Research students at LSU are working to decrease intersection crashes through implementing an artificial intelligence algorithm that can quickly detect and react to traffic lights.

Sensor and Data Collection ADAS/AD relies heavily on perception sensors like cameras, radars, LiDARs, ultrasonics, and, more ...

(3) he Minimum Point Distance Intersection over Union loss ... which demonstrates the effectiveness of the improved algorithm (e.g., YOLO-SGF, Guo-Net, TRC-YOLO) in small-object detection and provides ...

The 18-year-old won $250,000 for training a machine learning model to analyze understudied data from NASA's retired NEOWISE ...

Patent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...

Purdue engineers are developing CT-Bound and MetaHDR, imaging technologies with applications as broad as medical imaging, ...

With the help of Caltech scientists, Matteo Paz refined his algorithm to recognize subtle patterns in infrared data. This collaboration led to the detection of 1.5 million potential objects ...

BENGALURU: Researchers at the Indian Institute of Science (IISc) have developed an innovative solution to a persistent challenge in Mixed Reality (MR) technology for industrial applications: the ...

Abstract: Object detection in low-light scenarios has a wide range of applications, but existing algorithms often struggle to preserve the scarce low-level features in dark environments and exhibit ...