Search for dissertations about: "Vision 2020"
Showing result 1 - 5 of 55 swedish dissertations containing the words Vision 2020.
-
1. Learning for Task-Oriented Grasping
Abstract : Task-oriented grasping refers to the problem of computing stable grasps on objects that allow for a subsequent execution of a task. Although grasping objects in a task-oriented manner comes naturally to humans, it is still very challenging for robots. Take for example a service robot deployed in a household. READ MORE
-
2. Embedded high-resolution stereo-vision of high frame-rate and low latency through FPGA-acceleration
Abstract : Autonomous agents rely on information from the surrounding environment to act upon. In the array of sensors available, the image sensor is perhaps the most versatile, allowing for detection of colour, size, shape, and depth. For the latter, in a dynamic environment, assuming no a priori knowledge, stereo vision is a commonly adopted technique. READ MORE
-
3. Robot Manipulation Planning Among Obstacles: Grasping, Placing and Rearranging
Abstract : This thesis presents planning algorithms for three different robot manipulation tasks: fingertip grasping, object placing and rearranging. Herein, we place special attention on addressing these tasks in the presence of obstacles. READ MORE
-
4. Computer Vision without Vision : Methods and Applications of Radio and Audio Based SLAM
Abstract : The central problem of this thesis is estimating receiver-sender node positions from measured receiver-sender distances or equivalent measurements. This problem arises in many applications such as microphone array calibration, radio antenna array calibration, mapping and positioning using ultra-wideband and mapping and positioning using round-trip-time measurements between mobile phones and Wi-Fi-units. READ MORE
-
5. Detection and Classification Multi-sensor Systems : Implementation of IoT and Systematic Design Approaches
Abstract : The detection and classification of features or properties, which characterize people, things or even events can be done in reliable way due to the development of new technologies such as Internet of Things (IoT), and also due to advances in Artificial Intelligence (AI) and machine learning algorithms. Interconnection of users with sensors and actuators have become everyday reality and IoT, an advanced notation of a Multi-sensor System, has become an integral part of systems for assessment of people’s habits and skills as well as the evaluation of quality of things or events' performances. READ MORE