BaiZhaohui

BaiZhaohui's Stars

• oz123/awesome-c

  A curated list of awesome C frameworks, libraries, resources and other shiny things. Inspired by all the other awesome-... projects out there.

  9k801

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.3k4.1k

• gaoxiang12/slam_in_autonomous_driving

  《自动驾驶中的SLAM技术》对应开源代码

  Language:C++1.9k453

• HuangCongQing/3D-LIDAR-Multi-Object-Tracking

  🔥3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解

  Language:C++37989

• JunshengFu/tracking-with-Extended-Kalman-Filter

  Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.

  Language:C++737258

• gaoxiang12/slambook2

  edition 2 of the slambook

  Language:C++5.4k2k

• OpenDriveLab/End-to-end-Autonomous-Driving

  [IEEE T-PAMI] All you need for End-to-end Autonomous Driving

  1.9k195

• federico-busato/Modern-CPP-Programming

  Modern C++ Programming Course (C++03/11/14/17/20/23/26)

  Language:HTML11.7k781

• leandromoreira/ffmpeg-libav-tutorial

  FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷

  Language:C9.9k942

• darylclimb/cvml_project

  Projects and application using computer vision and machine learning

  Language:Python27591

• peter-moran/highway-lane-tracker

  Locates and tracks the position of lane lines (and the car) in dashcam video.

  Language:Python4822

• udacity/CarND-Advanced-Lane-Lines

  Language:Shell4862.4k

• amusi/awesome-lane-detection

  A paper list of lane detection.

  2.9k773

• CAIC-AD/YOLOPv2

  YOLOPv2: Better, Faster, Stronger for Panoptic driving Perception

  Language:Python53567

• thomasfermi/Algorithms-for-Automated-Driving

  Each chapter of this (mini-)book guides you in programming one important software component for automated driving.

  Language:Jupyter Notebook37382

• PJLab-ADG/SensorsCalibration

  OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

  Language:C++2.3k545

• chenzomi12/AISystem

  AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

  Language:Jupyter Notebook10.2k1.5k

• carla-simulator/carla

  Open-source simulator for autonomous driving research.

  Language:C++11k3.6k

• HarleysZhang/cv_note

  记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

  Language:Python2.3k374

• nityanandagohain/proxy_configuration

  System wide proxy configuration in a single script with options to add, remove proxy and restore system default proxy configuration

  Language:Python9137

• AbdulRKB/ReverseSubl

  Reverse Engineering Sublime Text 4

  3911

• apache/arrow-adbc

  Database connectivity API standard and libraries for Apache Arrow

  Language:C#35586

• Vonng/ddia

  《Designing Data-Intensive Application》DDIA中文翻译

  Language:Python19.8k4.2k

• remzi-arpacidusseau/ostep-code

  Code from various chapters in OSTEP (http://www.ostep.org)

  Language:C3.3k1.3k

• efficient/SuRF

  First Practical and General-purpose Range Filter

  Language:C++53090

• OpenPPL/ppq

  PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

  Language:Python1.5k228

• NVIDIA/trt-samples-for-hackathon-cn

  Simple samples for TensorRT programming

  Language:Python1.5k334

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python22.2k7.9k

• yzhu798/CodingInterviewsNotes

  涵盖C++ Primer 5th、 effective C++ 、 STL api和demos C++ 基础知识与理论、 智能指针、C++11、 Git教程 Linux命令 Unix操作系统（进程、线程、内存管理、信号）计算机网络、 数据结构（排序、查找）、数据库、、C++对象模型、 设计模式、算法（《剑指offer》、leetcode、lintcode、hihocoder、《王道程序员求职宝典》）、面试题、嵌入式相关等

  Language:HTML2.4k595

• r00tk1ts/cpp-templates-2nd

  Translation of C++ Templates 2nd | Powered by Obsidian

  Language:CSS33764