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A Smartphone-Based Mobility Assistant Using Depth Imaging for Visually Impaired and Blind

Aaron Raymond See, Bien Grenier Sasing, Welsey Daniel Advincula
2022 Applied Sciences  
In this research, we made use of a mobile phone with a depth camera function for obstacle avoidance and object recognition.  ...  , and users were able to locate their desired objects more than 80% of the time.  ...  that gave us insights and inspiration for the project.  ... 
doi:10.3390/app12062802 fatcat:pu4mryxi4rbpppx4bcwk3rywr4

Challenges and Opportunities for Autonomous Micro-UAVs in Precision Agriculture

Xu Liu, Steven W. Chen, Guilherme V. Nardari, Chao Qu, Fernando Cladera Ojeda, Camillo J. Taylor, Vijay Kumar
2022 IEEE Micro  
While UGVs have larger payload capabilities and longer operation time, they are limited to 2-D space.  ...  Mobile robots such as unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) are increasingly used for precision agriculture.  ...  Some of these problems may be solved with the use of event-based cameras, 10 but they are heavier and more expensive than conventional cameras.  ... 
doi:10.1109/mm.2021.3134744 fatcat:ucjpp7k5vvcfpg4i6yntt4vbta

Towards Real-Time Building Damage Mapping with Low-Cost UAV Solutions

Francesco Nex, Diogo Duarte, Anne Steenbeek, Norman Kerle
2019 Remote Sensing  
Advanced photogrammetric techniques and deep learning algorithms are combined to deliver a true-orthophoto showing the position of building damages, which are already processed by the time the UAV returns  ...  The timely and efficient generation of detailed damage maps is of fundamental importance following disaster events to speed up first responders' (FR) rescue activities and help trapped victims.  ...  Acknowledgments: We thank the anonymous reviewers for their insights and constructive comments, which helped to improve the paper. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11030287 fatcat:wvut5l5ksfcpdhtajih4a7wb4a

Internet Rescue Robots for Disaster Management

Punith Kumar M B, Associate Professor, Department of ECE, PES College of Engineering Mandya, Karnataka, India, Sumanth S, Manikant Amaresh Savadatti
2021 International Journal of Wireless and Microwave Technologies  
UAVs can provide awareness over a huge area quickly, reducing the time and thus the number of searchers required to locate and rescue an injured or lost person, greatly reducing the value and risks of  ...  The UAV drone has a camera for an aerial view and mapping of the place.  ...  Another smartphone can be used to connect to the Wi-Fi cameras and receive the live video feed. UAV drones can be controlled using a Wi-Fi-enabled smartphone or an RF controller.  ... 
doi:10.5815/ijwmt.2021.02.02 fatcat:jyv5qnmxezdc3evsdm2g2g5kji

A Mini-Survey and Feasibility Study of Deep-Learning-Based Human Activity Recognition from Slight Feature Signals Obtained Using Privacy-Aware Environmental Sensors

Hirokazu Madokoro, Stephanie Nix, Hanwool Woo, Kazuhito Sato
2021 Applied Sciences  
The first dataset comprises time-series panoramic images obtained using a fisheye lens monocular camera with a wide field of view.  ...  This paper presents a mini-survey of recent HAR studies and our originally developed benchmark datasets of two types using environmental sensors.  ...  Acknowledgments: We would like to express our appreciation to Mimori Kamiyama and Yuuki Sug-  ... 
doi:10.3390/app112411807 fatcat:fzbm7jfstrem7gkozowgbdo27a

Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles

Fabian de Ponte Müller
2017 Sensors  
Time-Of-Flight Cameras Time-Of-Flight (TOF) or 3D cameras are used in many different fields, including human-machine interaction, industrial automation and robotics.  ...  Time-of-flight cameras.  ... 
doi:10.3390/s17020271 pmid:28146129 pmcid:PMC5335929 fatcat:utrccettrjhfvhhs3kdffepgsu

Survey on Computer Vision for UAVs: Current Developments and Trends

Christoforos Kanellakis, George Nikolakopoulos
2017 Journal of Intelligent and Robotic Systems  
More specifically vision based position-attitude control, pose estimation and mapping, obstacle detection as well as target tracking are the identified components towards autonomous agents.  ...  During last decade the scientific research on Unmanned Aerial Vehicless (UAVs) increased spectacularly and led to the design of multiple types of aerial platforms.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://, which permits unrestricted use, distribution  ... 
doi:10.1007/s10846-017-0483-z fatcat:2abqia3mlnedrlonxhlsjanffy

Human–Machine Interface in Transport Systems: An Industrial Overview for More Extended Rail Applications

Simon Enjalbert, Livia Maria Gandini, Alexandre Pereda Baños, Stefano Ricci, Frederic Vanderhaegen
2021 Machines  
Special focus is given to new technologies that are potentially applicable in future train cabins, e.g., visual displays and haptic-shared controls.  ...  of operators as well as research in the fields of safety and ergonomics.  ...  , thereby helping to make the system useful, even when some specific features are not momentarily available (e.g., due to occlusion of the eyes or head).  ... 
doi:10.3390/machines9020036 fatcat:4bbgblanebcwxna4lpq4s4epzi

