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Research on Athlete Detection Method Based on Visual Image and Artificial Intelligence System.

• Authors : Wang W; Baotou Medical College, Baotou, Neimenggu, China.

Subjects: Artificial Intelligence* ; Pedestrians*; Algorithms

• Source: Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Sep 29; Vol. 2022, pp. 2418367. Date of Electronic Publication: 2022 Sep 29 (Print Publication: Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 101279357 Publication Model: eCollection Cited Medium: Internet ISSN:

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Investigating yielding behavior of heterogeneous vehicles at a semi-controlled crosswalk.

• Authors : Wang Y; College of Transportation Engineering, Chang'an University, Xi'an 710064, PR China.; Su Q

Subjects: Artificial Intelligence* ; Pedestrians*; Accidents, Traffic/Accidents, Traffic/Accidents, Traffic/prevention & control

• Source: Accident; analysis and prevention [Accid Anal Prev] 2021 Oct; Vol. 161, pp. 106381. Date of Electronic Publication: 2021 Aug 31.Publisher: Pergamon Press Country of Publication: England NLM ID: 1254476 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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IT’S ALL ABOUT THE JOURNEY.

• Authors : McCoid, Dave

Subjects: *TEAMS in the workplace; *ARTIFICIAL intelligence; PEDESTRIANS

• Source: New Zealand Trucking Magazine. Mar2024, p57-58. 2p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Pedestrian's risk-based negotiation model for self-driving vehicles to get the right of way.

• Authors : Gupta S; The University of Melbourne, Australia. Electronic address: .; Vasardani M

Subjects: Artificial Intelligence* ; Automobiles*; Negotiating/Negotiating/Negotiating/*psychology

• Source: Accident; analysis and prevention [Accid Anal Prev] 2019 Mar; Vol. 124, pp. 163-173. Date of Electronic Publication: 2019 Jan 17.Publisher: Pergamon Press Country of Publication: England NLM ID: 1254476 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Real-time Pedestrian Crossing Recognition for Assistive Outdoor Navigation.

• Authors : Fontanesi S; University of Pisa.; Frigerio A

Subjects: Algorithms* ; Artificial Intelligence* ; Computer Systems*

• Source: Studies in health technology and informatics [Stud Health Technol Inform] 2015; Vol. 217, pp. 963-8.Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365

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On-Board Detection of Pedestrian Intentions.

• Authors : Fang Z; Computer Science Department, Universitat Autònoma Barcelona (UAB), 08193 Barcelona, Spain. .; Computer Vision Center (CVC), Universitat Autònoma Barcelona (UAB), 08193 Barcelona, Spain. .

Subjects: Artificial Intelligence* ; Automobile Driving*; Accidents, Traffic/Accidents, Traffic/Accidents, Traffic/*prevention & control

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2017 Sep 23; Vol. 17 (10). Date of Electronic Publication: 2017 Sep 23.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Agricola

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iGoofed: How Consumers Assign Blame in Response to AI Accidents.

• Authors : Krause-Galoni, Rebecca J.¹; Rucker, Derek¹; Labroo, Aparna A.¹

Subjects: *ARTIFICIAL intelligence; *CONSUMER behavior; PEDESTRIANS

• Source: Advances in Consumer Research. 2020, Vol. 48, p467-468. 2p.

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