Accuracy

Dynamic Importance-Weighted Fusion Network Based on Dynamic Convolutions for Hand Posture Recognition: A Technique Based on Red, Green, Blue Plus Depth Cameras

Hand posture recognition technology makes humancomputer interaction more natural and efficient. Existing hand posture recognition algorithms are mainly based on RGB images or depth data, each of which has its limitations: the former is susceptible to the interference of lighting and background color, while the latter is difficult to capture details and affects accuracy. To … [Read more...] about Dynamic Importance-Weighted Fusion Network Based on Dynamic Convolutions for Hand Posture Recognition: A Technique Based on Red, Green, Blue Plus Depth Cameras

Autonomous excavator systems can alleviate the issues caused by the shortage of skilled labor forces and increasing labor costs. For autonomous excavation, real-time landscape estimation, excavation path generation, control, and precise landscape inspection are all essential. In this article, we propose and experimentally validate an integrated autonomous excavator system … [Read more...] about Towards Fully Integrated Autonomous Excavation: Autonomous Excavator for Precise Earth Cutting and Onboard Landscape Inspection

There are many examples of cases where access to improved models of human behavior and cognition has allowed the creation of robots that can better interact with humans, and not least in road vehicle automation, this is a rapidly growing area of research. Human–robot interaction (HRI) therefore provides an important applied setting for human behavior modeling—but given the vast … [Read more...] about Models of Human Behavior for Human–Robot Interaction and Automated Driving: How Accurate Do the Models of Human Behavior Need to Be?