The impact of different AR-HUD virtual warning interfaces on the takeover performance and visual characteristics of autonomous vehicles.

Jing, Chunhui; Shang, Chenguang; Yu, Dongyu; Chen, Yaodong; Zhi, Jinyi

Jing, Chunhui; Shang, Chenguang; Yu, Dongyu; Chen, Yaodong; Zhi, Jinyi.

Affiliation

Jing C; Department of Industrial Design, Southwest Jiaotong University, Chengdu, China.
Shang C; Intelligent Research Institute of Chongqing Changan Automobile Co., Ltd, Chongqing, China.
Yu D; Department of Industrial Design, Southwest Jiaotong University, Chengdu, China.
Chen Y; Department of Industrial Design, Southwest Jiaotong University, Chengdu, China.
Zhi J; Department of Industrial Design, Southwest Jiaotong University, Chengdu, China.

Traffic Inj Prev ; 23(5): 277-282, 2022.

Article de En | MEDLINE | ID: mdl-35442130

Sujet(s)
Mots clés

AR-HUD; autonomous vehicle; eye movement characteristics; takeover performance; virtual shadow interface

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Conduite automobile / Piétons / Réalité augmentée Limites: Humans Langue: En Journal: Traffic Inj Prev Sujet du journal: TRAUMATOLOGIA Année: 2022 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni

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