Sigma DIL simulators 

Sigma Series

The Sigma series is our mid-range, full-size stationary DIL simulator for vehicle development, supporting applications such as expert driver assessments, ADAS and active safety calibration, V2X studies, and HMI evaluation. It delivers high-fidelity, human-centred vehicle simulation within a practical laboratory environment, accommodating all key features except large-scale motion.

Sigma features

Ansible Motion Sigma DIL simulators always include the following:

 

True-to-life Cabin

Either an Ansible Motion dynamic cabin or a modified real car that can be equipped with a full range of motion and sensory feedback systems.

Compatibility

A powerful, synchronous real-time computing environment with open and modular software architecture that ensures seamless compatibility with external DIL, HIL and SIL systems.

Open integration

With all major real time vehicle modelling tools, scenario environments and graphics pipelines.

High quality vision systems

Real-time vision graphics systems (via screen or HMD)

Future-proof

Future-proofing that ensures software and hardware expandability

On-going support

Worldwide lifecycle planning, logistics and support services

Sigma Platforms

 

Sigma case study

See how the University College London PEARL utilise their Ansible Motion Sigma Simulator

Sigma DIL configurations

Sigma DIL static simulators can be stand-alone, or they can be integrated with other Ansible Motion DIL simulators in multi-sim configurations.

Ansible Motion  (1)-1

Hub

Delta DIL dynamic simulator mock-up cabins are activated for static operation with a plug-and-play docking station. Common scenario: Otherwise idle dynamic simulator cabins can be actively used as static DIL simulators.

Hub Sport

Hub Sport

Delta DIL dynamic simulator mock-up cockpits are activated for static operation with a plug-and-play docking station, including Ansible Motion’s full motorsport data communication package. Common scenario: Otherwise idle dynamic simulator cockpits can be actively used as static DIL simulators, with the assurance that all cockpit and driver data is available. 

Custom

Custom

Mock-up cabin, custom-built by Ansible Motion or End User for special applications. Common scenario: Prototype cabins can be configured as DIL simulators. 

Fusion

Fusion

Real vehicle cabin, modified and fully integrated by Ansible Motion. Common scenario: Real vehicles can be converted into DIL simulators. 

Download the simulator catalogue

Sigma DIL simulators are powerful vehicle evaluation tools that are being used today, around the globe, to develop tomorrow’s vehicles today, as follows:

  • Test more scenarios, while simultaneously reducing costs and resource consumption
  • Eliminate costly late-development-stage design changes
  • Reduce prototyping rounds and time-to-market for new products
  • Enable human assessments and virtual sign-offs earlier and more often
  • Safely explore edge cases, challenging scenarios and push vehicle development boundaries
  • Connect seamlessly with existing simulation toolsets (HIL, SIL, etc.) without disruption
AML_20Sigma_20series_20DIL

Sigma series DIL simulator applications

Sigma DIL simulators integrate full-size vehicle cabins, immersive visual systems and supplemental cueing technologies to enable realistic virtual testing and human-in-the-loop evaluation across automotive development programmes.

 

Stay Up To Date With The Latest News

Open Integrations with DIL Simulators

Open Integrations with DIL Simulators

Mar 11, 2026 12:18:06 PM 12 min read
Motion Degrees of Freedom
Motion Degrees of Freedom

Motion Degrees of Freedom

Apr 20, 2023 1:15:00 PM 4 min read
How to Reduce Vehicle Development Costs in the Blink of an Eye
how-to-reduce-vehicle-development-costs-in-the-blink-of-an-eye

How to Reduce Vehicle Development Costs in the Blink of an Eye

Mar 31, 2020 1:25:18 PM 3 min read

get in touch

Whether you’re evaluating simulation for the first time or expanding an existing programme, we’ll help you assess what’s right for your needs.