Nathir Rawashdeh was quoted by Digital Engineering 24/7 in a story about artificial intelligence and simulation software helping engineers test autonomous vehicles’ driving in bad weather.
Rawashdeh is assistant professor in the Department of Applied Computing, an affiliated assistant professor in the Department of Electrical and Computer Engineering, and a member of the Institute of Computing and Cybersystems (ICC).
Rainmakers for Autonomous Driving
Nature presents a major obstacle when engineers test autonomous driving in bad weather. You cannot invoke a snowy, rainy or sunny day on demand; nor can you summon up a thunderstorm at your engineering team’s convenience—at least you can’t in the real world. But you can in the virtual world where you control the pixels. This has now become a growing business segment for simulation software makers.
“Sensor and computing technologies are rapidly evolving and changing in an engineering sense, which requires continuous updating of noise simulation and sensor degradation models to serve the ADAS community of engineers and researchers,” Rawashdeh says.