Gimbal simulator for drone training

Multi-purpose, worldwide, operational

Simulate video camera sensors embedded on aerial drone. Designed for training and mission planning. Gimbalsim perfectly fits your operational needs.

Key features

Virtual globe

Gimbalsim is a virtual globe, meaning that the whole planet is available for your training missions.

Date & time

Choose the right day and the right time to prepare your mission. Train yourself at sunrise, noon or sunset.

Weather conditions

Change weather conditions to simulate several visibility constraints. This is the perfect feature to try flying under sunny / rainy / foggy / sandy days.

3D environment

Add buildings, trees and various 3D objects to fill your training environment. Gimbalsim is fully compliant with Digibati export formats. Imported 3D objects may contain embedded animations.

Mobile targets

Define mobile targets path to track them within the simulation. They can be aerial or terrestrial targets.

IR simulation

Gimbalsim comes with a builtin IR simulation capability.

System requirements

Use Gimbalsim on your everyday computer or your rugged laptop.

Minimum system requirements
  • Win 7+ / macOS 10.9+ / Ubuntu 16.04  – 64bits version
  • OpenGL 3.3+
  • 512 MB VRAM
  • Intel/AMD dual core 1.6GHz CPU
  • 15 GB hard-disk space
  • 4 GB RAM
Recommended system requirements

  • Win 7+ / macOS 10.9+ / Ubuntu 16.04 – 64bits version
  • OpenGL 4+
  • 1 GB VRAM
  • Intel/AMD multi-core 2.8GHz CPU
  • 20 GB hard-disk space
  • 8 GB RAM


Software integration

Gimbalsim is a C++ SDK that can be integrated within your ground station easily. Our support team helps you to speedup the integration process.


By default, Gimbalsim library is compiled thanks to the following toolchain:


MinGW 64 bits / GCC 7




GCC 4.7


For other toolchains (MSVC, …), or specific features, please contact us.