Pub Date : 2007-12-01DOI: 10.1109/ICVES.2007.4456369
Yunfeng Ai, Yuan Sun, Wuling Huang, X. Qiao
With the enormous market potentials of telematics industry and for further gains in safety and convenience, automotive telematics has become a hot R&D area in mobile computing and ITS. Quite a number of telematics services have been proposed by automakers and third-party service providers. This paper describes an OSGi based in-vehicle telematics service platform, by which telematics services can be accessed by end users. Both the hardware and software platforms are analyzed from the application and implementation points of view. Finally, application examples are introduced and some concluding remarks are drawn for this paper.
{"title":"OSGi based integrated service platform for automotive telematics","authors":"Yunfeng Ai, Yuan Sun, Wuling Huang, X. Qiao","doi":"10.1109/ICVES.2007.4456369","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456369","url":null,"abstract":"With the enormous market potentials of telematics industry and for further gains in safety and convenience, automotive telematics has become a hot R&D area in mobile computing and ITS. Quite a number of telematics services have been proposed by automakers and third-party service providers. This paper describes an OSGi based in-vehicle telematics service platform, by which telematics services can be accessed by end users. Both the hardware and software platforms are analyzed from the application and implementation points of view. Finally, application examples are introduced and some concluding remarks are drawn for this paper.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128090868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-01DOI: 10.1109/ICVES.2007.4456376
Qingmei Yang, Jianmin Sun
The location system is a key technology of autonomous vehicle. Autonomous vehicle can sense all kinds of information and make decisions during moving out of door. The integrated GPS/INS location system of autonomous vehicle based on data fusion is studied in the paper. Based on the analysis of location methods, such as the Global Positioning System (GPS), inertial navigation system (INS), dead reckoning (DR) system and the vector electronic map, GPS and IMS are integrated in the location system of the autonomous vehicle. The GPS/INS integrated location system is designed. Kalman filter is used in the GPS subsystem and the IMS subsystem. Data of fusion of INS/GPS is simulated. The results of simulation show that the fusion location can improve the precision and reliability of the location system.
{"title":"A location method for autonomous vehicle based on integrated GPS/INS","authors":"Qingmei Yang, Jianmin Sun","doi":"10.1109/ICVES.2007.4456376","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456376","url":null,"abstract":"The location system is a key technology of autonomous vehicle. Autonomous vehicle can sense all kinds of information and make decisions during moving out of door. The integrated GPS/INS location system of autonomous vehicle based on data fusion is studied in the paper. Based on the analysis of location methods, such as the Global Positioning System (GPS), inertial navigation system (INS), dead reckoning (DR) system and the vector electronic map, GPS and IMS are integrated in the location system of the autonomous vehicle. The GPS/INS integrated location system is designed. Kalman filter is used in the GPS subsystem and the IMS subsystem. Data of fusion of INS/GPS is simulated. The results of simulation show that the fusion location can improve the precision and reliability of the location system.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125583030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-01DOI: 10.1109/ICVES.2007.4456359
Jie Zhang, Yunqing Zhang, Liping Chen, Jingzhou Yang
This paper presents a fuzzy logic control strategy on four-wheel steering(4WS) vehicle based on a multi-body vehicle dynamic model. The multi-body vehicle dynamic model based on ADAMS can accurately predict the dynamics performance of the vehicle. Fuzzy logic is applied to track the yaw velocity of the two degrees of freedom ideal model through the co-simulation of ADAMS and Matlab Fuzzy control unit with the optimized membership function. The fuzzy control parameters are optimized and analyzed by a combined optimization algorithm (Genetic Algorithm (GA) and Nonlinear Programming Quadratic Line search (NLPQL) method) combined with response surface model (RSM). Single lane change test is chosen to validate the fuzzy control logic strategy. Simulation result shows that four-wheel steering vehicle with the fuzzy control logic strategy can improve vehicle handling stability greatly comparing with traditional front wheel steering.
