Sökning: "Natural Sciences Computer and Information Science Computer Vision and Robotics Autonomous Systems"
Visar resultat 1 - 5 av 13 avhandlingar innehållade orden Natural Sciences Computer and Information Science Computer Vision and Robotics Autonomous Systems.
1. Safety-Aware Autonomous Systems : Preparing Robots for Life in the Real World
Sammanfattning : Real‐world autonomous systems are expected to be increasingly deployed and operating in real‐world environments over the coming decades. Autonomous systems such as AI‐enabled robotic systems and intelligent transportation systems, will alleviate mundane human work, provide new services, and facilitate a smarter and more flexible infrastructure. LÄS MER
2. Selected Functionalities for Autonomous Intelligent Systems in Public Safety Scenarios
Sammanfattning : The public safety and security application domain is an important research area that provides great benefits to society. Within this application domain, governmental and non‐governmental agencies, such as blue light organizations (e.g. LÄS MER
3. Unsupervised construction of 4D semantic maps in a long-term autonomy scenario
Sammanfattning : Robots are operating for longer times and collecting much more data than just a few years ago. In this setting we are interested in exploring ways of modeling the environment, segmenting out areas of interest and keeping track of the segmentations over time, with the purpose of building 4D models (i.e. LÄS MER
4. Vision Based Perception for Mechatronic Weed Control
Sammanfattning : The use of computer-based signal processing and sensor technology to guide and control different types of agricultural field implements increases the performance of traditional implements and even makes it possible to create new ones. This thesis increases the knowledge on vision-based perception for mechatronic weed control. LÄS MER
5. Embedded high-resolution stereo-vision of high frame-rate and low latency through FPGA-acceleration
Sammanfattning : 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. LÄS MER