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The demand for ASV (Active Safety System), Infotainment (TV, video, game, navigation system) systems, telematics devices, x-by-wire systems, remote diagnostics and other advanced vehicle electronics is significantly increasing the number of ECUs (electronic control units) of cars compared to the past. The increased number of ECUs would require higher bandwidth bus or multiple buses for the in-vehicle networks of the future. However, applying higher bandwidth bus or multiple buses tend to increase the cost and complexity of the wiring. As a potential solution, data reduction to decrease busload of CAN network is investigated and presented in this paper. An active CAN data reduction algorithm for in-vehicle network is introduced and simulated.
In this paper, we described about evaluation of human sensibility using automatic parking assistance system. The perpendicular parking and parallel parking have been carried out as a user test and subjects are classified as beginning drivers, drivers with less than 1 year experience and over 3 years experience. As a result, parking duration of beginning drivers and drivers with less than 1 year experience who use automatic parking assistance system is similar to drivers with over 3 years experience. However error occurred according to sensor position and distance between vehicle and parking space. And also it occurred that the vehicle leaves from parking line or does not recognize the parking space. Therefore, if we improve its completeness by compensating problems that came up from this evaluation and distribute the automatic parking assistance system, it is expected that the automatic parking assistance system is to help driver providing convenience of parking.
Currently, the spread of electric vehicle(EV) is moving rather slowly than expected due to various reasons. One of the major stumbling block is a lack of charging infrastructure to support the easy recharging of the battery. In an effort to promote the wider use of EV for greener environment, many legislative efforts are being conducted. The research on the electric bus(E-Bus) with replaceable battery is new Technology in public transportation System. But E-Bus with replaceable battery have few weak point that was a short driving distance, Absence of Emergency Response System and Battery Supply System. So we design and implement Mobile Charging System that has keeping batteries, left up and down batteries to QCM(Quick Change Machine), self charging inside batteries and charging E-Bus to batteries in MCS. And this paper described about issues of implementation of Mobile Charging System for electric vehicle infrastructure.
In this paper, we described about evaluation of human sensibility using park assist system of the commercial vehicle. The perpendicular parking and parallel parking have been carried out as a user test and subjects are classified as beginning drivers, drivers with less than 1 year experience and over 3 years experience. As a result, parking duration of beginning drivers and drivers with less than 1 year experience who use automatic parking assistance system is similar to drivers with over 3 years experience. However error occurred according to sensor position and distance between vehicle and parking space. And also it occurred that the vehicle leaves from parking line or does not recognize the parking space. Therefore, if we improve its completeness by compensating problems that came up from this evaluation and distribute the automatic parking assistance system, it is expected that the park assistance system is to help driver providing convenience of parking.
Vehicles have developed with an objective of safety, environment, and facility. In the current in-vehicle network, roughly four types of different networks are connected through gateways with the consideration of cost and efficiency by the property of control ECU, but the number of sensor node of this network frame is restricted. The number of sensor required by Advanced Safety Vehicle that provides more intelligent and automatic services, and the network frame in which the in-vehicle sensor data are maintained, managed, and manifested to provide the extensity of sensor. This paper propose a basic elements and functions of in-vehicle sensor network that can manage the in-vehicle sensors more efficiently, and a smart vehicle sensor network platform technique laying stress on gateway middleware software architecture based on AMI-C and OSGi standard to correspond with future ITS circumstances and automobile industry.
Technologies have been developed actively to enhance safe driving in the intelligent automobile technology field and the head lamp technology is taking an important part of the development. Currently, adaptive front lighting system integrated with camera or navigation is under development, and it provides the beam pattern actively optimized according to various road conditions to give a wider view to enhance safe driving, and this study intends to develop an optimized method for evaluating the system which integrates the camera technology and navigation technology with the head lamp technology. An environment capable of evaluating head lamp technology with navigation and camera was developed in a simple actuator control technology oriented evaluation environment by using the vehicle simulator and GPS radiation system.
Prior to the development of a system that considers the safety of the occupant, research of the behavior of the occupant state is necessary. In addition, the information about the occupant body type, the type of the vehicle and its condition is also important. It is necessary to study the behavior of the state of the occupant in an environment where the internal structure of the vehicle is taken into account. In this paper, a multi-body model for analysis of the occupants in various environment is suggested. It is based on Madymo (HybridII) and the modeling is done by matching the value of the result. Error for the match is ± 1.5cm. Suggested model can be used to analyse the occupant for variety of environments. The new model can be applied through the matching of the result value.
This study covered about the establishment of evaluation environment for DHB headlamp using virtual vehicle simulator. Because the performance evaluation of headlamp has time and space restraints, the novel method is needed. In this research, the environment of performance evaluation for the DHB headlamp was established based on the simulator for vehicle. The virtual motor way was realized and the scenario for lamp test was established. And the test of lamp had been using a test bed.
Open Standard Telematics Platform is based on the AMI-C architecture, which is a standard for efficiently integrating multimedia devices into a vehicle. VI(Vehicle Interface), which is defined on the AMI-C standard, performs a role of a gateway in an AMI-C network. This controls and provides vehicle information to the AMI-C compatible devices which are in the AMI-C network by converting vehicle information in the network domain into a logical structure. An integrated VI structure has been developed to provide a VS(Vehicle Service) on a standard platform. To minimize the message loss problem due to the platform operation delay which is caused by the power supply in the case of operating a CAN network of a vehicle, an interworking structure with a CAN gateway to provide an efficient VI has been implemented. The efficiency has been verified using CANoe which is a vehicle-network simulation tool.
KATECH(Korea Automotive Technology Institute) has been developing a driving simulator named KAAS(KATECH Advanced Automotive Simulator) which includes spherical screen with 360x35 deg FOV(Field of View), a full dome, a medium size full car cabin, a large scale 6DOF motion platform(5.5 ton payload; full dome screen and car cabin is placed on the motion platform), scenario operating system and others. Among the driving simulator systems in Asia, KAAS is the largest one. As a result of three years of research, KAAS system is now in test operation. KAAS system will be used for developing advanced automotive electronics such as telematics, advanced safety devices, and driver assistance systems proving an accident-free test and development environment for Korean automotive manufactures. In order to satisfy the original purpose of the simulator, the KAAS system will be integrated with real-time HILS system, vehicle network simulation system, wireless communication simulation devices, high speed signal analysis devices, driver perception analysis system, and GPS signal simulation system.