Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Haydn Malackowski"'
Autor:
Mina Joseph, Haydn Malackowski, Hazem Hanafy, Jidong Liu, Zach DeLoach, Darcy Bullock, Ayman Habib
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 13, Iss , Pp 100073- (2024)
Several industrial and commercial bulk material management applications rely on accurate, current stockpile volume estimation. Proximal imaging and LiDAR sensing modalities can be used to derive stockpile volume estimates in outdoor and indoor storag
Externí odkaz:
https://doaj.org/article/76865ee1136a44d8872ad13df748e7cb
Autor:
Justin Anthony Mahlberg, Haydn Malackowski, Mina Joseph, Yerassyl Koshan, Raja Manish, Zach DeLoach, Ayman Habib, Darcy M. Bullock
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 410 (2024)
The state of Indiana maintains approximately 120 salt storage facilities strategically distributed across the state for winter operations. In April 2023, those facilities contained approximately 217,000 tons of salt with an estimated value of USD 21
Externí odkaz:
https://doaj.org/article/5605312233634e97aa2cb90d40cf4001
Autor:
Enrique D. Saldivar-Carranza, Howell Li, Jijo K. Mathew, Saumabha Gayen, Haydn Malackowski, Darcy M. Bullock
Publikováno v:
JTRP Affiliated Reports
Traffic signal performance measures based on connected vehicle (CV) trajectory data can provide practitioners actionable information on the operational state of their systems. Agencies need visualization tools that can enable them to quickly assess a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcbe068ba4289c334b1fd13b51d744e6
https://docs.lib.purdue.edu/jtrpaffdocs/44
https://docs.lib.purdue.edu/jtrpaffdocs/44
Autor:
Enrique Saldivar-Carranza, Howell Li, Jijo K. Mathew, Saumabha Gayen, Haydn Malackowski, Darcy M. Bullock
Publikováno v:
JTRP Affiliated Reports
Traffic signal performance measures based on connected vehicle (CV) trajectory data can provide practitioners actionable information on the operational state of their systems. A visualization framework that can enable agencies to quickly assess arter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58278a6f1d4451de277160f2cc291346
https://docs.lib.purdue.edu/context/jtrpaffdocs/article/1045/viewcontent/Trajectory_Based_Arterial_Traffic_to_upload_5_10.pdf
https://docs.lib.purdue.edu/context/jtrpaffdocs/article/1045/viewcontent/Trajectory_Based_Arterial_Traffic_to_upload_5_10.pdf