CAPE CANAVERAL, Fla. -- As more and more space junk comes crashing down, a new study shows how earthquake monitors can better track incoming objects by tuning into their sonic booms.

Abstract: There are two mainstream approaches for object detection: top-down and bottom-up. The state-of-the-art approaches are mainly top-down methods. In this paper, we demonstrate that bottom-up ...

Abstract: The deep neural network (DNN) models are widely used for object detection in automated driving systems (ADS). Yet, such models are prone to errors which can have serious safety implications.