yuexingzhang's repositories
QuillBot-Premium-Crack
🥇 Fully Crack All QuillBot Premium Features 💎: Premium Paraphrase Modes Unlock 🔱, Premium Paraphrase Synonyms Unlock 🪄, Enlarge Editor View 💥 (🥰 thousands of active users' choices)
Distributed-limitedFoV-MOT
Distributed Multi-Object Tracking Under Limited Field of View Sensors.
MTT
Implementation of several Bayesian multi-target tracking algorithms, including Poisson multi-Bernoulli mixture filters for sets of targets and sets of trajectories. The repository also includes the GOSPA metric and a metric for sets of trajectories to evaluate performance.
NS3
NS3 with CMake support
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接
RFS-SLAM
A C++ Library for Simultaneous Localization and Mapping using Random Finite Sets
MSS
Marine Systems Simulator (MSS)
ExcelFormat
ExcelFormat library from CodeProject
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
GlobalPathPlanningforUSV
Unmanned Surface Vehicle (USV) is a new type of intelligent surface craft, and global path planning is the key technology of USV research, which can reflect the intelligent level of USV. In order to solve the problem of global path planning of USV, this paper proposes an improved A* algorithm for sailing cost optimization based on electronic chart. This paper uses the S-57 electronic chart to realize the establishment of the octree grid environment model, and proposes an improved A* algorithm based on sailing safety weight, pilot quantity and path curve smoothing to ensure the safety of the route, reduce the planning time, and improve path smoothness. The simulation results show that the environmental model construction method and the improved A* algorithm can generate safe and reasonable global path.
Evolutionary-Algorithm
Evolutionary Algorithm using Python
Computational-Motion-Planning
This repository consists of various programming assignments to solve the motion planning problem using different approaches including graph-based methods, randomized planners and artificial potential fields.
fuzzy-controller
This fuzzy controller is based on C++. You can use triangle membership function or Gauss membership function or Trapezoid membership function to fuzzification the input error and error ratio, and it uses Madanni model to defuzzification . In the main function we have implemented one example which set target to 60 to verify the efficiency of this fuzzy controller, the result has proved that it does work well. If you have any questions about this, don't bother to contact me, My email address is 2219321592@qq.com
neptus
Neptus, Command and Control Infrastructure
linux
Linux kernel source tree
lantern
🔴Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴蓝灯最新版本下载 https://github.com/getlantern/forum/issues/833 🔴
isam
iSAM is an optimization library for sparse nonlinear problems as encountered in simultaneous localization and mapping (SLAM).
core-moos
A very light weight, easy to use middleware. You will need core-moos above all other components
MOOS-IvP-releases
repo to store MOOS-IvP official releases
phd-thesis
Repository of my thesis "Understanding Random Forests"
Robotics_Computational-Motion-Planning
This repository contains notes and assignment for the University of Pennsylvania/Coursera in the Robotics Specialization: Computational Motion Planning. If you are student in this course, please do not plagiarize this work as it violates the Honor Code.
robotics-motion-planning
All the materials of motion planning.