Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...

Object detection in deep learning encompasses a range of approaches that identify and localise instances of semantic classes in images. Early methods relied on two-stage architectures, first ...

The novel technique is based on the VarifocalNet deep-learning object detection framework, which was reportedly tweaked to achieve quicker and more accurate results. Compared to other such methods, ...

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use of Unmanned Aerial Vehicles (UAVs) for real-world applications such ...

LINCOLNSHIRE, Ill.--(BUSINESS WIRE)-- Zebra Technologies Corporation (NASDAQ: ZBRA), a leading digital solution provider enabling businesses to intelligently connect data, assets, and people, today ...

Researchers developed an intelligent chicken freshness system that combines anthocyanin-based indicator films with an ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Autonomous vehicles hold the promise of tackling traffic congestion, enhancing traffic flow through vehicle-to-vehicle communication, and revolutionizing the travel experience by offering comfortable ...