As the demands increases, the detection and monitoring of motion are increasingly recognized as significant features in every vision system designed to operate in an uncontrolled, indoor environment. From the autonomous navigation and execution of tasks that require interaction with the environments, to simple monitoring, position detection is considered essential. Due to the variety of the system requirements, several detection approaches have been implemented based on indoor or outdoor sensors. However, one of the most important cases of external sensors are cameras. This dissertation aims to introduce the usage of visual patterns as landmarks to detect the pattern’s exact position by a camera system located in the environment. This attempt could be possibly considered as the main contribution of this thesis, since it introduces a universal way of position detection that can be integrated in various systems regardless of type and task to be implemented. To achieve these goals, three patterns were created, -one with LEDs, one with colors and QR codes, which are based on different recognition principles in order to conclude which one results to more accurate detection over a wide range of conditions. The methodology built has proven to be effective and highly accurate during the experimental process on a small scale environment for all different patterns.

3. Εισαγωγή
Περιγραφή του προβλήματος
Σκοπός της διπλωματικής εργασίας
Θεωρητικό Υπόβαθρο
Μεθοδολογία
Βαθμονόμηση καμερών
Οπτικά μοτίβα
Εύρεση σχετικής θέσης κάμερας-μοτίβου
Επικοινωνία καμερών
Πειράματα & Αποτελέσματα
Εντοπισμός σχετικών θέσεων των καμερών
Εύρεση θέσεων των μοτίβων
Συμπεράσματα
Μελλοντική Εργασία