Intelligent Autonomous Systems 17
Proceedings of the 17th International Conference IAS-17
Chapter and Conference Paper
Reliable and accurate ego-motion estimation constitute an integral part of any autonomous system. To achieve this, it is essential to integrate sensors of complementary characteristics while also minimizing co...
Chapter and Conference Paper
Validation and testing based on simulated scenarios is at the heart of the automotive industry for all vehicle development phases, since it enables perfect repeatability of the experiments and control of certa...
Book and Conference Proceedings
Chapter and Conference Paper
Perception of autonomous robotic systems is highly dependent on accurate data fusion of multiple heterogeneous sensors. However, to maximally exploit the advantages of such setups, sensor data fusion necessita...
Chapter and Conference Paper
As robots are becoming more and more ubiquitous in human environments, it will be necessary for robotic systems to better understand and predict human actions. However, this is not an easy task, at times not e...
Chapter and Conference Paper
The essential property that every autonomous system should have is the ability to localize itself, i.e., to reason about its location relative to measured landmarks and leverage this information to consistent...
Chapter and Conference Paper
The rapid growth of e-commerce increases the need for larger warehouses and their automation, thus using robots as assistants to human workers becomes a priority. In order to operate efficiently and safely, ro...
Chapter and Conference Paper
In this paper we present a Cooperative Cloud SLAM on Matrix Lie Groups ( \(\text {C}^2\text {LEARS}\) ...
Chapter and Conference Paper
Detection and tracking of moving objects with camera systems mounted on a mobile robot presents a formidable problem since the ego-motion of the robot the moving objects jointly form a challengingly discerni...