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 ...

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, ...

To address this challenge, this paper proposes a 3D object detection algorithm SP-Pillars that can effectively learn point cloud features. Firstly, a Pillar Feature Weighted Network (PFWNet) is ...

Abstract: A route planning algorithm based on semantic object detection technology is proposed to improve the safety of robots in indoor environments. This algorithm combines twodimensional laser ...

IISc researchers have pinpointed a brain region crucial for solving visual tasks based on properties like symmetry and ...

For maskrcnn-benchmark code, please follow INSTALL.md for instruction. For FCOS code, please follow INSTALL.md for instruction. For Detectron2 code, please follow INSTALL.md for instruction. Since we ...

This repository builds an end-to-end multi-class, multi-object image detector using RCNN which is a popular algorithm for object detection.

May 2, 2025 — A watched pot never boils, goes the old saying, but many of us have at least kept an eye on the pot, waiting for the bubbling to start. It's satisfying to finally see the rolling ...