Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...

The automotive industry continues to be a hotbed of innovation, with activity driven by developments in artificial technology and machine learning, and growing importance of technologies such as ...

There was a time when self-driving cars taking over the roads was a distant vision. Today, the situation has changed dramatically. Although autonomous vehicles (AVs) took longer than expected to make ...

The proposed framework will enable robots to accurately and more efficiently handle complex objects, while also advancing augmented reality technologies to support more lifelike hand-object ...

A new AI-powered framework has been developed, offering new capabilities for the real-time analysis of two hands engaged in manipulating an object. A research team led by Professor Seungryul Baek from ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...