The Experts below are selected from a list of 24432 Experts worldwide ranked by ideXlab platform
Rizal Othman - One of the best experts on this subject based on the ideXlab platform.
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SMC - Development of a sensor system for grasp behavior on a Steering Wheel
2009 IEEE International Conference on Systems Man and Cybernetics, 2009Co-Authors: Takashi Imamura, Zhong Zhang, Tetsuo Miyake, Rizal OthmanAbstract:The prevention of car accidents is one of the main issues in any car-oriented society. A method for this kind of prevention system is the estimation of the driver's conditions based on human sensing. This research's aim is the development of a measurement system for human behavior by using contact sensing on a Steering Wheel. In this paper, a sensing system using an array of small pressure sensors is proposed, and a design method for the sensor part on the Steering Wheel based on a fundamental analysis of the driver's operation of the Steering Wheel and its validity are discussed. Finally, characteristics of the proposed sensor system are evaluated through implementation on a real Steering Wheel device.
Zachariah C. Alex - One of the best experts on this subject based on the ideXlab platform.
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Implementation of Steering Wheel angle sensor system with Controlled Area Network
2017 International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), 2017Co-Authors: Susan Zacharia, Tony George, Elizabeth Rufus, Zachariah C. AlexAbstract:This Steering Wheel angle sensor is most important component in automotive vehicle. For +/− 720°-degree rotation measurement of Steering Wheel need a special design, since conventional sensors measuring angle of rotation can measure only 360°. The Steering Wheel angle has to be resolved over the complete range at any time and the data should be available to the other subsystems which use this angle data available immediately after the system power on. In this paper describe a Steering Angle Sensor for a +-720° (a total of 4 complete turns) acquisition with the application of Giant Magnetic Resistance (GMR) sensors. For control tasks and further applications, the angle data need to be provided over a Binary Unit System (BUS) like Controlled Area Network to other system participants. This set-up provides reliable and fast angle values.
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Design and Development of Labview Based Steering Wheel Angle Sensor System
International journal of engineering and technology, 2015Co-Authors: Tony George, Susan Zacharia, Elizabeth Rufus, Zachariah C. AlexAbstract:Conventional angle sensors can measure only 360°,but passenger car Steering Wheel turns through +/-720 (a total of 4 complete turns). In this paper we describe iGMR based Steering Wheel angle sensor implementation which can be used as a rotation sensor to measure +/720°. KeywordSteering Wheel Angle Sensor, IGMR, Angle Sensor, GMR.
Takashi Imamura - One of the best experts on this subject based on the ideXlab platform.
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SMC - Development of a sensor system for grasp behavior on a Steering Wheel
2009 IEEE International Conference on Systems Man and Cybernetics, 2009Co-Authors: Takashi Imamura, Zhong Zhang, Tetsuo Miyake, Rizal OthmanAbstract:The prevention of car accidents is one of the main issues in any car-oriented society. A method for this kind of prevention system is the estimation of the driver's conditions based on human sensing. This research's aim is the development of a measurement system for human behavior by using contact sensing on a Steering Wheel. In this paper, a sensing system using an array of small pressure sensors is proposed, and a design method for the sensor part on the Steering Wheel based on a fundamental analysis of the driver's operation of the Steering Wheel and its validity are discussed. Finally, characteristics of the proposed sensor system are evaluated through implementation on a real Steering Wheel device.
Fu Quan Zhao - One of the best experts on this subject based on the ideXlab platform.
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Analysis of influence of Wheel eccentricity on Steering Wheel shimmy
Zhongguo Gonglu Xuebao China Journal of Highway and Transport, 2011Co-Authors: Yun Shi Yao, Fang Wu Ma, Zhong Xu Feng, Hai Lin Wang, Fu Quan ZhaoAbstract:In order to enhance vehicle handling stability and traveling comfort, influence of Wheel eccentricity on Steering Wheel shimmy was discussed based on theoretical analysis and field vehicle test. Regarded level B vehicle as research object, comparison tests of prototype were carried out after analysis of Steering Wheel shimmy caused by eccentric forces of Wheel and unbalance mass. Results show that compared with the dynamic balance adjustment of Wheel, the bushing adjustment of swing-arm has more effect on Steering Wheel shimmy, but both of them can't obviously cut down vibrational acceleration amplitude. Wheel eccentricity adjustment has significant influence on Steering Wheel shimmy. Vibrational acceleration amplitude cuts down around 2 times after Wheel eccentricity adjustment. Compared with unbalance mass, eccentricity of Wheel has more contribution on Steering Wheel shimmy and the Steering Wheel shimmy is improved by controlling Wheel eccentricity.
Stephen J. H. Yang - One of the best experts on this subject based on the ideXlab platform.
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UIST - Reinventing the Wheel: Transforming Steering Wheel Systems for Autonomous Vehicles
Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017Co-Authors: Brian Mok, Mishel Johns, Stephen J. H. YangAbstract:In this paper, we introduce two different transforming Steering Wheel systems that can be utilized to augment user experience for future partially autonomous and fully autonomous vehicles. The first one is a robotic Steering Wheel that can mechanically transform by using its actuators to move the various components into different positions. The second system is a LED Steering Wheel that can visually transform by using LEDs embedded along the rim of Wheel to change colors. Both Steering Wheel systems contain onboard microcontrollers developed to interface with our driving simulator. The main function of these two systems is to provide emergency warnings to drivers in a variety of safety critical scenarios, although the design space that we propose for these Steering Wheel systems also includes the use as interactive user interfaces. To evaluate the effectiveness of the emergency alerts, we conducted a driving simulator study examining the performance of participants (N=56) after an abrupt loss of autonomous vehicle control. Drivers who experienced the robotic Steering Wheel performed significantly better than those who experienced the LED Steering Wheel. The results of this study suggest that alerts utilizing mechanical movement are more effective than purely visual warnings.
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actions speak louder effects of a transforming Steering Wheel on post transition driver performance
International Conference on Intelligent Transportation Systems, 2017Co-Authors: Brian Mok, Mishel Johns, Stephen J. H. YangAbstract:For partially autonomous vehicles, the user interface conveys vital information to drivers and can greatly influence how drivers behave after a transition of control from automation. Conventional interfaces that use audio and visual channels are helpful, but are limited in effectiveness. In this paper, we explore the use of a transforming Steering Wheel interface to assist drivers in transitions of control. We conducted two studies evaluating the effects of this system on driver performance and user experience. The first is a quantitative controlled study examining driving performance after an abrupt loss of autonomous vehicle control. The participants (N = 56) experienced a simulated driving scenario that varied the behavior of the Steering Wheel (transforming and non-transforming) and the transition time (2 seconds and 5 seconds). Drivers who experienced the transforming Steering Wheel performed significantly better than those who experienced a non-transforming Steering Wheel. The second study is qualitative and exploratory, where interaction experts (N = 14) evaluated the transforming Steering Wheel using design improvisation. The findings of these two studies suggest that a transforming Steering Wheel can be utilized to better assist drivers in taking back control in future autonomous vehicles.
