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1. Full Text Non-contact heart rate monitoring utilizing camera photoplethysmography in the neonatal intensive care unit — A pilot study
by Aarts, Lonneke A.M and Jeanne, Vincent and Cleary, John P and Lieber, C and Nelson, J. Stuart and Bambang Oetomo, Sidarto and Verkruysse, Wim
Early human development, ISSN 0378-3782, 2013, Volume 89, Issue 12, pp. 943 - 948
Advanced Basic Science | Neonatal and Perinatal Medicine | Skin damage | Premature infant | Newborn | Contact sensor | PPG | Ambient light | Remote | Vital signs | Pulse oximetry | Mother–child bonding | Contactless | Unobtrusive | Mother-child bonding | Pediatrics | Life Sciences & Biomedicine | Obstetrics & Gynecology | Science & Technology | Netherlands | Pilot Projects | Intensive Care Units, Neonatal | Humans | Heart Rate - physiology | Video Recording | California | Photoplethysmography - methods | Infant, Newborn | Infants (Newborn) | Patient monitoring equipment | Heart beat | Index Medicus
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2. Full Text A hemispherical electronic eye camera based on compressible silicon optoelectronics
by Ko, Heung Cho and Stoykovich, Mark P and Song, Jizhou and Malyarchuk, Viktor and Choi, Won Mook and Yu, Chang-Jae and Geddes III, Joseph B and Xiao, Jianliang and Wang, Shuodao and Huang, Yonggang and Rogers, John A
Nature (London), ISSN 0028-0836, 08/2008, Volume 454, Issue 7205, pp. 748 - 753
Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology | Fundamental areas of phenomenology (including applications) | Exact sciences and technology | Electronics | Optics | Geometrical optics | Optoelectronic devices | Physics | Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices | General equipment and techniques | Aberrations | Instruments, apparatus, components and techniques common to several branches of physics and astronomy | General | Applied sciences | Display and recording equipment, oscilloscopes, tv cameras, etc | Biomimetics - instrumentation | Eye | Electronics - instrumentation | Semiconductors | Lasers | Humans | Lighting | Biomimetic Materials | Silicon - chemistry | Properties | Usage | Design | Printed circuit boards | Silicon | Plastic deformation | Arrays | Advanced materials | Glass substrates | Index Medicus
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3. Full Text Robust real-time traffic light detection and distance estimation using a single camera
by Diaz-Cabrera, Moises and Cerri, Pietro and Medici, Paolo
Expert systems with applications, ISSN 0957-4174, 05/2015, Volume 42, Issue 8, pp. 3911 - 3923
Image recognition | Traffic light detection | Intelligent vehicles | Advanced driver assistance systems | Intelligent transportation systems | Operations Research & Management Science | Engineering | Technology | Computer Science | Engineering, Electrical & Electronic | Computer Science, Artificial Intelligence | Science & Technology | Cameras | Rule based | Frames | Night | Spots | Color | Traffic signals | Fuzzy | Autonomous
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4. Full Text A Novel Strategy for Road Lane Detection and Tracking Based on a Vehicle's Forward Monocular Camera
by Andrade, David C and Bueno, Felipe and Franco, Felipe R and Silva, Rodrigo Adamshuk and Neme, Joao Henrique Z and Margraf, Erick and Omoto, William T and Farinelli, Felipe A and Tusset, Angelo M and Okida, Sergio and Santos, Max M. D and Ventura, Artur and Carvalho, Saulo and Amaral, Rodrigo dos Santos
IEEE transactions on intelligent transportation systems, ISSN 1524-9050, 04/2019, Volume 20, Issue 4, pp. 1497 - 1507
image processing | Interpolation | Driver assistance systems | Roads | lane tracking | Sensor fusion | Cameras | Feature extraction | monocular camera | lane detection | Vehicles | Engineering | Transportation Science & Technology | Technology | Engineering, Civil | Transportation | Engineering, Electrical & Electronic | Science & Technology | Digital imaging | Tracking | Drivers | Image processing | Hough transformation | Strategy | Lane keeping | Ground truth | Sharpness | Advanced driver assistance systems
