Computational framework for reinforcement learning in traffic control
- Updated
Jul 27, 2024 - Python
Computational framework for reinforcement learning in traffic control
Enable your racing car with powerful, data-driven instrumentation, control, and analysis systems, all wrapped up in a gorgeous look.
iterative Linear Quadratic Regulator with support for constraints on input and state variables via barrier functions—Numba-accelerated.
Set of templates for creating custom vehicle models using Simscape for use within Simulink.
Eclipse ADORe is a ROS 1 based modular software library and toolkit for decision making, planning, control and simulation of automated vehicles supporting CARLA and SUMO.
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.
A ROS driver for the AutonomouStuff PACMod drive-by-wire system.
PACMod Board Rev 3 Driver
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.
A vehicle-pedestrian interaction framework for simulation.
Implementation of a Longitudinal and Lateral controller (2D) of an autonomous vehicle on Carla Simulator
Projects & Notebooks of Coursera's Self-Driving Cars Specialization.
Learning Vision Based Autonomous Lateral Vehicle Control without Supervision
Eclipse ADORe is a ROS 2 modular toolkit for decision making, planning, control and simulation of automated vehicles supporting CARLA and SUMO.
In this project, we implement a PID controller to steer the self driving car around the track in Udacity's Simulator.
Software for passing joystick commands to AutonomouStuff's low-level control software.
The main goal of the project is to implement in C++ Model Predictive Control to drive the vehicle around the simulator track.
Model Predictive Control on vehicles
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