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Enhancing AV traffic safety through pedestrian detection, classification and communication Cover Image Book

Enhancing AV traffic safety through pedestrian detection, classification and communication / R. Thomas Chase, Jing Feng, Seth Hollar, Ali Karimoddini, Waugh Wright, Institute for Transportation Research & Education, North Carolina State University.

Chase, R. Thomas, 1987- (author.). Feng, Jing, (author.). Hollar, Seth, (author.). Karimoddini, Ali, (author.). Wright, Waugh, (author.). North Carolina. Department of Transportation. Research and Analysis Group, (report recipient.). North Carolina State University. Institute for Transportation Research & Education, (issuing body.).

Electronic resources

https://digital.ncdcr.gov/documents/detail/5800607

Record details

  • Physical Description: vi, 38 pages : illustrations (some color), charts ; 28 cm
  • Publisher: [Raleigh, N.C.] : [Research and Analysis Group, North Carolina Department of Transportation], November 2022.

Content descriptions

General Note:
"November 2022"--Cover.
Bibliography, etc. Note:
Includes bibliographical references (pages 35-38).
Type of Report and Period Covered Note:
Final report; August 2018 - July 2021.
Funding Information Note:
Performed by Institute for Transportation Research and Education, North Carolina State University, sponsored by North Carolina Department of Transportation, Research and Analysis Group 2019-28

Search for related items by subject

Subject:
Pedestrians > North Carolina > Safety measures.
Automated vehicles > North Carolina > Evaluation.

Additional Physical Form Titles

Enhancing AV traffic safety through pedestrian detection, classification and communication.

Available copies

  • 1 of 2 copies available at NC Cardinal. (Show)
  • 0 of 0 copies available at Madison County Public Library.

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  • 0 current holds with 2 total copies.
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MARC Record

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24510. ‡aEnhancing AV traffic safety through pedestrian detection, classification and communication / ‡cR. Thomas Chase, Jing Feng, Seth Hollar, Ali Karimoddini, Waugh Wright, Institute for Transportation Research & Education, North Carolina State University.
264 1. ‡a[Raleigh, N.C.] : ‡b[Research and Analysis Group, North Carolina Department of Transportation], ‡cNovember 2022.
300 . ‡avi, 38 pages : ‡billustrations (some color), charts ; ‡c28 cm
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500 . ‡a"November 2022"--Cover.
504 . ‡aIncludes bibliographical references (pages 35-38).
513 . ‡aFinal report; ‡bAugust 2018 - July 2021.
536 . ‡aPerformed by Institute for Transportation Research and Education, North Carolina State University, sponsored by North Carolina Department of Transportation, Research and Analysis Group ‡f2019-28
650 0. ‡aPedestrians ‡zNorth Carolina ‡xSafety measures.
650 0. ‡aAutomated vehicles ‡zNorth Carolina ‡xEvaluation.
7001 . ‡aFeng, Jing, ‡eauthor.
7001 . ‡aHollar, Seth, ‡eauthor.
7001 . ‡aKarimoddini, Ali, ‡eauthor. ‡0(CARDINAL)899826
7001 . ‡aWright, Waugh, ‡eauthor. ‡0(CARDINAL)852996
7101 . ‡aNorth Carolina. ‡bDepartment of Transportation. ‡bResearch and Analysis Group, ‡ereport recipient. ‡0(CARDINAL)272064
7102 . ‡aNorth Carolina State University. ‡bInstitute for Transportation Research & Education, ‡eissuing body. ‡0(CARDINAL)286484
77608. ‡iOnline version: ‡aChase, R. Thomas, 1987- ‡tEnhancing AV traffic safety through pedestrian detection, classification and communication. ‡d[Raleigh, N.C.] : [Research and Analysis Group, North Carolina Department of Transportation], November 2022 ‡w(OCoLC)1413231486
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