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In this paper, an image-based segmentation method to improve autonomous robot navigation in the forest is presented. The detection is supported by a filtered image generated from a stereo-based pre-processing which is a byproduct of our obstacles detection system. To cope with the large variability of forest paths, the classifier is dynamically adapted to the current situation and the segmentation...
This paper presents RIVERWATCH, an autonomous surface-aerial marsupial robotic team for riverine environmental monitoring. The robotic system is composed of an Autonomous Surface Vehicle (ASV) piggybacking a multirotor Unmanned Aerial Vehicle (UAV) with vertical takeoff and landing capabilities. The ASV provides the team with longrange transportation in all-weather conditions, whereas the UAV assures...
This paper proposes a vision-based behavior selection system using biologically-inspired visual attention selection mechanisms, i.e., Bottom-Up attention and Top-Down attention. We adopt purely Bottom-Up attention selection to identify conspicuous regions for obtaining the salient landmarks, while propose an object-based Top-Down attention method using low dimensional task-relevant feature for searching...
Surgical navigation is a crucial concept in computer assisted surgery. The use of robots in the surgery room largely benefits from this concept recent developments, namely with the use of non-invasive and radiation free imaging systems, like ultrasound (US). This paper presents the algorithms and software tools developed for US based orthopedic surgery navigation. In the second part of the paper are...
In mobile robot scenarios, it is expected that the robot autonomously navigates through home or office environments and processes objects/landmarks during navigation. Landmark manipulation is identified as one important research area in robot navigation systems. We have developed an online robot landmark processing system (RLPS) to detect, classify, and localize different types of landmarks during...
Highly flexible systems require that Automatic Guided Vehicles (AGVs) in a plant navigate autonomously and changes in their missions should not require difficult setup procedures. In this paper we address the problem of localization of a mobile robot in a indoor environment. The robot is able to find its position without any grounded wires, landmarks or laser beacons. The robot uses images acquired...
Most maps used in navigation by mobile robots represent only spatial information. By the other hand, semantic information, which could be thought of as the classification of spatial primitives in different classes, provides structure to spatial information, hence reducing any necessary computation over the final map. This article proposes a semantic mapping process that represents an association between...
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