An Introduction to 3D User Interface Design

3D user interface design is a critical component of any virtual environment (VE) application. In this paper, we present a broad overview of three-dimensional (3D) interaction and user interfaces. We discuss the effect of common VE hardware devices on user interaction, as well as interaction techniques for generic 3D tasks and the use of traditional two-dimensional interaction styles in 3D environments. We divide most user interaction tasks into three categories: navigation, selection/manipulation, and system control. Throughout the paper, our focus is on presenting not only the available techniques, but also practical guidelines for 3D interaction design and widely held myths. Finally, we briefly discuss two approaches to 3D interaction design, and some example applications with complex 3D interaction requirements. We also present an annotated online bibliography as a reference companion to this article

FUSING RADAR AND VIDEO CAMERA INFORMATION FOR SEVEN DIMENSIONAL SCENE PERCEPTION

Radar sensor data can be fused with video camera data. Following fusion, the fused data may be further processed then output for use by some other software or hardware component of a system. Such an arrangement can be understood as seven dimensional (7D): three dimensional data present in the data from the camera sensor; three dimensional data present in the data from the radar sensor; and the additional dimension of time (from data from both sensors being gathered over time)

Displays take new shape: An agenda for future interactive surfaces

This workshop provides a forum for discussing emerging trends in interactive surfaces that leverage alternative display types and form factors to enable more expressive interaction with information. The goal of the workshop is to push the current discussion forward towards a synthesis of emerging visualization and interaction concepts in the area of improvised, minimal, curved and malleable interactive surfaces. By doing so, we aim to generate an agenda for future research and development in interactive surfaces

Embedding Radars in Robots for Safety and Obstacle Detection

A safety system is designed to use small, low-cost radars embedded in joints and end effectors of a robot to monitor an environment for potential safety hazards. In this way, the radars directly detect obstacles with respect to the moving parts of the robot. A safety controller analyzes the obstacle data provided by the radars and determines an appropriate operating state of the robot based on predefined safety requirements

An augmented reality interface for visualising and interacting with virtual content

In this paper, a novel AR interface is proposed that provides generic solutions to the tasks involved in augmenting simultaneously different types of virtual information and processing of tracking data for natural interaction. Participants within the system can experience a real-time mixture of 3D objects, static video, images, textual information and 3D sound with the real environment. The userfriendly AR interface can achieve maximum interaction using simple but effective forms of collaboration based on the combinations of humancomputer interaction techniques. To prove the feasibility of the interface, the use of indoor AR techniques are employed to construct innovative applications and demonstrate examples from heritage to learning systems. Finally, an initial evaluation of the AR interface including some initial results is presented

Closed-Loop Manufacturing System Using Radar

A closed-loop manufacturing system is designed to use small, low-cost radar to observe a manufacturing process and measure characteristics of a build product. The build data measured by the radar includes geometry, reflection characteristics, material density, and high resolution maps. A controller processes the build data to detect errors. Example errors include mistakes in geometry, delamination, curling, shrinkage, lack of material uniformity, air bubbles, inclusions, and contaminations in the build product. Based on the detected errors, the controller determines build corrections and reports the build corrections to the manufacturing process. Using radar, the closed-loop manufacturing system automatically detects and corrects errors, saving time and resources in additive and subtractive manufacturing

Embedding Radars in Robots to Accurately Measure Motion

A motion correction system is designed to use small, low-cost radars embedded in joints and end effectors of a robot to measure motion of the robot. In this way, the radars directly measure the robot’s motion and relative position and velocity with respect to a target. A motion correction controller analyzes the motion data provided by the radars and determines an amount of motion correction required to accurately position the robot

Standard Radar API: Proposal Version 0.1

This publication describes a radar API that enables different radar options to be used without changing higher level software layers. The radar API supports frequency-modulated continuous-wave (FMCW) radar and other radar types. The radar API also supports interleaved radar configurations, so that different features may use different burst configurations simultaneously. For example, the radar API may support a dual burst configuration, where a first configuration is optimized for the longest range and a second configuration uses a wider bandwidth optimized for better range resolution. Together, the burst configurations may run simultaneously so that the algorithms supporting different features may consume their optimal input stream