Stars
[IROS 2020] Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Cross-platform, customizable ML solutions for live and streaming media.
Deep Intrinsic image decomposition
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
RoboSense LiDAR cross-platform driver kernel for advanced development
A simplified implementation of FAST_LIO (with Chinese note)
Support robosense LiDAR including M1, E1R, and Airy
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
Resources about activity recognition-行为识别资料
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
Deep Learning for 3D Human Pose Estimation and Mesh Recovery: A Survey
We propose UniPose, a unified framework for human pose estimation, based on our “Waterfall” Atrous Spatial Pooling architecture, that achieves state-of-art-results on several pose estimation metric…
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
A ros implement for pointpillars (OpenPCDet based)
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.
SpatialLM: Large Language Model for Spatial Understanding
A lightweight tool for labeling 3D bounding boxes in point clouds.
Web labeling tool for bitmap images and point clouds
Code and data for LiDAR-HMR: 3D Human Mesh Recovery from LiDAR
Official dataset and code for "ELMO: Enhanced Real-time LiDAR Motion Capture through Upsampling" and "MOVIN: Real-time Motion Capture using a Single LiDAR"
Official implementation for "MOVIN: Real-time Motion Capture using a Single LiDAR"