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Enhancing AV traffic safety through pedestrian detection, classification and communication Cover Image E-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: 1 online resource (46 pages) : illustrations (some color), charts
  • 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
Source of Description Note:
Title from PDF (viewed on December 11, 2023).

Search for related items by subject

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

Additional Physical Form Titles

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

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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.
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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
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650 0. ‡aPedestrians ‡zNorth Carolina ‡xSafety measures.
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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. ‡iPrint 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)1547663631
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