NDLI: Attention Management in Highly Autonomous Driving

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Attention Management in Highly Autonomous Driving

Content Provider	Scilit
Author	Baldwin, Carryl L. McCandliss, Ian
Copyright Year	2019
Description	Advanced driver assistance systems (ADAS) and other forms of advanced vehicle technology have the potential to dramatically improve public safety. While advances in sensor technologies, software, data algorithms, and engineering solutions continue at a rapid pace, human evolution remains little changed. Over a century of examination demonstrates that humans have limited attentional capacity, have difficulty maintaining focused attention for a sustained time, and are easily distracted. Therefore, it is imperative that attention management solutions are developed to facilitate the safe and effective implementation of autonomous capabilities for all road users. Attention management strategies for partial and highly autonomous driving are reviewed. Focus is placed on what is currently known and what needs further investigation. Book Name: Human Performance in Automated and Autonomous Systems
Related Links	https://content.taylorfrancis.com/books/download?dac=C2018-0-84630-1&isbn=9780429458330&doi=10.1201/9780429458330-12&format=pdf
Ending Page	248
Page Count	18
Starting Page	231
DOI	10.1201/9780429458330-12
Language	English
Publisher	Informa UK Limited
Publisher Date	2019-09-19
Access Restriction	Open
Subject Keyword	Book Name: Human Performance in Automated and Autonomous Systems Transportation Science and Technology Safety Evolution Road Attention Management Highly Autonomous Driving
Content Type	Text
Resource Type	Chapter

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