By Yaobin Chen and Lingxi Li (Auth.)
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Highlighting necessities, applied sciences, and enterprise types, this instruction manual presents a accomplished assessment of present and destiny automobile digital structures. It provides state of the art methodological and technical options within the components of in-vehicle architectures, multipartner improvement strategies, software program engineering equipment, embedded communications, and defense and dependability evaluate. delivering balanced viewpoints from and educational specialists, motor vehicle brands, and providers, the publication outlines the good points and functioning schemes of CAN, LIN, FlexRay, and TTCAN protocols. It additionally addresses the most difficulties within the layout of car embedded structures.
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Additional info for Advances in Intelligent Vehicles
S. R. Chang, Modeling and hierarchical tracking control of tri-wheeled mobile robots, IEEE Transaction on Robotics 22 (5) (2006) 1055e1062. H. X. Xu, Variable structure systems: Toward the 21st Century, Springer, Berlin, 2002. H. Man et al. -Y. -J. Lin, Robust nonsingular terminal sliding model control for nonlinear magnetic bearing system, IEEE Transaction on Control Systems Technology 19 (3) (2011) 636e643.  H. F. Li, Terminal sliding mode control for spacecraft formation flying, IEEE Transaction on Aerospace and Electronic Systems 45 (3) (2009) 835e846.
As we have developed a series of intelligent vehicles over the years and started using modeled, simulated, and recorded computer constructs, the term evolved into “virtual cars” and “virtual agents”. The following paragraphs describe one application of “virtual car” use with specific focus on scenario safety. This example focuses on the testing stages of a “Driver Intention Estimator” developed at OSU CITR in collaboration with Honda R&D of Americas, Inc. The actual estimator software uses Vehicle-to-Vehicle (V2V) communications to detect, track, and predict the behavior of other vehicles as the ego vehicle approaches an intersection.
5: Simulation of an Intersection Scenario with Simulated LIDAR Rays Visible. Ó 2008 IEEE. Reprinted with permission from “Simulation and testing environments for the DARPA Urban Challenge”, IEEE International Conference on Vehicular Electronics and Safety, 2008. ICVES 2008, 22e24 September 2008, pp. 222e226. As part of the continuing Cyber-Physical Systems (CPS) research program at OSU, the CITR testbed discussed in the following paragraphs was used as a successful teaching tool for high school students.