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5. Full Text LiDAR and camera detection fusion in a real-time industrial multi-sensor collision avoidance system
by Wei, Pan and Cagle, Lucas and Reza, Tasmia and Ball, John and Gafford, James
Electronics (Basel), ISSN 2079-9292, 06/2018, Volume 7, Issue 6, p. 84
Deep learning | Multi-sensor | ADAS | Camera | Fusion | LiDAR | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Automation | Colleges & universities | Advanced driver assistance systems | Image detection | Cones | Beacons | Neural networks | Classification | Machine learning | Lidar | International conferences | Sensors | Localization | Collision avoidance | Methods | Predictive control | System effectiveness | fusion | deep learning | camera | multi-sensor
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6. Full Text Recognition of damaged arrow-road markings by visible light camera sensor based on convolutional neural network
by Vokhidov, Husan and Hong, Hyung Gil and Kang, Jin Kyu and Hoang, Toan Minh and Park, Kang Ryoung
Sensors (Basel, Switzerland), ISSN 1424-8220, 12/2016, Volume 16, Issue 12, pp. 2160 - 2160
Advanced driver assistance system (ADAS) | Arrow-road marking recognition | Visible light camera sensor | Convolutional neural network | Damaged arrow-road marking | Engineering | Physical Sciences | Chemistry | Technology | Instruments & Instrumentation | Engineering, Electrical & Electronic | Chemistry, Analytical | Science & Technology | Artificial neural networks | Automation | Roads | Neural networks | Data sets | Sensors | Automobiles | Automotive components | Automotive engineering | damaged arrow-road marking | advanced driver assistance system (ADAS) | visible light camera sensor | convolutional neural network | arrow-road marking recognition
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7. Full Text Experimental demonstration of Klyshko's advanced-wave picture using a coincidence-count based, camera-enabled imaging system
by Aspden, Reuben S and Tasca, Daniel S and Forbes, Andrew and Boyd, Robert W and Padgett, Miles J
Journal of modern optics, ISSN 0950-0340, 04/2014, Volume 61, Issue 7, pp. 547 - 551
Klyshko advanced-wave picture | quantum optics | coincidence imaging | Optics | Physical Sciences | Science & Technology | Measurement | Back propagation | Atoms & subatomic particles | Validity | Pictures | Beams (radiation) | Spatial distribution | Coherence | Images | Tools | Fibre | Photons
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8. Full Text Road lane detection by discriminating dashed and solid road lanes using a visible light camera sensor
by Hoang, Toan Minh and Hong, Hyung Gil and Vokhidov, Husan and Park, Kang Ryoung
Sensors (Basel, Switzerland), ISSN 1424-8220, 08/2016, Volume 16, Issue 8, p. 1313
Road lane detection | Left and right boundaries of road lane | Dashed and solid road lanes | Autonomous vehicles | Engineering | Physical Sciences | Chemistry | Technology | Instruments & Instrumentation | Engineering, Electrical & Electronic | Chemistry, Analytical | Science & Technology | Warning systems | Drivers | Vehicle safety | Driving | Lane keeping | Paths | Automobiles | Advanced driver assistance systems | road lane detection | dashed and solid road lanes | left and right boundaries of road lane | autonomous vehicles
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9. Full Text Lane-Level Map-Matching Method for Vehicle Localization Using GPS and Camera on a High-Definition Map
by Kang, Jeong Min and Yoon, Tae Sung and Kim, Euntai and Park, Jin Bae
Sensors (Basel, Switzerland), ISSN 1424-8220, 04/2020, Volume 20, Issue 8, p. 2166
Engineering | Physical Sciences | Chemistry | Technology | Instruments & Instrumentation | Engineering, Electrical & Electronic | Chemistry, Analytical | Science & Technology | Electronic devices | Hough transformation | Satellite navigation systems | Mapping | Ground truth | Advanced driver assistance systems | Image detection | Vehicles | Image acquisition | Matching | Global navigation satellite system | Accuracy | Maps | Algorithms | Global positioning systems--GPS | Navigation systems | Inertial navigation | Localization method | Cameras | Sensors | Localization | Methods | High definition | Index Medicus | localization | map-matching | HD map | lane detection | GNSS | autonomous driving
