We present a probabilistic method for noisy sensor based robotic navigation in dynamic environments. The method generates an optimal trajectory by considering as optimality criteria the probability of not colliding with the obstacles and the probability of accessing an operational position with respect to a moving target object. Estimates of the obstacle's kinematic parameters and measures of c...

This paper describes a mobile robot navigation method in dynamic environments. The method uses a real-time omnidirectional stereo which can obtain panoramic range information of 360 degrees. From this panoramic range information, the robot first estimates its ego-motion by comparing the current and the previous observations in order to integrate observations obtained at di erent positions. The ...

`A cognitive approach to urban dynamics' is proposed in this paper as a theorization of the dynamics of cities from the first principles of humans' cognitive capabilities. The aim is to initiate a discussion concerning the potential of such an approach. This is done by examining some of the cognitive processes that are relevant to cities and their dynamics, by considering some conceptual and me...

Orthology inference and other sequence analyses across multiple genomes typically start by performing exhaustive pairwise sequence comparisons, a process referred to as "all-against-all". As this process scales quadratically in terms of the number of sequences analysed, this step can become a bottleneck, thus limiting the number of genomes that can be simultaneously analysed. Here, we explored ...

Globally, the coronavirus (COVID-19) pandemic is disrupting way of life, affecting not only humans’ health, but also education sector and law pedagogy no exception. In South Africa, before COVID-19 pandemic, most pedagogies at universities were being conducted face-to-face. The has inadvertently exposed strengths weaknesses university in conducting pedagogies. Consequently, various educational ...

We propose a method for detecting general obstacles on a road by subtracting present and past in-vehicle camera images. Compared to the existing learningbased methods that could detect only specific obstacles, the proposed method based on image-subtraction could detect any kind of obstacles. To achieve this, the proposed method first realizes a frame-by-frame correspondence between the present ...

Road obstacles cause serious accidents that have a severe impact on driver safety, traffic flow efficiency and damage of the vehicle. Detecting obstacles are important to prevent or to reduce such kind of the accidents and fatalities. However, it is difficult and becomes tricky because of some problems like presence of shadow, environmental changes or a sudden action of any moving things (e.g.,...

This paper proposes a novel vector field navigation method by using the velocity vector of a robot to avoid obstacles in dynamic environment. Shifting vector and virtual obstacle are proposed to derive the center of repulsive field which makes the robot move away from the obstacle: The shifting vector is derived from the velocity vector of the robot and the obstacle and the virtual obstacle is ...

Node localization is a fundamental problem in wireless sensor network. There are many existing algorithms to estimate the locations of the nodes. However, most of the methods did not consider the presence of obstacles. In practice, obstacles will lead to blockage and reflection of communication signals between sensor nodes. Therefore, the presence of obstacles will greatly affect the localizati...