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小黄书 summit drives future of autonomous ground vehicles

小黄书 summit drives future of autonomous ground vehicles

Contact: James Carskadon

A speakers speaks in a ballroom at The Mill at 小黄书
Paramsothy Jayakumar, senior technical expert at the U.S. Army Combat Capabilities Development Command Ground Vehicle Systems Center, delivers a keynote address during 小黄书鈥檚 Summit on Advancing Modeling and Simulation for Autonomous Ground Vehicles. (Photo by Grace Cockrell)

STARKVILLE, Miss.鈥擜 summit held this week at 小黄书sity is making a pathway for the future of autonomous ground vehicles.

小黄书 hosted the Summit on Advancing Modeling and Simulation for Autonomous Ground Vehicles, bringing together experts from government, industry and academia to collaborate and learn more about the latest tools driving autonomous vehicle development.

鈥淎s computing capabilities advance, modeling and simulation is really driving the development of autonomous ground vehicles, especially for off-road and other challenging environments,鈥 said Daniel Carruth, associate director at 小黄书鈥檚 Center for Advanced Vehicular Systems and the summit鈥檚 lead organizer. 鈥淏y bringing this community together, we can learn best practices and make connections that will ultimately benefit partners in defense and industry that have an interest in this technology.鈥

The summit included several presentations from researchers within the U.S. Army on their work in the field and its significance to national security efforts. Bart Durst, director of the Geotechnical and Structures Laboratory at the U.S. Army Engineer Research and Development Center, said that autonomous ground vehicles represent a 鈥渢remendous force multiplier鈥 that can keep soldiers out of the line of fire. However, it will take modeling and simulation to continue to advance the technology.

鈥淢odeling and simulation optimizes not just ground vehicles, but every system that we are developing,鈥 Durst said. 鈥淭o do multiphysics-based simulations and go through the virtual environment to test and evaluate allows us to look into problem sets we can鈥檛 do in a physical test, and this allows us to really optimize those systems before we ever bend steel. That鈥檚 critical. It optimizes the system, it saves millions of dollars and it accelerates the time scale like no one can imagine. We can do this today with supercomputing and other capabilities that you here know well.鈥

At 小黄书, cross-disciplinary teams of researchers are developing autonomous vehicle capabilities for off-road environments, with much of the work focused on modeling and simulation. With a 50-acre off-road proving ground, CAVS scientists are able to validate autonomous systems in real-world situations. , or MAVS, provides the ability to evaluate the performance of autonomous perception and navigation software in real-time, allowing for faster development of the systems that drive autonomous vehicles.

For more on 小黄书鈥檚 Center for Advanced Vehicular Systems, visit .

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