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A resource repository for 3D machine learning
关于谷歌slam地图库cartographer的源码注释
这是一个工作空间,一个工程,一起上传了,其中src里有2个节点和1个msg,两个节点:conti_radar是大陆ARS408-21Radar在ROS下的驱动,另外一个radar_visualizer是将接收到的Radar数据通过Marker标记的形式在RVIZ上显示。
DSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)
This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
IDA-3D: Instance-Depth-Aware 3D Object Detection from Stereo Vision for Autonomous Driving, in CVPR2020
calibration for Imu and show gesture
Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
Robust and Online LiDAR-inertial Initialization Method.
livox_camera_lidar_calibration的改进
RVIZ plugins to display a mesh
C++ application to convert pcd file, ply file, txt file or xyz point cloud to MESH representation (Gp3).
(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Object Detection on Radar sensor and RGB camera images. https://ieeexplore.ieee.org/document/9191046
Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting camera images into three dimensions and fusing these projections with other sensor data. Combine this sensor data with Kalman filters to perceive the world around a vehicle and track objects over time.
slam源码分析
edition 2 of the slambook
Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)
Stereo Vision Detection
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
A Robust and Versatile Monocular Visual-Inertial State Estimator
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.