Pinned Repositories
Android-CourierAssistant
派送助手——2016年全国研究生移动终端应用设计创新大赛一等奖作品。本APP集合快件管理，路线规划，一键导航和智能呼叫功能，能够帮助快递员\外卖员提高派送效率。首先将快件的地址和电话信息添加到"派送助手"，点击"开始派送"。后台算法将会计算最优路线，确定快件的派送次序，快递员\外卖员依照提示依次派送。快递员\外卖员遇到不熟悉路线时，点击"导航"可以获取当前位置到目的地的导航路线。当快递员将要到达目的地时，手机会智能识别并提前拨叫用户。节省快递员等待客户取件的时间。
Awesome-CVPR-Paper
CVPR 论文收集，包含但不限于2020、2019、2018、2017文章
electronic-wechat
:speech_balloon: A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.
express
利用大规模视觉导航机器人进行快递分拣，涉及调度系统的设计、视觉导航机器人设计、大规模机器人模拟软件设计、路径规划算法研究，涉及技术栈java、C++、c、spring、swing、netty、openCV、ardunio、调度、路径规划、嵌入式、PID控制。——Using large-scale visual navigation robot for express sorting involves the design of scheduling system, visual navigation robot, large-scale robot simulation software, path planning algorithm research, and technology stack Java, C + +, C, spring, swing, netty, opencv, ardunio, scheduling, path planning, embedded, PID control
ExpressUserClient
快递小哥安卓客户端，采用mvp架构和retrofit+Rxjava框架开发
gpsCalibration
A meter level precision GPS calibrator for out-door robots by fusion sensors of GPS satellite, point cloud, IMU and others. SLAM, various stochastic process models, point set registration, and Kalman filter are used.
journalClub
iMorpheus.ai hosts weekly technical journal discussion event through webex. Here is all the papers and slides discussed.
lslidar_n301
镭神智能激光Ｎ30101网口版官方ros驱动
NNModel
SmartIMU
IMU Development Kit，Use STM32F411C、MPU9250、LPS25H
WarrenDream's Repositories
WarrenDream/lslidar_n301
镭神智能激光Ｎ30101网口版官方ros驱动
WarrenDream/NNModel
WarrenDream/SmartIMU
IMU Development Kit，Use STM32F411C、MPU9250、LPS25H
WarrenDream/Android-CourierAssistant
派送助手——2016年全国研究生移动终端应用设计创新大赛一等奖作品。本APP集合快件管理，路线规划，一键导航和智能呼叫功能，能够帮助快递员\外卖员提高派送效率。首先将快件的地址和电话信息添加到"派送助手"，点击"开始派送"。后台算法将会计算最优路线，确定快件的派送次序，快递员\外卖员依照提示依次派送。快递员\外卖员遇到不熟悉路线时，点击"导航"可以获取当前位置到目的地的导航路线。当快递员将要到达目的地时，手机会智能识别并提前拨叫用户。节省快递员等待客户取件的时间。
WarrenDream/Awesome-CVPR-Paper
CVPR 论文收集，包含但不限于2020、2019、2018、2017文章
WarrenDream/electronic-wechat
:speech_balloon: A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.
WarrenDream/express
利用大规模视觉导航机器人进行快递分拣，涉及调度系统的设计、视觉导航机器人设计、大规模机器人模拟软件设计、路径规划算法研究，涉及技术栈java、C++、c、spring、swing、netty、openCV、ardunio、调度、路径规划、嵌入式、PID控制。——Using large-scale visual navigation robot for express sorting involves the design of scheduling system, visual navigation robot, large-scale robot simulation software, path planning algorithm research, and technology stack Java, C + +, C, spring, swing, netty, opencv, ardunio, scheduling, path planning, embedded, PID control
WarrenDream/ExpressUserClient
快递小哥安卓客户端，采用mvp架构和retrofit+Rxjava框架开发
WarrenDream/gpsCalibration
A meter level precision GPS calibrator for out-door robots by fusion sensors of GPS satellite, point cloud, IMU and others. SLAM, various stochastic process models, point set registration, and Kalman filter are used.
WarrenDream/journalClub
iMorpheus.ai hosts weekly technical journal discussion event through webex. Here is all the papers and slides discussed.
WarrenDream/noteshrink
Convert scans of handwritten notes to beautiful, compact PDFs
WarrenDream/research
dataset and code for 2016 paper "Learning a Driving Simulator"
WarrenDream/self-driving-car
The Udacity open source self-driving car project
WarrenDream/simulator
利用大规模视觉导航机器人进行快递分拣，涉及调度系统的设计、视觉导航机器人设计、大规模机器人模拟软件设计、路径规划算法研究，涉及技术栈java、C++、c、spring、swing、netty、openCV、ardunio、调度、路径规划、嵌入式、PID控制。——Using large-scale visual navigation robot for express sorting involves the design of scheduling system, visual navigation robot, large-scale robot simulation software, path planning algorithm research, and technology stack Java, C + +, C, spring, swing, netty, opencv, ardunio, scheduling, path planning, embedded, PID control
WarrenDream/slam
learning SLAM,curse,paper and others
WarrenDream/som-tsp
Solving the Traveling Salesman Problem using Self-Organizing Maps
WarrenDream/StereoVision
stereo matching based on OpenCV and VS 2010
WarrenDream/stm32f103rc_rosserial
stm32f103rc rosserial
WarrenDream/TopologicalSemanticGraphMemory
Topological Semantic Graph Memory for Image Goal Navigation (CoRL 2022 oral)