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jasonsun623's Projects

a_survey_of_slam icon a_survey_of_slam

The source file of paper in Latex and frame in Visio and XMind (A Survey of Simultaneous Localization and Mapping)

access_points icon access_points

Scan your WiFi and get access point information and signal quality

aerodust icon aerodust

HackBeanpot 2018, Hacks for Xiaomi vaccum cleaning robots: autonomous WiFi heatmap/mapping (very hacky)

amcl icon amcl

robot localization use AMCL

amcl3d icon amcl3d

Adaptive Monte Carlo Localization (AMCL) in 3D.

autonavi icon autonavi

ROS-based autonomous navigation tools for mobile robots with 2D LiDAR

awesome-cpp icon awesome-cpp

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

awesome-cpp-cn icon awesome-cpp-cn

C++ 资源大全中文版,标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等

awesome-visual-slam icon awesome-visual-slam

:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

awesomecpp icon awesomecpp

---AWESOME--- C++学习笔记和常见面试知识点,C++11特性,包括多态、虚表、移动语义、友元函数、符号重载、完美转发、智能指针、const和static、数组指针和指针数组、struct内存对齐、enum和union关键字等等

benchmark-dataset-for-adaptive-stride-length-estimation icon benchmark-dataset-for-adaptive-stride-length-estimation

The lack of benchmarking datasets for pedestrian stride length estimation makes it hard to pinpoint differences of published methods. Existing datasets either lack the ground-truth of each stride or are limited to small spaces with single scene or motion pattern. To fully evaluate the performance of proposed ASLE algorithm, we conducted benchmark dataset for natural pedestrian dead reckoning using smartphone sensors and FM-INS module. we leveraged the FM-INS module to provide the ground-truth of each stride with motion distance errors in 0.3% of the entire travel distance. The datasets were obtained from a group of healthy adults with natural motion patterns (fast walking, normal walking, slow walking, running, jumping). The datasets contained more than 22 km, 10000 strides of gait measurements. The datasets cover both indoor and outdoor cases, including: stairs, escalators, elevators, office environments, shopping mall, streets and metro station. To maximize compatibility, all data is published in open and simple file formats. The sensor is sampled at 100 Hz. Throughout the datasets, the users hold the phone in their hand in front of their chest. The samples hold nine degree-of-freedom sensor data and the corresponding stride number, stride length and total walking distance.

calibration icon calibration

Extrinsic calibration ROS packages for 2D/3D lasers, SR4000 and Point Grey camera with GUI

calibration-1 icon calibration-1

Supplemental material for "Simultaneous calibration of odometry and sensor parameters for mobile robots"

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