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Homepage for STAT 157 at UC Berkeley

book icon book

:green_book:我的个人书籍学习和收藏

ccm_slam icon ccm_slam

CCM-SLAM: Robust and Efficient Centralized Collaborative Monocular SLAM for Robotic Teams

deformable-detr icon deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

detr icon detr

End-to-End Object Detection with Transformers

dynslam icon dynslam

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

eskf_lio icon eskf_lio

IESKF-LIO reference to fast_lio1.0(参考fast-lio早期版本,复现的fast-lio2)

fast_lio icon fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

feeluown icon feeluown

trying to be a user-friendly and hackable music player

gvins icon gvins

Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.

hpc-lab-sysu icon hpc-lab-sysu

2020秋中山大学高性能计算课程课件与作业

ingvio icon ingvio

An invariant filter to fuse monocular/stereo visual-inertial-raw GNSS.

interview icon interview

📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

kalman-and-bayesian-filters-in-python icon 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.

kalmanfilter icon kalmanfilter

This is a Kalman filter used to calculate the angle, rate and bias from from the input of an accelerometer/magnetometer and a gyroscope.

kuiperinfer icon kuiperinfer

带你从零实现一个高性能的深度学习推理库,支持Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

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