Teleoperated Visual Inspection and Surveillance with Unmanned Ground and Aerial Vehicles

Hartmut Surmann, Dirk Holz, Sebastian Blumental, Thorsten Linder, Peter Molitor, Viatcheslav Tretyakov
2008 International Journal of Online Engineering (iJOE)  
based on a RKI-XML description of the vehicles control capabilities, (B) the camera and vision system with the focus to real time feature extraction e.g. for the tracking of the UAV and (C) the architecture  ...  and hardware of the UAV.  ...  ACKNOWLEDGMENT The authors would like to thank our Fraunhofer colleagues for their support namely Reiner Frings, Jochen Winzer, Stefan May, Paul Ploger and Kai Pervolz.  ... 
doi:10.3991/ijoe.v4i4.699 fatcat:xzt6thifjjhfzalejfupp4s3qu


Sanaz Motamedi, Jyh-Hone Wang
2016 International Journal for transport and traffic engineering  
The results from 232 people revealed that the majority of drivers are aware of the associated risks with texting while driving.  ...  Conclusions regarding the impacts of different forms of texting, text complexity, and response mode on drivers driving performance were drawn.  ...  r ia l, a nd Sy stem Engineering Department of the University of Rhode Island for their support and guidance throughout this research project.  ... 
doi:10.7708/ijtte.2016.6(3).08 fatcat:fs7vxvohozer7n6ylkadle5xpa

Real-World Visual Computing (Dagstuhl Seminar 13431)

Oliver Grau, Marcus A. Magnor, Olga Sorkine-Hornung, Christian Theobalt, Marc Herbstritt
2014 Dagstuhl Reports  
The trend towards model capture from real-world examples is bolstered by new sensor technologies becoming available at mass-market prices, such as Microsoft's Kinect and time-of-flight 2D depth imagers  ...  Also, the pervasiveness of smart-phones containing camera, GPS and orientation sensors allows for developing new capturing paradigms of real-world events based on a swarm of networked smart-phones.  ...  Even for maker motion capture, it is challenging to have these motions, because of the serious occlusion, possible collision and the requirement for capture of subtle contact phenomena.  ... 
doi:10.4230/dagrep.3.10.72 dblp:journals/dagstuhl-reports/GrauMST13 fatcat:erkmydoib5f7rezs6xgsauw4wm

Smart Roads for Autonomous Accident Detection and Warnings

Abdul Mateen, Muhammad Zahid Hanif, Narayan Khatri, Sihyung Lee, Seung Yeob Nam
2022 Sensors  
Pre-saved locations are used to reduce the time needed to find the accident's location without the help of a global positioning system (GPS).  ...  This study is based on different sensors that are used to build SRs to detect accidents.  ...  The internal sensors of a smartphone are used to detect accidents, and the camera is used for recording images and video.  ... 
doi:10.3390/s22062077 pmid:35336248 pmcid:PMC8953218 fatcat:lzvj4pvzunbvxec4sz22kvkvhu

Indoor location-aware medical systems for smart homecare and telehealth monitoring: state-of-the-art

Fendy Santoso, Stephen J Redmond
2015 Physiological Measurement  
complexity, and issues surrounding compliance and adherence with the use of wearable tags.  ...  More specifically, this review provides an in-depth comparative study of how both system users and medical practitioners can get benefit from indoor positioning technologies; e.g. for real-time monitoring  ...  Acknowledgments The authors gratefully acknowledge the contribution from the anonymous referee(s) whose efforts greatly improved the presentation of this manuscript.  ... 
doi:10.1088/0967-3334/36/10/r53 pmid:26306639 fatcat:tqwr4mlbqzez3e6iz4zngztu3i

Stairs detection with odometry-aided traversal from a wearable RGB-D camera

A. Perez-Yus, D. Gutierrez-Gomez, G. Lopez-Nicolas, J.J. Guerrero
2017 Computer Vision and Image Understanding  
The algorithm is robust enough to work in real-time and even under partial occlusions of the stair.  ...  Our algorithm uses the depth data to determine if the horizontal planes in the scene are valid steps of a staircase judging their dimensions and relative positions.  ...  Acknowledgments This work was supported by Ministerio de Economía y Competitividad and European Union under FPI grant BES-2013-065834 and projects DPI2014-61792-EXP and DPI2015-65962-R.  ... 
doi:10.1016/j.cviu.2016.04.007 fatcat:fbjzrzicazhzfc5qwamj3xzm3i

IPIN 2018 Ninth International Conference on Indoor Positioning and Indoor Navigation

2018 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)  
, Time-of-flight, TOA drift Kalman filters (KFs) are popular methods to estimate position information from a set of time-of-flight (ToF) values in radio frequency (RF)-based locating systems.  ...  Difference of Arrival (TDoA) or Time of Flight (ToF).  ...  Fingerprinting requires reference measurements called fingerprints that are recorded during a training phase.  ... 
doi:10.1109/ipin.2018.8533737 fatcat:rv5zjhjytjaijcqgvvvpmbfjfa
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