How should a vehicle he driven to minimise fuel consumption? In this paper we consider the case where a train is to be driven along a straight, level track, but where speed limits may apply over parts of the track. The journey is to be completed within a specified time using as little fuel as possible. For a journey without speed limits, the optimal driving strategy typically requires full powe...

Background: In the context of Warehouse Management Systems, knowledge related to motion trajectory prediction methods utilizing machine learning techniques seems be scattered and fragmented. Objective: This study seeks fill this research gap by using a systematic literature review approach. Methods: Based on data collected from Google Scholar, was performed, covering period 2016 2023. The drive...

This paper proposes motion prediction in single still images by learning it from a set of videos. The building assumption is that similar motion is characterized by similar appearance. The proposed method learns local motion patterns given a specific appearance and adds the predicted motion in a number of applications. This work (i) introduces a novel method to predict motion from appearance in...

Visual-Inertial Odometry (VIO) utilizes an Inertial Measurement Unit (IMU) to overcome the limitations of Visual Odometry (VO). However, the VIO for vehicles in large-scale outdoor environments still has some difficulties in estimating forward motion with distant features. To solve these difficulties, we propose a robust VIO method based on the analysis of feature confidence in forward motion e...

A new global motion estimation technique for sprite coding is presented in this paper. The proposed system manages to accurately register frames to a sprite without referencing the sprite. This allows motion estimation process to be performed in an environment free from the adverse influence of the sprite which is usually blurred by the erroneous motion estimation. Furthermore, our proposed sys...

We study the effect of non-radial motions, originating from the gravitational interaction of the quadrupole moment of a protogalaxy with the tidal field of the matter of the neighboring protostructures, on the angular correlation function of galaxies. We calculate the angular correlation function using a Standard Cold Dark Matter (hereafter SCDM) model (Ω = 1, h=0.5, n = 1) and we compare it wi...

K Ito s stochastic calculus is a collection of tools which permit us to perform opera tions such as composition integration and di erentiation on functions of Brownian paths and more general random functions known as Ito processes As we shall see Ito calcu lus and Ito processes are extremely useful in the formulation of nancial risk management techniques These notes are intended to introduce th...

In this paper, we propose Intention from Motion, a new paradigm for action prediction where, without using any contextual information, we can predict human intentions all originating from the same motor act, non specific of the following performed action. To this purpose, we have designed a new multimodal dataset consisting of a set of motion capture marker 3D data and 2D video sequences where,...