We propose a decentralized variant of Monte Carlo tree search (MCTS) that is suitable for a
variety of tasks in multi-robot active perception. Our algorithm allows each robot to optimize …

We propose a decentralised variant of Monte Carlo tree search (MCTS) that is suitable for a
variety of tasks in multi-robot active perception. Our algorithm allows each robot to optimise …

Object Recognition is an essential component for Autonomous Land Vehicle (ALV)
navigation in urban environments. This paper presents a thorough evaluation of the …

A fundamental task of robotic systems is to use on-board sensors and perception algorithms
to understand high-level semantic properties of an environment. These semantic properties …

This paper proposes two novel deep learning models for 2D and 3D classification of objects
in extremely low-resolution time-of-flight imagery. The models have been developed to suit …

This thesis develops techniques for interpreting 3D range images acquired in outdoor
environments at a low resolution. It focuses on the task of robustly capturing the shapes that …

This thesis addresses the problem of how to improve the acquisition of 3D range data with a
mobile robot for the task of object classification. Establishing the identities of objects in …

Computer vision and Image processing are some of the most important technical aspects in
the domain of object detection and reconstruction. These concepts provide solutions not …

Scan registration has a critical role in mapping and localization for Autonomous Ground
Vehicle (AGV). This paper addresses the problem of alignment with only exploiting the …

Computer vision and Image processing are one of the most important technical aspects in
the field of machine learning. In this paper, we are mainly discussing the face masking of …