Improved display (monitor) and graphics card support.Temporarily moved dynamic input to file input_a (rename it to a to get back the dynamic input behavior).Improvements on the g25/g27 input maps.Added small dead-zone to pedals on Fanatec wheel.This allows much more flexibility in terms of custom input mappings and alike. Added support for UTF characters in the device string.Removed gfx nulldevice: only useful for dedicated servers but not for the clients.Fixed window positioning in multi-monitor scenarios: not enforcing any positioning now.Regarding commercial and industrial licensing opportunities, please contact our team at documentation will be regularly updated to reflect newly developed and/or modified features. Academic customers are eligible to apply for free access to the full BeamNG.tech version on the following This facilitates data collection for learning based systems and allows validation and verification of autonomous driving software.īeamNG.tech is released under a mix of commercial and open-source licenses by BeamNG GmbH. 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. BeamNG.tech is a academia- and industry-oriented fork of BeamNG.drive.
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