Computational framework for reinforcement learning in traffic control
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Updated
Mar 17, 2024 - Python
Computational framework for reinforcement learning in traffic control
Build your race-ready electric car in 10 minutes with powerful electronic stability control and a modern dashboard.
iterative Linear Quadratic Regulator with constraints.
Set of templates for creating custom vehicle models using Simscape for use within Simulink.
Eclipse ADORe is a ROS based modular software library and toolkit for decision making, planning, control and simulation of automated vehicles supporting CARLA and SUMO.
PACMod Board Rev 3 Driver
A ROS driver for the AutonomouStuff PACMod drive-by-wire system.
Projects & Notebooks of Coursera's Self-Driving Cars Specialization.
In this project, we built ROS nodes to implement the core functionality of the autonomous vehicle system, including traffic light detection and classification, vehicle control control, and waypoint following.
Software for passing joystick commands to AutonomouStuff's low-level control software.
In this project, we implement a PID controller to steer the self driving car around the track in Udacity's Simulator.
Implementation of a Longitudinal and Lateral controller (2D) of an autonomous vehicle on Carla Simulator
A vehicle-pedestrian interaction framework for simulation.
The main goal of the project is to implement in C++ Model Predictive Control to drive the vehicle around the simulator track.
An automatically driving system for Garry's Mod.
Central codebase for the AIR team's sd_twizy vehicle, encompassing both simulation models and real-world implementation using ROS2.
Learning Vision Based Autonomous Lateral Vehicle Control without Supervision
code for paper: [1] M. Hu, X. Wang, Y. Bian, D. Cao, and H. Wang, “Disturbance Observer-Based Cooperative Control of Vehicle Platoons Subject to Mismatched Disturbance,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 4, pp. 2748–2758, Apr. 2023.
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