We proposed FPN-\(\alpha\), which enhances multi-scale feature learning in FPN by introducing a learnable fusion factor \(\alpha\) in top-down connections and dynamically controls the degree to which ...

Efficient feature representation is critical for accurate visual perception in autonomous vehicles. Existing two-stage object detection methods often suffer from feature interference between candidate ...

Researchers have designed an intelligent household robot capable of autonomous navigation, object detection, and sorting. This robot, equipped with advanced technologies like depth cameras, YOLOv11 ...

Explore how self driving cars and autonomous vehicles use self driving car sensors, lidar radar cameras, and autonomous driving technology to perceive roads, make decisions, and enhance safety.

Awarded $1.3 Million U.S. Army Contract For AI Threat Detection On Autonomous Ground Vehicles. Safe Pro Group (NASDAQ: SPAI), announced it has received a $1.3 million U.S. Army subcontract from a lead ...

The AV sector is expanding due to a number of causes. First off, vehicles are becoming smarter and safer due to improvements in AI and machine learning. In order to speed up development, governments ...

The global Automotive AI Chipset Market is entering a rapid growth phase as automakers, semiconductor companies, and mobility ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...