Driver’s Visual Attention Analysis in Smart Car with FHUD

Zhang, Yanjun; Tian, Yang; Zhang, Xia; Zhang, Yongjin; Sun, Youchao

doi:10.1007/978-3-030-50943-9_9

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…The remaining Questions (18,19,20) received also positive responses with 90%, 70% and 100% respectively highlighting the future expectations of the drivers.…”

Section: Data Analysis and Discussionmentioning

confidence: 98%

“…This contributes further to the time that the driver gazes away from the road and interacts with additional infotainment means [6,10]. To counteract the above issue, this work follows previous studies which employed various types of HUD interfaces to present the required information directly to the driver's field of view [12,15,[20][21][22][23][24]. The overall interface is an adaptation of the ES version, which maintains the primary functionality of real-time superimposed information for safe guidance.…”

Section: Augmented Reality (Ar -Hud)mentioning

confidence: 99%

“…Conveying the information to the user relies primarily on the type of information, interface design and conduit of presentation [12,15,20]. Simple and easy to follow multimodal interfaces reduce the cognitive load and the time of the decision-making process [12].…”

Section: Prototype Interface Designmentioning

confidence: 99%

See 2 more Smart Citations

Intelligent Collision Avoidance and Manoeuvring System with the Use of Augmented Reality and Artificial Intelligence

Bram-Larbi

Charissis

Khan

et al. 2021

Advances in Intelligent Systems and Computing

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The efficiency of collision-avoidance abrupt braking or manoeuvring is primarily based on a driver's response time. The latter is affected by the driver's spatial and situational awareness, which in turn is heavily depended on the driver's cognitive workload. Attention taxing, infotainment systems could dramatically reduce the driver's ability to respond effectively in an imminent collision situation. Current attempts to reduce this negative impact on driver's performance had limited success. To improve the driver's ability to perform a successful collision avoidance braking or manoeuvring, this paper presents the design considerations of a prototype system that employs Augmented Reality (AR) to overlay guidance information in the real-life environment. The proposed system will be further supported by an Artificial Intelligence (AI) system that will act as a co-driver, offering in realtime alternative options to the driver. Prior work for the development of a similar system for Emergency Services' (ES) vehicles sparked the idea to transfer and investigate the acceptance of this technology on a civilian vehicle domain. In conclusion, the paper presents the preliminary design for the development of the civilian version of the AR/AI system based on the feedback and suggestions of twenty drivers.

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“…The remaining Questions (18,19,20) received also positive responses with 90%, 70% and 100% respectively highlighting the future expectations of the drivers.…”

Section: Data Analysis and Discussionmentioning

confidence: 98%