The library implements a scenario-based approach: In a script, the user configures vehicles and defines the sensor setup. Each sensor can be customised to meet the individual needs of different applications.īeamNGpy is the official open-source Python interface for BeamNG.tech.

This is possible thanks to our sensor suite which is typical in autonomous driving, and comprises camera, LIDAR, ultrasonic, electrics, and IMU sensors. The BeamNG.tech version offers features which are more appropriate in a research context than in a gaming one (BeamNG.drive) since it provides driving simulation software, virtual tests for the development and testing of autonomous vehicles, ADAS and vehicle dynamics. It focuses on ground-based road-vehicle simulation but also offers air and maritime simulation using mods from the gaming community (BeamNG.drive). BeamNG.tech is organised around the simulation, and provides BeamNGpy - a Python layer which supports automated generation and execution of test scenarios, a vehicle control interface, a collection of simulation data for training procedural content generation, as well as validation and verification. In content and features, it largely overlaps with BeamNG.drive, and offers additional functionality to support driver training simulators and the development of advanced driver-assistance systems (ADAS).īeamNG develops a custom soft-body physics engine, which serves as a backbone for a sandbox vehicle simulator. It allows simulation of unique situations not covered in other real time simulators which provides more accurate driving dynamics (weight distribution, force propagation, friction, is a academia- and industry-oriented fork of BeamNG.drive. The BeamNG physics engine is using a bottom-up approach representing complex interactions in real time. This flexibility means future drivers can work on their areas of weakness, or test themselves against sophisticated AI traffic scenarios. Level and scenario customization tools can be taken advantage of in order to cater to the trainee. Trainees don’t need to feel limited to just the standard environments provided. It’s this level of Intricacy and detail that makes the program so effective. That’s why BeamNG’s urban environments replicate real-world cities from Europe and America, allowing trainees to safely explore genuine obstacles and develop their skills. It’s crucial to provide an authentic challenge when training drivers.

Beamng drive tech demo v4