{"title":"A fuzzy control strategy and optimization for four wheel steering system","authors":"Jie Zhang, Yunqing Zhang, Liping Chen, Jingzhou Yang","doi":"10.1109/ICVES.2007.4456359","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456359","url":null,"abstract":"This paper presents a fuzzy logic control strategy on four-wheel steering(4WS) vehicle based on a multi-body vehicle dynamic model. The multi-body vehicle dynamic model based on ADAMS can accurately predict the dynamics performance of the vehicle. Fuzzy logic is applied to track the yaw velocity of the two degrees of freedom ideal model through the co-simulation of ADAMS and Matlab Fuzzy control unit with the optimized membership function. The fuzzy control parameters are optimized and analyzed by a combined optimization algorithm (Genetic Algorithm (GA) and Nonlinear Programming Quadratic Line search (NLPQL) method) combined with response surface model (RSM). Single lane change test is chosen to validate the fuzzy control logic strategy. Simulation result shows that four-wheel steering vehicle with the fuzzy control logic strategy can improve vehicle handling stability greatly comparing with traditional front wheel steering.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126561100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-01DOI: 10.1109/ICVES.2007.4456405
J. Suwatthikul, R. McMurran, R.P. Jones
Rapid growth in the deployment of networked electronic control units (ECUs) and enhanced software features within automotive vehicles has occurred over the past two decades. This inevitably results in difficulties and complexity in in-vehicle network fault diagnostics. To overcome these problems, a framework for on-board in-vehicle network diagnostics has been proposed and its concept has previously been demonstrated through experiments. This paper presents a further implementation of network fault detection within the framework. Adaptive OSEK Network Management, a new technique for detecting network level faults, is presented. It is demonstrated in this paper that this technique provides more accurate fault detection and the capability to cover more fault scenarios.
{"title":"Adaptive OSEK Network Management for in-vehicle network fault detection","authors":"J. Suwatthikul, R. McMurran, R.P. Jones","doi":"10.1109/ICVES.2007.4456405","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456405","url":null,"abstract":"Rapid growth in the deployment of networked electronic control units (ECUs) and enhanced software features within automotive vehicles has occurred over the past two decades. This inevitably results in difficulties and complexity in in-vehicle network fault diagnostics. To overcome these problems, a framework for on-board in-vehicle network diagnostics has been proposed and its concept has previously been demonstrated through experiments. This paper presents a further implementation of network fault detection within the framework. Adaptive OSEK Network Management, a new technique for detecting network level faults, is presented. It is demonstrated in this paper that this technique provides more accurate fault detection and the capability to cover more fault scenarios.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132819347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-01DOI: 10.1109/ICVES.2007.4456397
R. Sosa, G. Velazquez
Insurance companies have notice that since 1984, a couple of years after antilock braking systems (ABS) were introduced in market, traffic accidents and its injuries have been decreased. Developments in electronics and mechanics have improved the vehicle performance in collision. Lately several developments on preventing or avoiding collision have raised as active safety systems or so called in Europe, Advanced Driver Assistance Systems (ADAS). Systems as adaptive cruise control, lane change assist and blind spot detection have been developed facing the challenge of avoiding collision. In present paper is shown a model of collision avoidance for automotive applications. The system includes a model for vehicle dynamics: it was developed with the causal software AMESIM. Decision functions were developed to determine when an object is a dangerous obstacle, those functions depends on relative speed, and distance between host vehicle and obstacle. Vehicle model and decision functions are integrated to become a system for collision avoidance. The system warns the driver in a distance safe enough to avoid the collision in case the driver neglects warnings, the system begins braking in order to decrease damage severity if the collision happens or even avoid it. The simulation results of selected collision scenarios are presented. Also a brief description of available sensors for this application is shown.
{"title":"Obstacles detection and collision avoidance system developed with virtual models","authors":"R. Sosa, G. Velazquez","doi":"10.1109/ICVES.2007.4456397","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456397","url":null,"abstract":"Insurance companies have notice that since 1984, a couple of years after antilock braking systems (ABS) were introduced in market, traffic accidents and its injuries have been decreased. Developments in electronics and mechanics have improved the vehicle performance in collision. Lately several developments on preventing or avoiding collision have raised as active safety systems or so called in Europe, Advanced Driver Assistance Systems (ADAS). Systems as adaptive cruise control, lane change assist and blind spot detection have been developed facing the challenge of avoiding collision. In present paper is shown a model of collision avoidance for automotive applications. The system includes a model for vehicle dynamics: it was developed with the causal software AMESIM. Decision functions were developed to determine when an object is a dangerous obstacle, those functions depends on relative speed, and distance between host vehicle and obstacle. Vehicle model and decision functions are integrated to become a system for collision avoidance. The system warns the driver in a distance safe enough to avoid the collision in case the driver neglects warnings, the system begins braking in order to decrease damage severity if the collision happens or even avoid it. The simulation results of selected collision scenarios are presented. Also a brief description of available sensors for this application is shown.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131787673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-01DOI: 10.1109/ICVES.2007.4456361
Kunfeng Wang, Hua Huang, Yuantao Li, Fei-Yue Wang
In this paper, we present a novel camera calibration method which requires only a few easy attainable lane markings in traffic scenes. All we need to know beforehand are a pair of parallel lane markings with known lane width and either the camera height or the length of a land marking parallel to the road. If the camera height is known a-prior, a set of camera parameters such as the focal length, the tilt angle, and the pan angle can be recovered; if the length of a land marking parallel to the road is known a-prior, not only the above camera parameters, but the camera height can also be recovered. We show experimentally that the proposed method is capable of achieving accurate results in most traffic monitoring applications, including inverse perspective transformation and even 3-D estimation of vehicle dimensions.
