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ADAS(Advanced Driving Assistance System) with some sort of assistant systems such as Lane keeping assist system,Adaptive Cruise Control,etc.
lane detection
Common API C++ SOMEIP tooling
game theory simulation
C++那些事
【优达学城】【C++】【练习及项目代码】
A Software-in-the-Loop simulator for a lane keeping assist system (LKAS) using V-REP to validate the LKAS controller and the lane detection algorithm.
The most complete DDS - Proven: Plenty of success cases.
Simple CommonAPI via SOME/IP example, which also supports Android (AOSP and NDK).
A minimalist environment for decision-making in autonomous driving
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Implementation of object-oriented programing, linear algebra and Markov Chains theory in Python to assist data analysis for this game and game rules adjustment based on the obtained dominant eigenvector that described related behaviors in the long run
Self-driving or Autonomous driving, Advanced Driving Assistance System (ADAS) is one of the most popular topics in research related to vehicle safety. One of the most useful technologies in autonomous driving is lane detection that uses longitudinal marks (e.g. straight and dashed lines) as a reference to keep the vehicle running on lane. Various operators on edge detection are proposed to obtain the best accuracy of lane detection. However, the movement of the line marks between frames will vary depending on the speed of the vehicle. If the system fails to detect the line marker at high speed, will cause the autonomous driving system make a wrong decision. In this final task, we will perform a comparison analysis of Canny, Laplacian of Gaussian (Marr-Hildreth) and Kirsch's ability on edge detection methods to detect dashed line marks at varying speeds. The results showed that all operators succeeded in achieving the minimum detection target of 80% and obtained the best operators for line marker detection is Kirsch with the highest percentage at all speeds 30, 50 and 80 km / h.
Implementing Lane Keeping Assist (LKA) on CARLA simulator
Real time, heads up display for vehicles made with RPi 3, camera, CAN connection, and open-source technologies like OpenCV
Teach a driving agent how to drive using game theoretic mixed policies approach
Udacity Self-Driving Car Nano Degree
We implement a system for vehicle detection and tracking from traffic video using Gaussian mixture models and Bayesian estimation. The system provides robust foreground segmentation of moving vehicles through a K-means clustering approximation as well as vehicle tracking correspondence between frames by correlating Kalman and particle filters.
Deep Learning Transformer models in MATLAB
Vehicle recognition from video
An implementation of Scalable service-Oriented MiddlewarE over IP
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.