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1
Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review
Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review
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Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review

Sensors (Basel, Switzerland), 2020-07, Vol.20 (15), p.4220 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20154220 ;PMID: 32751275

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2
YOLOv7-RAR for Urban Vehicle Detection
YOLOv7-RAR for Urban Vehicle Detection
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YOLOv7-RAR for Urban Vehicle Detection

Sensors (Basel, Switzerland), 2023-02, Vol.23 (4), p.1801 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23041801 ;PMID: 36850399

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3
A review of melt extrusion additive manufacturing processes: II. Materials, dimensional accuracy, and surface roughness
A review of melt extrusion additive manufacturing processes: II. Materials, dimensional accuracy, and surface roughness
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A review of melt extrusion additive manufacturing processes: II. Materials, dimensional accuracy, and surface roughness

Rapid prototyping journal, 2015-04, Vol.21 (3), p.250-261 [Peer Reviewed Journal]

Emerald Group Publishing Limited ;Emerald Group Publishing Limited 2015 ;ISSN: 1355-2546 ;EISSN: 1758-7670 ;DOI: 10.1108/RPJ-02-2013-0017 ;CODEN: RPJOFC

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4
A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges
A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges
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A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges

Sensors (Basel, Switzerland), 2021-01, Vol.21 (3), p.706 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21030706 ;PMID: 33494191

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5
A Comprehensive Survey of Driving Monitoring and Assistance Systems
A Comprehensive Survey of Driving Monitoring and Assistance Systems
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A Comprehensive Survey of Driving Monitoring and Assistance Systems

Sensors (Basel, Switzerland), 2019-06, Vol.19 (11), p.2574 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19112574 ;PMID: 31174275

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6
A review of melt extrusion additive manufacturing processes: I. Process design and modeling
A review of melt extrusion additive manufacturing processes: I. Process design and modeling
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A review of melt extrusion additive manufacturing processes: I. Process design and modeling

Rapid prototyping journal, 2014-04, Vol.20 (3), p.192-204 [Peer Reviewed Journal]

Emerald Group Publishing Limited ;Copyright Emerald Group Publishing Limited 2014 ;ISSN: 1355-2546 ;EISSN: 1758-7670 ;DOI: 10.1108/RPJ-01-2013-0012 ;CODEN: RPJOFC

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7
An AutoEncoder and LSTM-Based Traffic Flow Prediction Method
An AutoEncoder and LSTM-Based Traffic Flow Prediction Method
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An AutoEncoder and LSTM-Based Traffic Flow Prediction Method

Sensors (Basel, Switzerland), 2019-07, Vol.19 (13), p.2946 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19132946 ;PMID: 31277390

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8
Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City
Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City
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Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City

Sensors (Basel, Switzerland), 2019-05, Vol.19 (9), p.2048 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution - NonCommercial - NoDerivatives ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19092048 ;PMID: 31052514

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9
Flying Ad Hoc Networks: A New Domain for Network Communications
Flying Ad Hoc Networks: A New Domain for Network Communications
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Flying Ad Hoc Networks: A New Domain for Network Communications

Sensors (Basel, Switzerland), 2018-10, Vol.18 (10), p.3571 [Peer Reviewed Journal]

2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 by the authors. 2018 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18103571 ;PMID: 30347892

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10
Autonomous Vehicles: Disengagements, Accidents and Reaction Times
Autonomous Vehicles: Disengagements, Accidents and Reaction Times
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Autonomous Vehicles: Disengagements, Accidents and Reaction Times

PloS one, 2016-12, Vol.11 (12), p.e0168054-e0168054 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Dixit et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2016 Dixit et al 2016 Dixit et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0168054 ;PMID: 27997566

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11
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
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Driver Distraction Identification with an Ensemble of Convolutional Neural Networks

Journal of advanced transportation, 2019-01, Vol.2019, p.1-12 [Peer Reviewed Journal]

Copyright © 2019 Hesham M. Eraqi et al. ;Copyright © 2019 Hesham M. Eraqi et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0197-6729 ;EISSN: 2042-3195 ;DOI: 10.1155/2019/4125865