{"title":"Research on lane-marking line based camera calibration","authors":"Kunfeng Wang, Hua Huang, Yuantao Li, Fei-Yue Wang","doi":"10.1109/ICVES.2007.4456361","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456361","url":null,"abstract":"In this paper, we present a novel camera calibration method which requires only a few easy attainable lane markings in traffic scenes. All we need to know beforehand are a pair of parallel lane markings with known lane width and either the camera height or the length of a land marking parallel to the road. If the camera height is known a-prior, a set of camera parameters such as the focal length, the tilt angle, and the pan angle can be recovered; if the length of a land marking parallel to the road is known a-prior, not only the above camera parameters, but the camera height can also be recovered. We show experimentally that the proposed method is capable of achieving accurate results in most traffic monitoring applications, including inverse perspective transformation and even 3-D estimation of vehicle dimensions.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130599091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-01DOI: 10.1109/ICVES.2007.4456390
R. Niu, Yuan Cao, T. Tang
TTP/C is a member of the time-triggered protocol (TTP) family that satisfies Society of Automotive Engineers Class C requirements for hard real-time fault-tolerant communication. As a communication network designed for safety-critical system, it is essential to verify its safety depending on formal methods. We investigate the fault-tolerant and fault-avoidance strategies of TTP/C network used in Drive-by-wire system, with Markov modeling techniques, and evaluate the failure rate subject to different failure modes, taking into account both transit and permanent physical failures. Generalized Stochastic Petri Net (GSPN) is selected to model concurrency, non-determinism properties and calculate Markov model automatically. A model with 157 states and 78 transitions is built. The result of experiments shows that failure probability of TTP/C network in 7-nodes DBW system varies from 10-6 to 10-10 with different configuration. And diagnose mistakes are proved to be a critical factor for the success of membership service.
{"title":"Formal safety verification for TTP/C network in Drive-by-wire system","authors":"R. Niu, Yuan Cao, T. Tang","doi":"10.1109/ICVES.2007.4456390","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456390","url":null,"abstract":"TTP/C is a member of the time-triggered protocol (TTP) family that satisfies Society of Automotive Engineers Class C requirements for hard real-time fault-tolerant communication. As a communication network designed for safety-critical system, it is essential to verify its safety depending on formal methods. We investigate the fault-tolerant and fault-avoidance strategies of TTP/C network used in Drive-by-wire system, with Markov modeling techniques, and evaluate the failure rate subject to different failure modes, taking into account both transit and permanent physical failures. Generalized Stochastic Petri Net (GSPN) is selected to model concurrency, non-determinism properties and calculate Markov model automatically. A model with 157 states and 78 transitions is built. The result of experiments shows that failure probability of TTP/C network in 7-nodes DBW system varies from 10-6 to 10-10 with different configuration. And diagnose mistakes are proved to be a critical factor for the success of membership service.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131969594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-01DOI: 10.1109/ICVES.2007.4456409
Xun Dai, A. Kummert, S. B. Park, U. Iurgel
Automotive radar application is a focus in active traffic safety research activities. And an accurate lateral position estimation from the leading target vehicle through radar is of great interest. This paper presents a method based on the regression tree, which estimates the rear centroid of leading target vehicle with a long range FLR (Forward Looking Radar) of limited resolution with multiple radar detections distributed on the target vehicle. Hours of radar log data together with reference value of leading vehicle's lateral offset are utilized both as training data and test data as well. A ten-fold cross validation is applied to evaluate the performance of the generated regression trees together with fused decision forest for each percentage of the training data. As a result, compared with the current approach which calculates the mean of lateral offset, the regression tree and decision forest approach yield more accurate position estimation of the lateral offset from a single leading target vehicle with radar multiple detections.
