Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

SARIVA : Smartphone APP for Real-time Intelligent Video Analytics

Clarke C., Angelov P., Yusufu M., Sadeghi-Tehran P.

Journal of Automation Mobile Robotics and Intelligent Systems

2014

Vol. 8, No. 4

15--19

This paper presents the design, implementation and evaluation of a new smartphone application that is capable of real-time object detection using both stationary and moving cameras for embedded systems, particularly, the Android smartphone platform. A new object detection approach, Optical ORB, is presented which is capable of real-time performance at high definition resolutions on a smartphone. In addition, the developed smartphone application has the ability to connect to a remote server and wirelessly send image frames when moving objects appear in the camera’s field of view; thus, allowing the human operator to only view video frames that are of interest. Evaluation experiments show a capability of achieving real-time performance for high definition (HD) resolution video.

Intelligent leader-follower behaviour for unmanned ground-based vehicles

Sadeghi-Tehran P., Andreu J., Angelov P., Zhou X.

Journal of Automation Mobile Robotics and Intelligent Systems

2011

Vol. 5, No. 1

36-46

In this paper an autonomous leader-follower is presented and tested in an unknown and unpredictable environment. Three different types of controller named as First principles-based proportional (P) controller, Fuzzy Logic Controller, and Model-based Predictive Controller are developed and tested in real-time to provide a smooth following behaviour. The follower used the leader's status sent by a smart phone to differentiate between obstacles and the leader and then using two types of sensor, laser and sonar, during the obstacle avoidance procedure. In order to identify the leader again out of many obstacles around, two alternative techniques are proposed using superposition of the scans collected by the laser and predicting the leader's trajectory using evolving Takagi- Sugeno (eTS). At the end, experiments are presented with a real-time mobile robot at Lancaster University.