國立虎尾科技大學 |

Route Condition Estimation by Video Data Analysis.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Route Condition Estimation by Video Data Analysis./
作者:	Hossain, Sharafat.
面頁冊數:	1 online resource (38 pages)
附註:	Source: Masters Abstracts International, Volume: 85-06.
Contained By:	Masters Abstracts International85-06.
標題:	Web studies. -
電子資源:	click for full text (PQDT)
ISBN:	9798381156133

Route Condition Estimation by Video Data Analysis.
Hossain, Sharafat.

Route Condition Estimation by Video Data Analysis. - 1 online resource (38 pages)

Source: Masters Abstracts International, Volume: 85-06.

Thesis (M.S.)--University of Arkansas at Little Rock, 2023.

Includes bibliographical references

Catastrophic natural disasters have an impact on millions of individuals each year, whether directly or indirectly. A successful rescue operation can save a great deal of lives in the post-disaster phase, but researchers are still facing difficulties in carrying this out. Even while they are in peril, today's people frequently post updates about their whereabouts on well-known social media platforms, sometimes even asking for help. A prompt and appropriate response to these catastrophic events depends on developing an efficient and automated approach capable of retrieving real-time data from impacted locations and extracting essential elements. The research focuses on predicting flood water levels and speed for recommendations on road pass ability utilizing real-time data from traffic cameras and social media platforms like Twitter and YouTube. There are numerous challenges. The precise size of the reference object may not be known, the submerged object may only be partially visible, the height of the flood water that appears in different areas of the image scene may vary, and it may be difficult to continuously monitor a vehicle at low-quality video. To address these issues, the suggested model makes use of a person, a traffic signal, and a vehicle as reference objects. It has also been trained using datasets of images of flooded roads to estimate flood water levels, estimate speed using pixel mapping, and show the viability of the methods. The road's pass ability is then assessed by the model using the floodwater level and speed as inputs.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798381156133Subjects--Topical Terms:

1148502
Web studies.
Subjects--Index Terms:

Catastrophic natural disastersIndex Terms--Genre/Form:

554714
Electronic books.

Route Condition Estimation by Video Data Analysis.
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