{"title":"Vehicle centroid estimation based on radar multiple detections","authors":"Xun Dai, A. Kummert, S. B. Park, U. Iurgel","doi":"10.1109/ICVES.2007.4456409","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456409","url":null,"abstract":"Automotive radar application is a focus in active traffic safety research activities. And an accurate lateral position estimation from the leading target vehicle through radar is of great interest. This paper presents a method based on the regression tree, which estimates the rear centroid of leading target vehicle with a long range FLR (Forward Looking Radar) of limited resolution with multiple radar detections distributed on the target vehicle. Hours of radar log data together with reference value of leading vehicle's lateral offset are utilized both as training data and test data as well. A ten-fold cross validation is applied to evaluate the performance of the generated regression trees together with fused decision forest for each percentage of the training data. As a result, compared with the current approach which calculates the mean of lateral offset, the regression tree and decision forest approach yield more accurate position estimation of the lateral offset from a single leading target vehicle with radar multiple detections.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122183605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-01DOI: 10.1109/ICVES.2007.4456374
Xu Shuo, Luo Zhe, Yu Fan, Zhou Ke, Zhang Yongchao
Based on the analyses of the resistances and driving force for a semi-track air-cushion vehicle (STACV) operating in severe working conditions, the theoretical models for traction efficiency and total power consumption are established, and the relationships between slip ratio and traction efficiency, total power consumption are examined respectively. In different speed conditions, the control targets are selected correspondingly. For example, in the present study, maximizing traction efficiency and minimizing total power consumption are selected as control targets respectively in starting acceleration case and uniform velocity case. A slip ratio control system with a fuzzy PID controller is designed to achieve the control targets by regulating driving torque for the semi-tracks' driving wheels. In MATLAB/Simulink software environment, simulations are carried out to examine the proposed control system in different operating conditions including a level and a ramp terrain cases. Simulation results show that the optimal operation state can be obtained and maintained by using the designed control system.
{"title":"Slip ratio control for a semi-track air-cushion vehicle","authors":"Xu Shuo, Luo Zhe, Yu Fan, Zhou Ke, Zhang Yongchao","doi":"10.1109/ICVES.2007.4456374","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456374","url":null,"abstract":"Based on the analyses of the resistances and driving force for a semi-track air-cushion vehicle (STACV) operating in severe working conditions, the theoretical models for traction efficiency and total power consumption are established, and the relationships between slip ratio and traction efficiency, total power consumption are examined respectively. In different speed conditions, the control targets are selected correspondingly. For example, in the present study, maximizing traction efficiency and minimizing total power consumption are selected as control targets respectively in starting acceleration case and uniform velocity case. A slip ratio control system with a fuzzy PID controller is designed to achieve the control targets by regulating driving torque for the semi-tracks' driving wheels. In MATLAB/Simulink software environment, simulations are carried out to examine the proposed control system in different operating conditions including a level and a ramp terrain cases. Simulation results show that the optimal operation state can be obtained and maintained by using the designed control system.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127064400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-12-01DOI: 10.1109/ICVES.2007.4456362
Li Hong-qiang, Miao Chang-yun, Wang Hua-ping
Increasing demand for dynamically controlled safety features, passenger comfort, and operational convenience in automobiles requires an intensive use of electronic control units. This paper presents an efficient System-On-a-Chip implementation of the electronic control unit (ECU) for car body control. The ECU includes a CPU and basic functions like SRAM and clock generator. With the flexibility of an FPGA, the ECU can be adopted to any available bus like CAN, LIN, FlexRay or a proprietary bus without changing the system architecture and adding additional external components. To improve the individual response time and to escape from some eventual trapped-function loops, High/Low ports of the ECU are simply used, which increases the stability of the actuator modules. A soft processor core optimised for FPGA is used as system controller and also as host controller for CAN. The proposed implementation has been developed by using the hardware description language, and has been synthesized placed and routed in an Altera FPGA device. Using FPGA, cost of the new ECU can be kept low, making the new car body control system affordable for customers and thus improving operational convenience.
{"title":"System-On-a-Chip design of electronic control unit for car body control","authors":"Li Hong-qiang, Miao Chang-yun, Wang Hua-ping","doi":"10.1109/ICVES.2007.4456362","DOIUrl":"https://doi.org/10.1109/ICVES.2007.4456362","url":null,"abstract":"Increasing demand for dynamically controlled safety features, passenger comfort, and operational convenience in automobiles requires an intensive use of electronic control units. This paper presents an efficient System-On-a-Chip implementation of the electronic control unit (ECU) for car body control. The ECU includes a CPU and basic functions like SRAM and clock generator. With the flexibility of an FPGA, the ECU can be adopted to any available bus like CAN, LIN, FlexRay or a proprietary bus without changing the system architecture and adding additional external components. To improve the individual response time and to escape from some eventual trapped-function loops, High/Low ports of the ECU are simply used, which increases the stability of the actuator modules. A soft processor core optimised for FPGA is used as system controller and also as host controller for CAN. The proposed implementation has been developed by using the hardware description language, and has been synthesized placed and routed in an Altera FPGA device. Using FPGA, cost of the new ECU can be kept low, making the new car body control system affordable for customers and thus improving operational convenience.","PeriodicalId":202772,"journal":{"name":"2007 IEEE International Conference on Vehicular Electronics and Safety","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126705283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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