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Design And Research Of AR-HUD For Automated Driving In Multi-Level Complex Takeover Scenarios

Posted on:2023-01-21Degree:MasterType:Thesis
Country:ChinaCandidate:W Z GaoFull Text:PDF
GTID:2542306914962389Subject:Art
Abstract/Summary:PDF Full Text Request
With the continuous development of all kinds of science and technology,automatic driving technology has gradually developed from science fiction concept to real manufacturing.At present,drivers still need to focus on driving and undertake the main task of driving.However,when the era of fully automatic driving is ushered in,intelligent vehicles have become the main body of road driving.Once encountering complex emergency scenes,how to take over the driving right safely from vehicles is one of the thorny problems in the whole automatic driving process.This paper focuses on the impact of Situational design and enhanced display form on driving takeover efficiency and situational perception.The main work contents include:Firstly,through analyzing the characteristics of automatic driving and the basic principle of driving takeover,the research clarifies design elements of the research object from the theoretical point of view,and clarify the driving takeover requirements through competitive products,users and behavior analysis from the research point of view,so as to get three core design problems around take-over:situation awareness,scene understanding and information enhancement.Secondly,While studying the SA in driving takeover,this paper analyzes the specific scene of driving takeover from the perspective of subject perception,uses analytic hierarchy process to grade the scene complexity.At last,combined with human and vehicle dimensions and the driving takeover mode,the SA interaction framework under driving takeover scenarios is constructed.Thirdly,through experimental methods,the effects of two information enhancement forms(W-HUD and AR-HUD)on driving takeover efficiency and situation perception level under different driving takeover complexity scenes are explored.Then,the data are analyzed to summarize the impact of the design form and design direction of information enhanced display on driving takeover efficiency,situational perception level and user experience satisfaction in different complexity scenarios,which can be used as the support of design practice.Finally,the paper combined with situational awareness,scene understanding and information enhancement forms,building the design framework of situational awareness enhancement in autopilot takeover scene.Under the guidance of framework,the designer set up a situational ecological interface for driving takeover,and complete the AR-HUD design practice for multi-level complex driving takeover scenes.The innovation of this paper is to study the information enhancement form under the driving takeover scene from design perspective and around the situation awareness,put forward a general situation perception enhancement design framework,and design and practice the whole process scene of driving takeover.The conclusion has a certain theoretical and practical significance.
Keywords/Search Tags:Automated driving, Take-over, Augmented reality, Head Up Display, Human-computer Interaction
PDF Full Text Request
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