Real-Time Assessment of Secondary Task Intrusiveness upon Real-World Driver Steering Performance using a Fiber-Optic Gyroscope

2000 ◽  
Vol 44 (20) ◽  
pp. 3-306-3-307
Author(s):  
Frank Schieber ◽  
Korin J. Werner ◽  
Jessica M. Larsen
2019 ◽  
Vol 48 (12) ◽  
pp. 1206002-1206002
Author(s):  
Chun-fu HUANG Chun-fu HUANG ◽  
An LI An LI ◽  
Fang-jun QIN Fang-jun QIN ◽  
Zhi WANG Zhi WANG

2013 ◽  
Vol 365-366 ◽  
pp. 658-661
Author(s):  
Ying Bo Cai ◽  
Huan Zha ◽  
Xue Tong Wei

Demand for high-speed fiber optic gyroscope data acquisition and real-time record, the design of the SD Card as storage medium to large capacity fiber optic gyro high - speed real - time acquisition and bulk storage systems, The system by applying the sd2.0 protocol and fat32 file systems in the system, enable real - time Data Acquisition of fiber optic gyro and large capacity storage. Experiments have shown that the system properly designed, easy to use, high reliability to meet the actual demand, is of important practical significance.


2018 ◽  
Author(s):  
Kyle Plunkett

This manuscript provides two demonstrations of how Augmented Reality (AR), which is the projection of virtual information onto a real-world object, can be applied in the classroom and in the laboratory. Using only a smart phone and the free HP Reveal app, content rich AR notecards were prepared. The physical notecards are based on Organic Chemistry I reactions and show only a reagent and substrate. Upon interacting with the HP Reveal app, an AR video projection shows the product of the reaction as well as a real-time, hand-drawn curved-arrow mechanism of how the product is formed. Thirty AR notecards based on common Organic Chemistry I reactions and mechanisms are provided in the Supporting Information and are available for widespread use. In addition, the HP Reveal app was used to create AR video projections onto laboratory instrumentation so that a virtual expert can guide the user during the equipment setup and operation.


Electronics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 13
Author(s):  
Balaji M ◽  
Chandrasekaran M ◽  
Vaithiyanathan Dhandapani

A Novel Rail-Network Hardware with simulation facilities is presented in this paper. The hardware is designed to facilitate the learning of application-oriented, logical, real-time programming in an embedded system environment. The platform enables the creation of multiple unique programming scenarios with variability in complexity without any hardware changes. Prior experimental hardware comes with static programming facilities that focus the students’ learning on hardware features and programming basics, leaving them ill-equipped to take up practical applications with more real-time constraints. This hardware complements and completes their learning to help them program real-world embedded systems. The hardware uses LEDs to simulate the movement of trains in a network. The network has train stations, intersections and parking slots where the train movements can be controlled by using a 16-bit Renesas RL78/G13 microcontroller. Additionally, simulating facilities are provided to enable the students to navigate the trains by manual controls using switches and indicators. This helps them get an easy understanding of train navigation functions before taking up programming. The students start with simple tasks and gradually progress to more complicated ones with real-time constraints, on their own. During training, students’ learning outcomes are evaluated by obtaining their feedback and conducting a test at the end to measure their knowledge acquisition during the training. Students’ Knowledge Enhancement Index is originated to measure the knowledge acquired by the students. It is observed that 87% of students have successfully enhanced their knowledge undergoing training with this rail-network simulator.


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