cats-lab Goto Github PK
Name: CATS Lab
Type: Organization
Bio: The CATS Lab at the University of Wisconsin Madison led by Dr. Xiaopeng Li.
Name: CATS Lab
Type: Organization
Bio: The CATS Lab at the University of Wisconsin Madison led by Dr. Xiaopeng Li.
Use detect vehicles trajectory from vedio data with Yolo
A guideline for Object Avoidance in Autoware
USF Autonomous vehicle development notes, installation guide, and websites.
GPS nodes for autoware
Transfer trajectory/velocity to binary code
In this project, we detect the binary codes on traffic e-signs.
CATS Lab ACC data is the car-following trajectory dataset including both mix traffic and pure AV traffic.
Data for research Shi, X., Yao, H., Liang, Z. and Li, X., 2021. An Empirical Study on Fuel Consumption of Commercial Automated Vehicles (Under review). Preprint: https://doi.org/10.13140/RG.2.2.22363.90407
AV and HV lane change experiments
Data for reserach Shi, X. and Li, X., 2020. Empirical Study on Car Following Characteristics of Automated Vehicles with Different Headway Settings. Transportation Research Part C: Emerging Technologies.
Pure HV car following experiments
Experiments for an HV following an AV
This is a template for Read the Docs live documentation
Code for for paper*Zhou, F., Li, X. & Ma, J. (2017). Parsimonious shooting heuristic for trajectory design of connected automated traffic part I: Theoretical analysis with generalized time geography. Transportation Research Part B, 95, 394-420. https://doi.org/10.1016/j.trb.2016.05.007
Code for paper: Li, X., Ghiasi, A., Xu, Z. & Qu, X. (2018). A piecewise trajectory optimization model for connected automated vehicles: Exact optimization algorithm and queue propagation analysis. Transportation Research Part B, 118: 429-456. https://doi.org/10.1016/j.trb.2018.11.002
Code for paper *Li, X. Trade-off between safety, mobility and stability in automated vehicle following control. Transportation Research Part B
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.