Stars
F-16 Aircraft Dynamics Model from Stevens and Lewis "Aircraft Control and Simulation".
Control Systems Analysis Framework - a framework to minimize the effort required to evaluate, implement, and verify controller design (classical and learning enabled) with respect to the system dyn…
Python Version of F-16 Maneuver Verification Benchmark
An environment based on JSBSIM aimed at one-to-one close air combat.
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
Common aircraft files for Operation Red Flag (OPRF)
Kelpie flight planner for FlightGear - the Rust veresion
Interface package to the FlightGear flight simulation software aimed at simplicity
TIGRIS: An Informed Sampling-based Informative Path Planner
A Hierarchical Task Network planner utilizing LLMs like OpenAI's GPT-4 to create complex plans from natural language that can be converted into an executable form.
Fast and flexible multi-agent gridworld reinforcement learning environments.
Applying Large-Scale Weakly-Supervised Automatic Speech Recognition to Air Traffic Control
A Corpus for Research on Robust Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications
Command Modern Operations Learning Environment
Python demo for the paper "Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning".
Informative path planning repository
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
[IROS-21] RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments (Code & Dataset)
Intel Neuromorphic DNS Challenge
Deep and online learning with spiking neural networks in Python
Paper list for SNN based computer vision tasks.
This is an event-driven version of MNIST dataset which can be used to evaluating spiking neural network's accuracy
Implementation of CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphi
High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.