A5053157524- Indoor and Outdoor Localization Technologies
- Context-Aware Activity Recognition Systems
- Robotics and Sensor-Based Localization
- Smart Parking Systems Research
- Petri Nets in System Modeling
- IoT-based Smart Home Systems
- Business Process Modeling and Analysis
- Target Tracking and Data Fusion in Sensor Networks
- Tactile and Sensory Interactions
- Gaze Tracking and Assistive Technology
- Underwater Vehicles and Communication Systems
- Robotic Path Planning Algorithms
- Impact of Light on Environment and Health
- IoT and Edge/Fog Computing
- Aerospace Engineering and Energy Systems
- Inertial Sensor and Navigation
- Flexible and Reconfigurable Manufacturing Systems
- Noise Effects and Management
- Guidance and Control Systems
- Robotics and Automated Systems
- Autonomous Vehicle Technology and Safety
- Speech and Audio Processing
- Simulation Techniques and Applications
- Radio Wave Propagation Studies
- Ergonomics and Musculoskeletal Disorders
Vita-Salute San Raffaele University
2020
IRCCS Ospedale San Raffaele
2018
University of Trento
2013-2017
Semnan University
2013
Many techniques for robot localization rely on the assumption that both process and measurement noises are uncorrelated, white, normally distributed. However, if this does not hold, these no longer optimal and, in addition, maximum estimation errors can be hardly kept under control. In paper, problem is addressed by means of a tailored extended H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> filter (EHF) fusing odometry gyroscope data...
Indoor localization and position tracking are essential to support applications services for ambient-assisted living. While the problem of indoor is still open already quite complex per se, in large public places, additional issues cost, accuracy, scalability arise. In this paper, estimation technique developed within project devices assisted living (DALi) described, analyzed through simulations, finally validated by means a variety experiments on field. The goal DALi design robotic wheeled...
We consider the problem of self-localisation for a mobile robot in an environment with requested level accuracy. The moves known following typical trajectories, which can be characterised statistical terms. One main drivers this paper is its application to assistive robots guiding senior or impaired users shopping centres other public spaces. To localise itself uses onboard sensors such as encoders and inertial platforms. noise these lack absolute measurements determines steady growth...
Accurate indoor position tracking of moving users is essential in ambient assisted living (AAL) applications. In this paper, view designing a smart rollator helping impaired or elderly people to navigate environments (e.g. shopping malls, railway stations airports), estimation technique described and the performance different variants are compared through simulations. The proposed solution based on an extended Kalman filter (EKF), which turn relies measurement data provided by two encoders,...
Indoor positioning often requires detecting and recognizing ad-hoc landmarks or anchor points with known coordinates and/or a given orientation within reference frame. Typically, the available kind of sensors their detection area determine landmark features position. Of course, an excessive use pose serious scalability cost issues, whereas, on other hand, too-low amount deployed may create areas where agent's position is hard to track localization accuracy drops. In addition, are not...
This paper presents a position tracking technique based on multisensor data fusion for rollators helping elderly people to move safely in large indoor spaces such as public buildings, shopping malls or airports. The proposed has been developed within the FP7 project DALi, and relies an extended Kalman filter processing from dead-reckoning sensors (i.e. encoders gyroscopes), short-range radio frequency identification (RFID) system front Kinect camera. As known, only is intrinsically affected...
Indoor navigation is a well-known research topic whose relevance has been steadily growing in the last years thrust by considerable commercial interests as well need for supporting and guiding users large public environments, such stations, airports or shopping malls. People with motion cognitive impairments could perceive crowded environments intimidating. In situations, smart wheeled walker able to estimate its own position autonomously be used guide safely towards wanted destination. Two...
In this article a model-based controller reconfiguration method for fault-tolerant control of discrete event systems has been introduced. method, we model the fault conditions each specified as new called model. The system then consists three different models process, specification and fault. faulty parts are not permitted to do any job tries enforce specifications by other system. With problem fault- tolerant converts synchronizing We must synthesize supervisor that can both faults status....
This paper deals with the problem of localizing a group robots. Each robot is equipped an autonomous self-localization system based on both high-rate odometers and front camera detecting sporadically simple visual landmarks placed floor at known positions attitude within given 2D reference frame. In addition, robots can share their own states to improve localization accuracy. this paper, after reviewing general collaborative localization, two potential strategies distributed Interlaced...
The immense growth of digital technology has led people to live in a multi-screen environment. If used for prolonged time, screens (DS) can be considered harmful the eyes leading such health issues as computer vision syndrome (CVS). In this paper, we study problem Digital Screen Detection (DSD), using new generation small color light sensors that observe four different components visible light, including two blue light. To aim, sensor outputs are analyzed and supervised machine learning...
Digital Screens (DS) can be considered harmful to the eyes, if used for a prolonged time, leading such health issues as computer vision syndrome (CVS) and digital eyestrain. A wearable device able inform user about time spent looking at DS could helpful in order suggest him proper break timings avoid CVS. In this study, new Screen Detection (DSD) approach using generation of head mounted color light sensor has been proposed. Data from five subjects during common activities daily living (ADL)...
GNSS/INS integration systems are increasingly used in the navigation of Unmanned Aerial Vehicles. To decrease size and weight, single antenna GNSS is usually favorable many UAV applications. reach optimal accuracy, system should be initialized properly. However, a cannot directly measure initial heading UAV, without additional sensors such as magnetometer or gyrocompass. Course over ground computation also not feasible for vehicles like multirotors where direction motion aligned to vehicle...