The increase in precision agriculture has promoted the development of picking robot technology, and the visual recognition ...

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on highly ...

Object detection in autonomous driving scenarios represents a significant research direction within artificial intelligence. Real-time and accurate object detection and recognition are crucial in ...

LLaMA-Unidetector consists of a two-stage algorithm, namely object localization and foreground recognition. Therefore, virtual environments were established respectively for the two stages.

We propose a visual Simultaneous Localization and Mapping (SLAM) algorithm that integrates target detection and clustering techniques in dynamic scenarios to address the vulnerability of traditional ...

Some frequent uses of object detection include self-driving automobiles, object tracking, face detection and identification, robotics, and license plate recognition. First, let’s have a peek at the ...

For object detection algorithms, too few features lead to missed detection; at the same time, affected by the background of the water surface (Fefilatyev et al., 2012), the tracking algorithm will ...

In the current state-of-art, computer vision is one of the emerging areas of artificial intelligence. Among the various branches of computer vision, object detection and recognition are the ...