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semantic_slam-3

semantic_slam from rangenet_lib

semantic_slam-4

semantic_slam_nav_ros

针对带有RGBD相机的服务机器人，物流机器人等。具有：语义地图构建、定位导航、三维重构、重定位、动态物体识别、移动避障、手势识别、人脸识别、语音合成与识别等功能

semantic_suma

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

semantic_visual_supported_odemetry

semantic visual slam for monocular and stereo camera devices

semester_thesis

Design, Implementation and Evaluation of an Incremental Nonlinear Dynamic Inversion Controller for a Nano-Quadrotor

semi-global-dense-stereo-matching

semi-supervised_embedding

semiglobalmatching

SGM，立体匹配最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学，欢迎star！

semlab

Spectral Element Method for wave propagation and rupture dynamics in Matlab.

semperfi

SemperFi - A spoofing resistant GPS receiver

semseg

常用的语义分割架构结构综述以及代码复现

seng440_integerfft_m3

Integer FFT using a Cypres PSoC5 with an M3

senior-capstone-obstacle-avoidance

Embedded C++ utilizing STM32 HAL drivers and other algorithms to implement obstacle avoidance for robot collectives, relying on hardware such as a CMOS camera, several time of flight sensors, a STM32H7, and a small wheeled robot to which the aforementioned hardware is added to.

senior-design-cybertap

senior_design_puf

Repository to store all design and testbench files for Senior Design

seniorproject-ofdmmodem

Repository for documents and code for my UofU Senior Design Project where I have created an OFDM modem.

sense_snap_hw

This repository contains all the KiCad based PCB design and related documentation for all the PCBs developed at Appiko.

sensei

Sensei is an open-source Python toolbox for simulating integrated navigation systems and performing analysis to identify, model, and estimate major sources of error in sensor data.

sensitive-and-efficient-rf-harvesting-supply-for-batteryless-backscatter-sensor-networks

Files of publication

sensor-board

sensor-board-design

WSS's Sensor Board design

sensor-fusion

Kalman filters (KF, EKF, UKF), LIDAR object detection

sensor-fusion-1

Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar

sensor-fusion-2

Sensor Fusion for Localization & Mapping

sensor-fusion-3

Thesis

sensor-fusion-4

深蓝多传感器融合课程作业

sensor-fusion-for-localization-and-mapping

深蓝学院 多传感器定位融合第四期 学习笔记

sensor-fusion-for-slam

sensor-fusion-using-es-ekf

Implement Error-State Extended Kalman Filter on fusing data from IMU, Lidar and GNSS.