
BeamNG.drive is a 2015 sandbox vehicle simulation video game developed and published by Bremen-based video game developer BeamNG GmbH for Windows and Linux. The game features soft-body physics to simulate realistic handling and damage to vehicles. Initially released as a tech demo on August 3rd, 2013 along with paid access to an alpha, it was later made available on Steam Early Access for Windows on May 29th, 2015. BeamNG also develops a fork of the game designed for education as well as industrial and academic research entitled BeamNG.tech.
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BeamNG.drive is a 2015 sandbox vehicle simulation video game developed and published by Bremen-based video game developer BeamNG GmbH for Windows and Linux. The game features soft-body physics to simulate realistic handling and damage to vehicles. Initially released as a tech demo on August 3rd, 2013 along with paid access to an alpha, it was later made available on Steam Early Access for Windows on May 29th, 2015. BeamNG also develops a fork of the game designed for education as well as industrial and academic research entitled BeamNG.tech.
==Gameplay== BeamNG.drive features various gameplay modes and scenarios such as campaigns, time trials, as well as a free roam mode. Campaigns are collections of small scenarios based on specific themes, including races, chases and stunts. In time trials, the player selects a vehicle, map, and route, and competes against their own best time. In free roam, players can explore and experiment with maps, allowing them to operate, place, and manipulate objects and vehicles within the map. They can also change environmental properties such as gravity and wind. Players can utilize various objects ranging from road barriers to weapons such as cannons in order to inflict damage on other vehicles. Local multiplayer can also be enabled in any gameplay mode by connecting multiple controllers to the same system. An experimental VR mode is also available with the unstable and in development Vulkan renderer, allowing full stereoscopic 3D VR support.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).