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Robust and accurate navigation of underwater vehicles is an essential cornerstone for mission success. Integrative techniques, e.g., using inertial navigation or Doppler velocity logs (DVL), can show significant drift. Even absolute input, such as GNSS input or magnetometers, can either be biased by surrounding structures or very noisy. For good navigation performance in critical maneuvers close to...
This paper presents a methodology for reducing error in large rotation using an omnidirectional camera based on bundle adjustment technique. One of the most traditional problems of motion estimation method is accumulative error. The advantage of omnidirectional camera is that allows tracking landmarks in large rotation and long travel. The minimal error is applied on set of sequent images so that...
This study proposes a new method to automatically estimate a person's mental workload (MWL) using a specific type of eye movements called saccadic intrusions (SI). Previously, the most accurate existing method to estimate MWL was the pupil diameter measure [1]. However, pupil diameter is not practical in a vehicle driving environment because it is overly sensitive to brightness changes. A new method...
This paper addresses the problem of AUV navigation by showing the feasibility of a stereo visual-inertial approach to odometry retrieval for an AUV. This information is intended as input for a complete SLAM system. After its classification among many other similar approaches in recent work is shown, the algorithm is described in detail. A number of experiments conducted on synthetic data show the...
In this paper we propose an automatic vehicle tracking method for monitoring traffic intersections. The method uses a weighted combination of low-level features and low-level human-visual-system (HVS) modeling. Given an input video, moving vehicles are first detected from the scene and low-level features are extracted from the detected vehicles. Next, each detected region in the current video frame...
Automatic detection of vehicle incident by computer vision is one of the most important fields of video surveillance. In this paper, we propose a plane-geometry model to understand the vehicle behavior based on the visual information. The geometrical center of the vehicle-in-video object has different characters in different incidents. The vehicle objects of video are obtained by a background modeling...
In this paper, it is shown that synthetic images can be used to test specific use cases of a lane tracking algorithm which has been developed by Audi AG. This was achieved by setting up a highly configurable and extendable simulation framework ldquovirtual test driverdquo. The main components are a traffic simulation, visualization and a sensor model which supplies ground truth data about the street...
This paper introduces a novel method for vehicle pose estimation and motion tracking using visual features. The method combines ideas from research on visual odometry with a feature map that is automatically generated from aerial images into a visual navigation system. Given an initial pose estimate, e.g. from a GPS receiver, the system is capable of robustly tracking the vehicle pose in geographical...
This paper presents a virtual prototyping (VP) system for digital fabrication of automobile environment to facilitate rapid visibility evaluation. The system comprises a suite of software packages for image generation and hardware control processes, including driving environment simulation, vision examination, integrated with eye-tracking and position tracing system based virtual reality (VR) technology...
This paper presents an architecture to support fast prototyping of augmented reality systems, based on virtual reality. The architecture defines simulation services separated from other aspects of the system. These services support incremental evolution of simulated prototypes into nonsimulated systems. Focus is also placed on user interaction,through the definition of an interaction architecture...
We have developed a browsing tool for visualizing information about geographic surfaces using map-based augmented reality (AR). Map-based AR technology enables virtual objects to be overlaid on an actual map, creating a tangible user interface. In map-based AR applications, a virtual lens pointer is often used for object selection. However, this type of interaction is difficult when there are many...
Traffic visual tracking technology is currently one of the most active research topics in the domain of visual tracking. Normally, motion object segmentation, object classification, object tracking and behavior understanding are involved in traffic visual tracking technology. This paper firstly reviews the research contents as well as states of the traffic visual tracking technology from the four...
Power line inspection is a vital function for electricity supply companies but it involves labor-intensive and expensive procedures which are tedious and error-prone for humans to perform. A possible solution is to use an unmanned aerial vehicle (UAV) equipped with video surveillance equipment to perform the inspection. This paper considers how a small, electrically driven rotorcraft conceived for...
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