Heating process monitoring and evaluation of hot in-place recycling of asphalt pavement using infrared thermal imaging

[1]  Leif Kobbelt,et al.  Interactive image completion with perspective correction , 2006, The Visual Computer.

[2]  Edward Jones,et al.  Vision-based detection and tracking of vehicles to the rear with perspective correction in low-light conditions , 2011 .

[3]  Khaled Sobhan,et al.  On the Road to Sustainability , 2012 .

[4]  Andrea L. Welker,et al.  Performance of hot in-place recycled Superpave mixtures in Florida , 2013 .

[5]  Jin Peiyua.  A new extreme learning machine based on the golden section optimization algorithm , 2014 .

[6]  Martins Zaumanis,et al.  Hot Mix Asphalt with High RAP Content , 2015 .

[7]  D. Hernandez-Contreras,et al.  Narrative review: Diabetic foot and infrared thermography , 2016 .

[8]  Taher Baghaee Moghaddam,et al.  The use of rejuvenating agents in production of recycled hot mix asphalt: A systematic review , 2016 .

[9]  Tao Xu,et al.  Heating effects of asphalt pavement during hot in-place recycling using DEM , 2016 .

[10]  T. Ma,et al.  Influences of Preheating Temperature of RAP on Properties of Hot-Mix Recycled Asphalt Mixture , 2016 .

[11]  Tao Xu,et al.  The feasibility of DEM to analyze the temperature field of asphalt mixture , 2016 .

[12]  Daniel Santana-Cedrés,et al.  Automatic correction of perspective and optical distortions , 2017, Comput. Vis. Image Underst..

[13]  Shaopeng Wu,et al.  Effect of freezing-thawing and ageing on thermal characteristics and mechanical properties of conductive asphalt concrete , 2017 .

[14]  E. Erçelebi,et al.  The use of infrared thermal imaging in the diagnosis of deep vein thrombosis , 2017 .

[15]  J. Gallego,et al.  Aging of asphalt binder in hot pavement rehabilitation , 2018, Construction and Building Materials.

[16]  F. Ni,et al.  Environmental burden evaluation of hot in-place recycling of asphalt pavement based on discrete event simulation , 2018, Transportation Research Part D: Transport and Environment.

[17]  A. Wang,et al.  Asphalt foaming quality control model using neural network and parameters optimization , 2017, International Journal of Pavement Research and Technology.

[18]  E. Schlangen,et al.  Effect of metallic waste addition on the electrical, thermophysical and microwave crack-healing properties of asphalt mixtures , 2018, Construction and Building Materials.

[19]  Metin Soycan,et al.  Perspective correction of building facade images for architectural applications , 2019, Engineering Science and Technology, an International Journal.

[20]  M. Ameri,et al.  Evaluation of the performance and temperature susceptibility of gilsonite- and SBS-modified asphalt binders , 2019, Construction and Building Materials.

[21]  S. Hsu,et al.  Comparative eco-efficiency analysis on asphalt pavement rehabilitation alternatives: Hot in-place recycling and milling-and-filling , 2019, Journal of Cleaner Production.

[22]  CameraTransform: A Python package for perspective corrections and image mapping , 2019, SoftwareX.

[23]  A. Saxena,et al.  Infrared (IR) thermography-based quantitative parameters to predict the risk of post-operative cancerous breast resection flap necrosis , 2019 .

[24]  Hainian Wang,et al.  Effects of preheating conditions on performance and workability of hot in-place recycled asphalt mixtures , 2019, Construction and Building Materials.

[25]  Mouhamed Bayane Bouraima,et al.  A comparative study on asphalt binder and mixture performance of two traffic lanes during hot in-place recycling (HIR) procedure , 2019, Construction and Building Materials.

[26]  Asnida Abdul Wahab,et al.  Assessment of inspiration and expiration time using infrared thermal imaging modality , 2019, Infrared Physics & Technology.