cmingzhang Goto Github PK
Type: User
Type: User
the lateral linear quadratic regulator algorithm for autonomous driving in carsim/simulink
Starting files for the Udacity CarND Behavioral Cloning Project
Source codes of “Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method” published in IEEE Trans. Intelligent Transportation Systems
Training framework for conditional imitation learning
Developed is a vehicle dynamics model that encompasses both the latitudinal and longitudinal aspects of motion. Built on top is a Cruise Control and Lane Keeping System using PID controllers.
2d curve curvature estimation by osculating circle
Contingency Model Predictive Control for Linear Time-Varying Systems; Interaction-Aware Game-Theoretic Motion Planning for Automated Vehicles using Bi-level Optimization
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
[ICCV 2023 Oral] A New Paradigm for End-to-end Autonomous Driving to Alleviate Causal Confusion
深度强化学习路径规划, SAC路径规划, Soft Actor-Critic算法, SAC-pytorch,激光雷达Lidar避障
[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning
For Starting
Hybrid A* Path Planning
Hybrid A Star algorithm C++ implementation
Clean PyTorch implementations of imitation and reward learning algorithms
LQR combined with a Kalman Filter, example developed in Simulink/Matlab
A repository for contributing towards HIL implementation of Longitudinal ADAS systems
In this project, we have used MATLAB as well as Simulink modeling to design an autopilot that controls the pitch of an aircraft.
An efficient path smoothing algorithm that has analytic solution. This algorithm provides curvature continuous path using cubic Bezier curves. This algorithms allows to have limits on maximum curvature of the path.
Hybrid A* Path Planner for the KTH Research Concept Vehicle
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
Some basic examples of playing with RL
Design rules, calculate target points, obtain multiple decision target points, and then use DWA algorithm to sample in time and space to obtain rough solutions
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.