Integration of multi-mode multi-band transceivers on a single chip will enable low-cost millimeter-wave systems for next-generation automotive radar sensors. The first dual-band millimeter-wave transceiver operating in the 22–29-GHz and 77–81-GHz short-range automotive radar bands is designed and implemented in 0.18m SiGe BiCMOS technology with of 200/180 GHz. The transceiver chip includes a du...

In this position paper, we address the problems that arise during the design phase of intelligent environments that make use of public situated displays for user assistance. We propose a new design process, which is based on an architectural model of the environment. It employs a toolkit that allows the designer of an intelligent environment to verify the visibility of displays from various vir...

Network survivability is a crucial requirement in high-speed optical networks. Typical approaches of providing survivability have considered the failure of a single component such as a link or a node. In this paper, we consider a failure model in which any two links in the network may fail in an arbitrary order. Three loopback methods of recovering from double-link failures are presented. The f...

An approach where a set of images can be simultaneously registered is presented such that these images are aligned both in their spatial coordinates as well as in their pixel values. Such an approach is capable of globally aligning a set of images to produce a panoramic scene with a common exposure and naturally addresses the misalignment problem common to pairwise registration approaches when ...

This paper addresses the problem of computing the three-dimensional path of a moving rigid object using a calibrated stereoscopic vision setup. The proposed system begins by detecting feature points on the moving object. By tracking these points over time, it produces clouds of 3D points that can be registered, thus giving information about the underlying camera motion. A novel correction schem...

Applying graph-theoretic concepts to solve computer vision problems makes it not only trivial to analyze the complexity of the problem at hand, but also existing algorithms from the graph-theory literature can be used to find a solution. We consider the challenging tasks of frame selection for use in mosaicing, and feature selection from Computer Vision, and Machine Learning, respectively, and ...

We present an application in topological map building and localization with a high resolution omnidirectional camera. A visual map uses sift features in combination with affinely invariant Harris corners as its feature points. We use an automatic scheme to find correspondences from a video sequence to create the map. Loop-back is also detected automatically while the map is built. For localizat...

This thesis presents a novel algorithm to iteratively compute camera paths of long image sequences. Scale Invariant Features are first extracted from the ordered set of images. These images are then matched pair-wise sequentially and correspondences are computed. An initial geometric path is found after by applying a bundle adjustment algorithm on these correspondences. Distances between camera...

Driven by increasing in the demand for cloud computing, providers are constantly seeking configuration mechanisms designed to simply install a reliable and easy-to-manage architecture—similar installing an operating system on computer using thumb drive. Accordingly, software components can be packaged into lightweight portable containers, then easily deployed managed through orchestration tools...