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Generally, underwater hull inspection have been conducted by human divers. It is an extremely dangerous task, and hence, can be a potential application for unmanned underwater vehicles. The operational safety and performance of in-water inspection can be significantly improved by introducing unmanned vehicle systems. This study addresses the development of an hover-capable autonomous underwater vehicle...
Augmented reality (AR) is an emerging technology that superimposes digital information directly on top of a user's real world view. AR may have great potential for aiding safe marine navigation, however the devices currently available have significant limitations that prevent them from being practical for marine usage. While suitable devices are still a few years away from the market, we propose that...
This work presents the development and validation of a natural interaction method in an immersive CAVE environment. The Microsoft Kinect was used to track the user actions, but only the infrared camera of the device was used, through a gesture recognition model developed by (LEITE, 2015). From such gesture recognition, a nre grammer was defined, as needed for an immersive environment such a the CAVE...
This paper describes the implementation of a 3D handheld scanning approach based on Kinect. User may get the 3D scans at a very fast rate using real time scanning devices like Kinect. These devices have been utilized in several applications, but the scanning lacks in the accuracy and reliability of the 3D data, which makes their employment a difficult task. This research proposed the 3D handheld scanning...
In order to meet the requirement of autonomous navigation in deep space exploration, this paper presents a novel visual navigation method. The visual navigation algorithm based on single feature matching is a common visual method to calculate the attitude and position of a lander. However, the algorithm based on feature line matching or crater matching is great limited due to the feature line extracted...
In this study, a quasi-panoramic bio-inspired eye dedicated to optic flow measurement on board micro flying robots is presented. It will allow future micro flying robots to mimic honeybees' navigational tasks which work without any metric sensors. An innovative optic flow-based algorithm was tested in the horizontal plane to measure the robot's incidence angle when travelling along a wall. Experimental...
Although AR technology has been largely dominated by visual media, a number of AR tools using both visual and auditory feedback have been developed specifically to assist people with low vision or blindness – an application domain that we term Augmented Reality for Visual Impairment (AR4VI). We describe two AR4VI tools developed at Smith-Kettlewell, as well as a number of pre-existing examples. We...
During programming, end-user developers constantly go to search engines to seek for information. The search engine is of significant help since it ranks the webpage links according to relevance. However, the time cost of foraging a webpage also affects if and how soon a developer can obtain a satisfying answer. In this paper, we use operationalizable constructs from Information Foraging Theory to...
We present an eye-tracking study centered on the shift of focus from digital to physical layer in case of a handheld magic-lens system. In particular, we investigate which variables might affect the occurrence of such events. The experiment involved 35 participants who used a tablet AR application to explore structural behaviour through problem solving exercises. The tablet augmented the physical...
The introduction of Head-Up-Displays (HUDs) have opened up avenues for a whole range of novel AR applications. However, until these applications become available for the mass market a number of problems need to be tackled. For example, the field of view (FoV) of current HUDs is extremely limited, and real world tracking and 3D reconstruction are still not precise enough to show driving information...
Currently, front-end web developers spend countless hours overcoming programming challenges while debugging unexpected asynchronous behaviors, writing code to interact with a framework's API, or fixing faults. Such problems demand rethinking programming tools, and for that, we systematically analyzed 301 posts from Stack Overflow, and sought to identify the programming activities developers struggled...
The level of automated unmanned surface vehicle is always dependent on human interactions. An automated collision avoidance approach is proposed which is based on the visual system in order to improve it. Deep convolutional neural network (CNN) is a popular deep neural network for pattern recognition. Three types of encounter scenes are created and recorded which are used as the CNN training samples...
Omnidirectional images describe the color information at a given position from all directions. Affordable 360° cameras have recently been developed leading to an explosion of the 360° data shared on social networks. However, an omnidirectional image does not contain interesting content everywhere. Some part of the images are indeed more likely to be looked at by some users than others. Knowing these...
We present a new tool to help students make use of video recordings of traditional chalkboard and whiteboard lectures. Our tool provides a compact summary of a chalkboard lecture in the form of a set of slides, and an interactive environment for electronic note-taking in real time while watching a lecture in class or during review. Key to the processing of a chalkboard video by our system is the removal...
The paper describes human-interactive robot that supports gait training base on autonomous evaluation and navigation of human body movements. Robotic intervention in gait training is a promising method for prospective rehabilitation. In literature, gait training platforms such as power assisting limbs and body supporting mobile platforms have been studied well. These types of platforms, however, mainly...
Program navigation is a critical task for software developers. State-of-the-art tools have been shown to support effective program navigation strategies, and do so by adding widgets, secondary views, and visualizations to the screen. In this work, we build on prior work by exploring what types of navigation can be supported with relatively few interface elements. To that end, we designed and implemented...
This paper describes a human-in-the-loop evaluation of a power plant Human-Machine Interface (HMI), that was designed using a User-Centered Design approach. General Electric (GE) developed ActivePoint∗ HMI (AP HMI) to increase plant operator efficiency and awareness. UCD was applied as a design process along with existing industry design guidelines and other design approaches. The goal of the evaluation...
A crucial capability of real-world intelligent agents is their ability to plan a sequence of actions to achieve their goals in the visual world. In this work, we address the problem of visual semantic planning: the task of predicting a sequence of actions from visual observations that transform a dynamic environment from an initial state to a goal state. Doing so entails knowledge about objects and...
This paper presents a novel strategy addressing visual SLAM with enhancement of data association method. Hyper graph theory and transformation was incorporated within cooperative visual SLAM. The research presented a synthetic approach to fulfill a cooperative data association and fusion strategy for multiple UAVs equipped with stereo vision cameras encountered with indistinct imaging, where conventional...
With the development of logistics industry, the logistics automated warehouse is ahead in the race toward the direction of multi-user, multi-variety and flexibility automated warehouse. Traditional AGVs (automatic guided vehicle) are difficult to meet the new demands of logistics warehouse. This paper presents a method to extract the deviation of AGV's navigation path based on threshold segmentation...
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