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12
High Definition Map for Automated Driving: Overview and Analysis
High Definition Map for Automated Driving: Overview and Analysis
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High Definition Map for Automated Driving: Overview and Analysis

Journal of navigation, 2020-03, Vol.73 (2), p.324-341 [Peer Reviewed Journal]

Copyright Cambridge University Press Mar 2020 ;ISSN: 0373-4633 ;EISSN: 1469-7785 ;DOI: 10.1017/S0373463319000638

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13
Adaboost Algorithm in Artificial Intelligence for Optimizing the IRI Prediction Accuracy of Asphalt Concrete Pavement
Adaboost Algorithm in Artificial Intelligence for Optimizing the IRI Prediction Accuracy of Asphalt Concrete Pavement
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Adaboost Algorithm in Artificial Intelligence for Optimizing the IRI Prediction Accuracy of Asphalt Concrete Pavement

Sensors (Basel, Switzerland), 2021-08, Vol.21 (17), p.5682 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21175682 ;PMID: 34502573

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14
Studying the Safety Impact of Autonomous Vehicles Using Simulation-Based Surrogate Safety Measures
Studying the Safety Impact of Autonomous Vehicles Using Simulation-Based Surrogate Safety Measures
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Studying the Safety Impact of Autonomous Vehicles Using Simulation-Based Surrogate Safety Measures

Journal of advanced transportation, 2018-01, Vol.2018, p.1-11 [Peer Reviewed Journal]

Copyright © 2018 Mark Mario Morando et al. ;COPYRIGHT 2018 Hindawi Limited ;Copyright © 2018 Mark Mario Morando et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0197-6729 ;EISSN: 2042-3195 ;DOI: 10.1155/2018/6135183

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15
Secure Trust-Based Blockchain Architecture to Prevent Attacks in VANET
Secure Trust-Based Blockchain Architecture to Prevent Attacks in VANET
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Secure Trust-Based Blockchain Architecture to Prevent Attacks in VANET

Sensors (Basel, Switzerland), 2019-11, Vol.19 (22), p.4954 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s19224954 ;PMID: 31739437

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16
Smart Pothole Detection Using Deep Learning Based on Dilated Convolution
Smart Pothole Detection Using Deep Learning Based on Dilated Convolution
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Smart Pothole Detection Using Deep Learning Based on Dilated Convolution

Sensors (Basel, Switzerland), 2021-12, Vol.21 (24), p.8406 [Peer Reviewed Journal]

2021 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the author. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21248406 ;PMID: 34960498

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17
BL-YOLOv8: An Improved Road Defect Detection Model Based on YOLOv8
BL-YOLOv8: An Improved Road Defect Detection Model Based on YOLOv8
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BL-YOLOv8: An Improved Road Defect Detection Model Based on YOLOv8

Sensors (Basel, Switzerland), 2023-10, Vol.23 (20), p.8361 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23208361 ;PMID: 37896455

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18
Routing Schemes in FANETs: A Survey
Routing Schemes in FANETs: A Survey
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Routing Schemes in FANETs: A Survey

Sensors (Basel, Switzerland), 2019-12, Vol.20 (1), p.38 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20010038 ;PMID: 31861637

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19
A Machine Learning Approach to Road Surface Anomaly Assessment Using Smartphone Sensors
A Machine Learning Approach to Road Surface Anomaly Assessment Using Smartphone Sensors
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A Machine Learning Approach to Road Surface Anomaly Assessment Using Smartphone Sensors

IEEE sensors journal, 2020-03, Vol.20 (5), p.2635-2647 [Peer Reviewed Journal]

ISSN: 1530-437X ;EISSN: 1558-1748 ;DOI: 10.1109/JSEN.2019.2952857 ;CODEN: ISJEAZ

Digital Resources/Online E-Resources

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20
An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data
An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data
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An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data

Sensors (Basel, Switzerland), 2020-09, Vol.20 (19), p.5564 [Peer Reviewed Journal]

2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20195564 ;PMID: 32998427

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