The paradigm case for robotic mapping assumes large quantities of sensory information which allow the use of relatively weak priors. In contrast, the present study considers the mapping problem in environments where only sparse, local sensory information is available. To compensate for these weak likelihoods, we make use of strong hierarchical object priors. Hierarchical models were popular in ...

Despite impressive advances in simultaneous localization and mapping, dense robotic mapping remains challenging due to its inherent nature of being a high-dimensional inference problem. In this paper, we propose a dense semantic robotic mapping technique that exploits sparse Bayesian models, in particular, the relevance vector machine, for highdimensional sequential inference. The technique is ...

We propose a novel, hybrid SLAM system to construct a dense occupancy grid map based on sparse visual features and dense depth information. While previous approaches deemed the occupancy grid usable only in 2D mapping, and in combination with a probabilistic approach, we show that geometric SLAM can produce consistent, robust and dense occupancy information, and maintain it even during erroneou...

Clusters are geographically close groups of related companies or institutions related to a certain area which are inherently more efficient than the other companies due to advantages such as being located in one place, networks, external knowledge, variability of human capital, etc. Today, development through clusters plays a pivotal role in the economic and industrial policies of developed...

We present a mathematical model for a UAV-based, multi-sensor data integration. As a background, we first discuss the design and the implementation of a low-cost civilian UAV system, including its field flight validation, system calibration, and mapping accuracy evaluation. Then, this photogrammetry-based mathematical model is developed. The field flight tests demonstrate that the designed low-...

The problems of mapping and load balancing applications on arbitrary networks are considered. A novel diiusion algorithm is presented to solve the mapping problem. It complements the well known diiusion algorithms for load balancing which have enjoyed success on massively parallel computers (MPPs). Mapping is more diicult on inter-connection networks than on MPPs because of the variations which...

Ferrogels consist of magnetic colloidal particles embedded in an elastic polymer matrix. As a consequence, their structural and rheological properties are governed by a competition between magnetic particle-particle interactions and mechanical matrix elasticity. Typically, the particles are permanently fixed within the matrix, which makes them distinguishable by their positions. Over time, part...

By integration of the basic functions of both a standard keyboard controller and the key matrix of a scan code, we provide a compatible design for both keyboards and mice. The key matrix of a scan code consists of 16 output pins by 8 input pins, which can support up to 128 keys. Usually, we can build a matrix table based on the mapping relationship between the column and the row of a ROM/RAM. I...