Drivable path detection using CNN sensor fusion for autonomous driving in the snow A companion video to the SPIE research from Rawashdeh's lab shows how the artificial intelligence (AI) network ...

AI and machine learning are driving a paradigm shift in flood monitoring by automating data analysis, enhancing predictive ...

Nuclear fusion offers limitless energy potential. UKAEA's initiatives focus on overcoming challenges to make fusion a viable solution for global power needs.

This tri-sensor setup leverages the strengths of all three: radar’s range and speed detection, the camera’s object recognition, and lidar’s spatial precision.

To reach Level 5 autonomy, autonomous vehicles will rely on sensor fusion to provide the immense amount of data needed for spatial awareness. Currently, two architectures stand ...

The goal of sensor fusion at the highest levels is to make decisions using the best possible data. This is critical for those high-level system that need to make life-and-death decisions — advanced ...

Accurately detecting and gaining context from human presence often requires pairing multiple sensors together. This article explores the key factors behind human presence detection, the importance ...

PURPOSEGene fusions play a significant role in cancer etiology, making their detection crucial for accurate diagnosis, prognosis, and determining therapeutic targets. Current diagnostic methods ...

Using sensor fusion, Rawashdeh and Bos want autonomous sensors to collectively figure out the answer -- be it elephant, deer or snowbank.