Global challenges in agriculture demand continuous innovation, nowadays mostly driven by
digital farming solutions. Connected agricultural machines with telematics are already a …

The vehicle classification in congested traffic is a big challenge due to the difficulty to segment
packs of different vehicles that stand still next to each other or travel at a very low speed. …

This work utilizes the potential of NLP and machine learning for the challenging task of
human-machine communication. A task of robot movement is selected as the context of the …

This paper describes a system for detection and classification of moving objects based on
support vector machines (SVM) and using 3D data. Two kinds of camera systems are used to …

Real-time 3D map building and 3D motion estimation using only visual data are two challenging
problems which have been intensively studied by the machine vision community in the …

The growth of medical tourism in Thailand attracted many organizations to develop
applications for assisting traveler information. However, these applications may not satisfy all …

Motion estimation is one of the most important tasks for autonomous mobile robots. Modern
mobile robots are equipped with different types of visual sensors that can provide wide …

This work proposed an improvement for the visual odometry based on a new hardware design
concept. Generally, a visual odometry system relies on one stereo camera to detect the …

In this study, we aim at studying for an inexpensive-but-effective real-time localization and
identification of known buildings or large permanent structures within user's current position in …

Typically, the parameter identification process for robotic systems requires a symbolic
mathematical description of the inverse dynamics equation. The manual derivation of the inverse …