Nature

Enhanced object detection in remote sensing images by applying metaheuristic and hybrid metaheuristic optimizers to YOLOv7 and YOLOv8

Utilizing the performance impact of different metaheuristic optimization models on the YOLO algorithm detection process of objects in remote sensing images. Li et al. 6 described developments in ...
Nature

Real time object detection using LiDAR and camera fusion for autonomous driving

Object detection is one of the most important tasks that needs to be handled robustly and accurately in autonomous driving. Understanding the driving environment is a prerequisite for safe path ...
The Next Web

Here’s how deep learning helps computers detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
Science Daily

Researchers detect and classify multiple objects without images

Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new ...
VentureBeat

Overview of deep learning architectures computers use to detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
New Electronics

STMicroelectronics' compact VL53L9 3D LiDAR module targets edge AI applications

STMicroelectronics has unveiled the VL53L9, a compact direct Time-of-Flight (dToF) 3D LiDAR module designed to support a wide ...