AirSimTensorFlow
Collision avoidance simulator
A Python-based system for training and testing collision avoidance neural networks using Microsoft AirSim data
A simple example of using Microsoft AirSim to train a TensorFlow neural net on collision avoidance
240 stars
16 watching
92 forks
Language: Python
last commit: over 6 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| A MATLAB simulation of model predictive control for vehicle collision avoidance. | 87 |
| A Python box model for simulating indoor environments and aerosol microphysics | 51 |
| A research framework for simulating coupled FEM and rigid body dynamics with real-time collision detection and optimization. | 28 |
| A utility to generate malicious network traffic patterns and evaluate security controls. | 1,271 |
| Simulates vehicle and robot dynamics in various environments | 302 |
| An open-source air traffic simulator that provides tools for researching and simulating air traffic without restrictions or limitations. | 396 |
| A multirotor simulator with MAVLink protocol support for flight simulation and testing | 89 |
| Simulates particle collisions and detects them efficiently using Rust. | 5 |
| A native extension library for adding physics simulation capabilities to Adobe AIR mobile and desktop applications | 40 |
| An adversarial simulation tool to test information security preparedness by simulating network-based attacks on various systems. | 1,103 |
| An AI testbed for Atari 2600 games in Python | 289 |
| A software framework for simulating complex transport networks across multiple locations and scenarios | 1 |
| A transportation simulator that allows users to build and manage their own transport network. | 435 |
| An environment for simulating wireless mobile networks and testing coordination algorithms | 115 |
| An interactive flight simulation that translates user arm movements into in-game actions using sensor data and WebSockets. | 19 |