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2d-3d-pose-tracking

Monocular Camera Localization in Prior LiDAR Maps with 2D-3D Line Correspondences

aiimooc_lesson

睿慕课三维点云处理课程作业代码

ant-learn-numpy

Python科学计算库Numpy的代码实现

ant-learn-pandas

pandas学习课程代码仓库

apollo

An open autonomous driving platform

apollo-kernel

Collections of Apollo Kernels

autoware

Open-source software for self-driving vehicles

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

books

c-c-

程序员相关电子书资料免费分享，欢迎关注个人微信公众号：程序员编程指南

calibanything

cam_lidar_calibration

camera-lidar calibration ros package

cam_lidar_calibration-1

This package estimates the calibration parameters that transforms the camera frame (parent) into the lidar frame (child)

clipper

graph-theoretic framework for robust pairwise data association

cpp_primer_answers

《C++ Primer》第五版中文版习题答案

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

direct_visual_lidar_calibration

A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]

disco-pytorch

Differentiable Scan Context with Orientation

eagleye

Precise localization based on GNSS and IMU.

eigenchinesedocument

This is my translation of Chinese document of Eigen

extrinsic_lidar_camera_calibration

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.

free

翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/ssr/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

gtsam-examples

GTSAM Tutorial Examples

hello-algorithm

🌍 针对小白的算法训练 | 包括四部分：①.算法基础 ②.力扣图解 ③.大厂面经 ④.CS_汇总 | 附：1、千本开源电子书 2、百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）

hsuantienlin_machinelearning