Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/47923
Title: Vehicle modeling in Unreal Engine 4
Authors: Sapienza, Francis
Parker, Michael W.
Bodie, Mark O.
Shoop, Sally A. (Sally Annette)
Keywords: Terrain mobility
Tracked vehicle
Unreal Engine
Vehicle modeling
Publisher: Engineer Research and Development Center (U.S.)
Series/Report no.: Miscellaneous Paper (Engineer Research and Development Center (U.S.)) ; no. ERDC/CRREL MP-23-4
Is Version Of: F. Sapienza, M. Parker, M. Bodie, and S. A. Shoop, “Vehicle Modeling in Unreal Engine 4,” in Proceedings of the ISTVS 20th International Conference, Montréal, Québec, Canada, September 20–23, 2020.
Abstract: Vehicle modeling software has presented considerable challenges in properly representing vehicle mobility in extreme conditions. We have recently been developing new vehicle models and scenes in Unreal Engine. Unreal Engine is best known as a video game creation platform focused on graphics and has relatively few options for real world accurate physics modeling. UE4 allows for lots of customization internally or via supplemental C++ code, so this can be mitigated by the addition of various functions to account for different situations a vehicle might be in. We have successfully implemented the following: accurately functioning wheeled vehicles, tracked vehicles, and created simulated and real world environments, downloaded through Geowatch heightmaps. Each environment can have various terrain conditions including soil, rock, snow, and sand applied across its surface. Modeling snow in these environments is of particular interest and recent motion resistance and sinkage models have been integrated into the software to affect graphics and vehicle performance. This new model for vehicle mobility offers an opportunity to improve the physics and graphics of differing terrains especially for winter conditions. The new model also allows for features to be updated and added with ease in the future.
Description: Miscellaneous Paper
Gov't Doc #: ERDC/CRREL MP-23-4
Rights: Approved for Public Release; Distribution is Unlimited
URI: https://hdl.handle.net/11681/47923
http://dx.doi.org/10.21079/11681/47923
Appears in Collections:Miscellaneous Paper

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