ADAS (Advanced Driver Assistance Systems) and AV systems use automated technology, such as sensors and cameras, to detect nearby obstacles or driver errors, and respond accordingly. They are developed to automate, adapt, and enhance vehicle systems for safety, maneuverability and improve customer driving experience.

These systems are gaining popularity as they reduce accidents and aid the driver to drive efficiently. They need to be tested for a wide range of conditions under which the system could fail to ensure efficient implementations on vehicles. This will require millions of miles of physical testing to validate the systems. Physical testing is not only expensive but also time-consuming. In order to effectively test and validate ADAS and AV systems for various failure conditions and test cases, simulations must be adopted.

Xitadel helps customers in creating virtual environments for reducing physical testing of vehicles with ADAS, Autonomous Driving and Active Safety systems and virtually simulating them. This involves simulations for homologation, testing, verification, and validation activities for various ADAS and Active Safety functionalities.



Adding to our expertise and capabilities in Vehicle Dynamics analyses, we provide high-fidelity, detailed simulation environments for testing and validation of ADAS and Autonomous Driving functionalities which include the following:



Diverse assets play an important role in the efficient training and testing of AV and ADAS systems. We provide digital props and assets (lamp posts, signboards, curbs, pedestrians, cyclists …) for your AV and ADAS simulation needs.


Digital Twin: International Roads

Along with our partners, we provide simulation environments which replicate international roads and infrastructure by acquiring road and surrounding information with the help of camera and GPS sensors.


Dynamic Weather & Lighting

ADAS & AV systems need to be effective and function in all weather conditions (rain, fog, snow …). Xitadel’s scenario creation expertise extends to scenarios with variable weather and dynamic lighting (sun position/ intensity, time of day/ night) to capture their effects on AV & ADAS functionalities.


Sensor Modelling

Accurate sensor models are key to perceive the environment and develop robust ADAS solutions. We leverage our capabilities in image processing, machine learning and artificial intelligence to develop camera sensor algorithms for ADAS/ AV applications.


Highway Scenario

Detailed and HD highway maps, features, lane markings and roads form the foundation of testing and simulation for ADAS systems like Lane Keep Assist & Automatic Emergency Braking. We provide realistic, detailed scenarios for highways for simulation of ADAS and Autonomous Driving.


Urban Scenario

Urban environments are key for Autonomous Vehicles testing as they contain vehicles, pedestrians, sidewalks, traffic signals and various other assets. We make use of our digital asset creation capability to create urban environments for large- scale ADAS/ AV simulations.


Geography - specific scenarios

Correlation of simulated ADAS & AV scenarios with physical tests is required to achieve confidence and carry out large-scale simulations .We provide diverse geographical real-world digital twins of scenarios (Europe, North America, Asia …) with regional assets and props to ensure repeatability of test cases for a wide range of parameter variations .

Virtual Homologation, Validation and Verification

Xitadel offers state-of-the-art simulations for virtual homologation, testing and validation of ADAS, Autonomous Driving and Active Safety Systems as per ISO, Euro NCAP, FMVSS and UN- ECE Regulations for following ADAS functionalities:


Lane Keep Assist

A camera/ sensor based assist system used to warn drivers about drifting away from the driving lane. Can also be used to steer the vehicle back into the lane based on its position.


Blind Spot Detection

A detection system which can detect vehicles and objects in the blind spot of a vehicle. Can also function as a warning system to help mitigate fatal accidents.


Adaptive Cruise Control

A semi-autonomous ADAS functionality aimed at aiding highway vehicles to maintain safe distance between each other and employ safe speed limits.


Overtake Assist

A sensor-based system designed to assist the driver to perform a safe overtaking maneuver by monitoring traffic in the adjacent lanes.


Anti-Lock Brake System

A differential braking system which improves the direction stability of the vehicle during braking maneuvers on various road conditions by preventing wheel lock-up.


Electronic Stability Control

A system which improves the lateral and rollover stability of the vehicle in cornering and emergency steering manoeuvres by employing either differential braking, steer–by-wire, or torque vectoring system

ADAS for Active Safety

In addition to carrying out pure vehicle dynamics control(MIL/SIL) simulations, Xitadel also helps customers to test ADAS based active safety systems such as Collision Avoidance System involving pedestrians, cyclists etc.


Automatic Emergency Braking

A sensor-based autonomous braking solution/ warning system to avoid and mitigate collisions and crashes with surrounding objects and vehicles.


Collision Detection

A sensor/ camera-based system which detects oncoming objects (traffic vehicles, pedestrians, cyclists) and alerts the driver of an imminent collision. This can also be extended over to add braking to mitigate crashes.

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