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10. Full Text Feasible Self-Calibration of Larger Field-of-View (FOV) Camera Sensors for the Advanced Driver-Assistance System (ADAS)
by Kakani, Vijay and Kim, Hakil and Kumbham, Mahendar and Park, Donghun and Jin, Cheng-Bin and Van Huan Nguyen
Sensors (Basel, Switzerland), ISSN 1424-8220, 08/2019, Volume 19, Issue 15, p. 3369
Engineering | Physical Sciences | Chemistry | Technology | Instruments & Instrumentation | Engineering, Electrical & Electronic | Chemistry, Analytical | Science & Technology | Parameters | Distortion | Mapping | Calibration | Pattern recognition | Field of view | Object recognition | Advanced driver assistance systems | Robotics | Optimization | Algorithms | Vision | Optimization techniques | Cameras | International conferences | Qualitative analysis | Mathematical models | Self calibration | Sensors | Streamlining | Edge detection | Position errors | Signal to noise ratio | Index Medicus | radial distortions | parameter sharing | larger field-of-view (FOV) | model-specific empirical γ-residual rectification factor | advanced driver-assistance system (ADAS) | self-calibration
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11. Full Text A priori patient‐specific collision avoidance in radiotherapy using consumer grade depth cameras
by Cardan, Rex A and Popple, Richard A and Fiveash, John
Medical physics (Lancaster), ISSN 0094-2405, 07/2017, Volume 44, Issue 7, pp. 3430 - 3436
collision avoidance | advanced trajectories | patient safety | surface scanning | kinect | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Radiotherapy Planning, Computer-Assisted | Humans | Algorithms | Index Medicus
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12. Full Text Mitigation of Visibility Loss for Advanced Camera-Based Driver Assistance
by Hautiere, Nicolas and Tarel, Jean-Philippe and Aubert, Didier
IEEE transactions on intelligent transportation systems, ISSN 1524-9050, 06/2010, Volume 11, Issue 2, pp. 474 - 484
Advanced driver-assistance systems | real-time image processing | Laboratories | Image restoration | contrast restoration | Degradation | fog removal | Machine vision | Layout | Vehicle safety | Radar detection | Cameras | Road safety | Meteorology | Contrast restoration | Fog removal | Real-time image processing | Engineering | Transportation Science & Technology | Technology | Engineering, Civil | Transportation | Engineering, Electrical & Electronic | Science & Technology | Pattern recognition. Digital image processing. Computational geometry | Exact sciences and technology | Applied sciences | Artificial intelligence | Road transportation and traffic | Ground, air and sea transportation, marine construction | Computer science; control theory; systems | Intelligent vehicle highway systems | Automobile driving | Fog | Weather | Climatology | Daylight | Drivers | Visibility | Image contrast
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13. Full Text Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data
by Khan, Md Nasim and Ahmed, Mohamed M
Accident analysis and prevention, ISSN 0001-4575, 07/2020, Volume 142, pp. 105521 - 105521
Convolutional Neural Network | Mobile Weather Sensors | Machine Learning | Variable Speed Limit | Deep Learning | Advanced Travel Information Systems | Image Classification | Foggy weather | Deep Neural Network | Recurrent Neural Network | Long Short-Term Memory | Advanced Driver Assistance Systems | TensorFlow | Engineering | Social Sciences | Social Sciences, Interdisciplinary | Social Sciences - Other Topics | Life Sciences & Biomedicine | Ergonomics | Technology | Transportation | Public, Environmental & Occupational Health | Science & Technology | Index Medicus
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