transformer? Form NLP to CV
- 论文阅读及复现笔记之——《Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass》
- 论文阅读笔记之——Reinforcement Learning for Visual Odometry
- 实验笔记之——MASt3R-SLAM
- 实验笔记之——Contrast Maximization for Learning Sequential Event-based Optical Flow
- 论文复现之——《AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability》
- 论文复现之——《AirIMU: Learning uncertainty propagation for inertial odometry》
- Paper Survey之——Awesome Deep IMU-Bias Inference
- 学习笔记之——SF-Loc
- 学习笔记之——SEA-RAFT
Android
LiFi
Event-based Vision
- 论文阅读及实验复现之——《IncEventGS: Pose-Free Gaussian Splatting from a Single Event Camera》
- 论文阅读及实验复现之——《E-3DGS: Event-Based Novel View Rendering of Large-Scale Scenes Using 3D Gaussian Splatting》
- 事件相机的时间同步处理
- 从图像数据集中生成事件数据
- 实验笔记之——Contrast Maximization for Learning Sequential Event-based Optical Flow
- Paper Survey之——Awesome Event-based Contrast Maximization
Robotics
- 论文阅读笔记之——《Sensing, Social, and Motion Intelligence in Embodied Navigation: A Comprehensive Survey》
- 业界主流的人形机器人运动控制调研
- 浅谈ROS系统
- 智驾中的“无图”
Books
Hardware
- 论文调研之——硬件加速SLAM系统
- 思岚Hermes PRO MAX移动底盘
- 论文阅读笔记之——《Agent.xpu: Efficient Scheduling of Agentic LLM Workloads on Heterogeneous SoC》
VLN/VLA
- Paper Survey之——基于真实机器人的VLN
- 论文阅读笔记之——《Zero-shot Object-Centric Instruction Following: Integrating Foundation Models with Traditional Navigation》
- Paper Survey之——Awesome Vision-Language-Action (VLA)
- VLA论文阅读笔记之——《Rt-1: Robotics transformer for real-world control at scale》
- 论文阅读笔记之——《Vision-language-action models: Concepts, progress, applications and challenges》
- Paper Survey——CLIP on VLN
- 论文阅读笔记之——《Vision-and-language navigation today and tomorrow: A survey in the era of foundation models》
- Paper Survey之——Awesome Visual-Language-Navigation (VLN)