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In this paper, we suggest a new control algorithm for driver's intention judgment for collision avoidance using a steering system to improve the emergency steering system performance. Most of the collision avoidance systems proposed by previous works relied only on the braking systems. Recently the automotive industry began to consider ways to avoid collisions using the steering system. It is not hard to imagine that any steering-assisted collision avoidance algorithm must judge a driver's intention for lane change before any attempt at longitudinal avoidance is made. To improve the accuracy of driver's intention judgment and thus the performance of the emergency steering system, we developed a new algorithm based on on-center handling characteristics generated by the steering system. The performance of the proposed driver's intention algorithm was validated in the test of real vehicles as well as in the SILS environment.

This paper describes an investigation into multi-core processing architecture for implementation of a Unified Chassis Control (UCC) algorithm. The multi-core architecture is suggested to reduce the operating load and maximization of the reliability to improve of the UCC system performance. For the purpose of this study, the proposed multi-core architecture supports distributed control with analytical and physical redundancy capabilities. In this paper, the UCC algorithm embedded in electronic control unit (ECU) is comprised of three parts; a supervisor, a main controller, and fault detection/ isolation/ tolerance control (FDI/FTC). An ECU is configured by three processors, and a control area network (CAN) is also implemented for hardware-in-the-loop (HILS) evaluation. Two types of multi-core architectures such as distributed processing, and triple voting are implemented to investigate the performance and reliability.

The integrated control system of Electronic Stability Control (ESC) and Motor-Driven Power Steering (MDPS) improves vehicle performance and extends functions via CAN network without any hardware modification. Although the ESC and MDPS integrated system does not improve vehicle behavior directly, it can inspire drivers to steer to the right direction by changing steering torque assistance characteristics. There are two different ways to control both ESC and MDPS systems: Top-down and Parallel control mode. First, the Top-down control mode, which is already widely used on the market, imposes ESC on the additional functions of ESC+MDPS integrated system. On the contrary, the Parallel control mode distributes the functions to ESC and MDPS, therefore each system does their own role and cooperates on special events. In this study, the parallel control mode controller is proposed and compared with the Top-down control mode.