5 research outputs found

    The Driver Has Control: Exploring Driving Performance with Varying Automation Capabilities

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    As vehicle automation becomes more capable and prevalent, an understanding of how drivers will interact with automation systems of varying capabilities will be of critical importance. In this study, we compare the performance of drivers on takeover of control from varying types of automation systems (single-function and combined function). Participants drove a 20-minute course with sections of automated driving, and with several traffic events designed to elicit a driver response. Structured transfers of control between automated and manual driving modes occurred following a 7-second countdown at fixed locations on the course. Significant differences were found between groups in terms of lanekeeping ability immediately after taking control following a period of automated vehicle control or partial driver/automation control, but significant differences were not found in accident evasion ability, even five seconds after resuming full control

    Partially intelligent automobiles and driving experience at the moment of system transition

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    Cross-Layer System Design for Autonomous Driving

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    Autonomous driving has gained tremendous popularity and becomes one of the most emerging applications recently, which allows the vehicle to drive by itself without requiring help from a human. The demand of this application continues to grow leading to ever increasing investment from industry in the last decade. Unfortunately, autonomous driving systems remain unavailable to the public and are still under development even with the recent considerable advancement achieved in our community. Several key challenges are observed across the stack of autonomous driving systems and must be addressed to bridge the gap. This dissertation investigates cross-layer autonomous driving systems from hardware architecture, software algorithms to human-vehicle interaction. In the hardware architecture layer, we investigate and present the design constraints of autonomous driving systems. With an end-to-end autonomous driving system framework we built, we accelerate the computational bottlenecks identified and thoroughly investigate the implications and trade-offs across various accelerator platforms. In the software algorithm layer, we propose an accelerating technique for object recognition, which is one of the critical bottlenecks in autonomous driving systems. We exploit the similarity across frames in streaming videos for autonomous vehicles and reuse the intermediate outputs computed in the algorithm to reduce the computation required and improve the performance. In the human-vehicle interaction layer, we design a conversational in-vehicle interface framework which enables drivers to interact with vehicles by using natural human language to improve the usability of autonomous driving features. We also integrate this framework into a commercially available vehicle and conduct a real-world driving study.PHDComputer Science & EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/149951/1/shihclin_1.pd

    Interaction in Digital Ecologies with Connected and Non-Connected Cars

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    INTERACT 2015 Adjunct Proceedings. 15th IFIP TC.13 International Conference on Human-Computer Interaction 14-18 September 2015, Bamberg, Germany

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    INTERACT is among the world’s top conferences in Human-Computer Interaction. Starting with the first INTERACT conference in 1990, this conference series has been organised under the aegis of the Technical Committee 13 on Human-Computer Interaction of the UNESCO International Federation for Information Processing (IFIP). This committee aims at developing the science and technology of the interaction between humans and computing devices. The 15th IFIP TC.13 International Conference on Human-Computer Interaction - INTERACT 2015 took place from 14 to 18 September 2015 in Bamberg, Germany. The theme of INTERACT 2015 was "Connection.Tradition.Innovation". This volume presents the Adjunct Proceedings - it contains the position papers for the students of the Doctoral Consortium as well as the position papers of the participants of the various workshops
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