Skip to main content
IEEE Intelligent Transportation Systems MagazineVolume 15, Issue 1, 1 January 2023, Pages 117-125

Human-Centric Role in Self-Driving Vehicles: Can Human Driving Perception Change the Flavor of Safety Features?(Article)

  Save all to author list
  • aUniversity of Novi Sad, Novi Sad, 21000, Serbia
  • bNTT Data, Sremska Kamenica, 21208, Serbia
  • cNIT Institute, Novi Sad, 21000, Serbia

Abstract

Autonomous vehicles are expected to generate significant revenues for the global economy in the next decade. Recently, industry experts warned that autonomous vehicles are losing momentum. Self-driving is stalling. Fusing human sentiment and driving perception into a holistic approach to the development of human-centric autonomous vehicles could regain the market's trust. In this article, we try to explain why the traditional approach to self-driving vehicles, which focuses only on perfecting vehicle performance, sends engineers back to the whiteboard. © 2009-2012 IEEE.

Indexed keywords

Engineering controlled terms:Autonomous vehiclesVehicle performance
Engineering uncontrolled termsAutonomous VehiclesGlobal economiesHolistic approachHuman drivingHuman-centricIndustry expertsSafety featuresSelf drivingsTraditional approachesWhite board
Engineering main heading:Economics
  • ISSN: 19391390
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1109/MITS.2022.3169597
  • Document Type: Article
  • Publisher: Institute of Electrical and Electronics Engineers Inc.

  Mrazovac, B.; University of Novi Sad, Novi Sad, Serbia;
© Copyright 2023 Elsevier B.V., All rights reserved.

Cited by 5 documents

Zhang, L. , Yao, X. , Xiao, Y.
Mechanisms and implications of autonomous vehicle market penetration: Insights from a Markov forecasting model
(2024) Transport Policy
Cui, C. , Ma, Y. , Cao, X.
Receive, Reason, and React: Drive as You Say, With Large Language Models in Autonomous Vehicles
(2024) IEEE Intelligent Transportation Systems Magazine
Li, L.-L. , Fang, J. , Xue, J.
Cognitive Traffic Accident Anticipation
(2024) IEEE Intelligent Transportation Systems Magazine
View details of all 5 citations
{"topic":{"name":"Speaker Identification; Speech Communication; Discriminant Analysis","id":832,"uri":"Topic/832","prominencePercentile":83.47038,"prominencePercentileString":"83.470","overallScholarlyOutput":0},"dig":"644e4652e2519fa3344ce5588f0b3ab732d4ca447728871a47f534f9242bf27a"}

SciVal Topic Prominence

Topic:
Prominence percentile: