Pub Date : 2005-12-27DOI: 10.1109/ICVES.2005.1563626
Hao Ying-ji, Li Hui-bing, Wang Yan
This paper introduces a new kind of instrument designed to inspect the dynamic characteristics of the automobile. It mainly introduces the principle and the design of the circuit of the instrument. This instrument is used to inspect dynamic characteristics of the accelerograph driver equipment of the automobile. The analysis of the experimental datum is provided.
{"title":"The development and application of the inspecting instrument for the accelerograph driver equipment of the automobile","authors":"Hao Ying-ji, Li Hui-bing, Wang Yan","doi":"10.1109/ICVES.2005.1563626","DOIUrl":"https://doi.org/10.1109/ICVES.2005.1563626","url":null,"abstract":"This paper introduces a new kind of instrument designed to inspect the dynamic characteristics of the automobile. It mainly introduces the principle and the design of the circuit of the instrument. This instrument is used to inspect dynamic characteristics of the accelerograph driver equipment of the automobile. The analysis of the experimental datum is provided.","PeriodicalId":443433,"journal":{"name":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114085864","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 : 2005-12-27DOI: 10.1109/ICVES.2005.1563654
Yuan Quan, Li Yibing, Zhang Yue
Through the analysis on 120 rear-end vehicle impact accidents of Beijing in 2004, the basic characteristics of this kind of accident are obtained, including the actual rules of occurring time, vehicles types and speed, drivers' ages and origins, road types and so on. The results show: car to heavy truck and truck to truck, the main two types, in most of which the front vehicles park or run at a lower speed, and rear vehicles drive tiredly at a high speed, should be investigated and prevented especially. The statistic results are analyzed, then the methods against drive tiredness and rear-end impact are presented by discussing the happening reasons of such accidents in the point of view of human-vehicle-road system.
{"title":"The analysis on the human-vehicle-road characteristics of vehicle rear-end impact accidents","authors":"Yuan Quan, Li Yibing, Zhang Yue","doi":"10.1109/ICVES.2005.1563654","DOIUrl":"https://doi.org/10.1109/ICVES.2005.1563654","url":null,"abstract":"Through the analysis on 120 rear-end vehicle impact accidents of Beijing in 2004, the basic characteristics of this kind of accident are obtained, including the actual rules of occurring time, vehicles types and speed, drivers' ages and origins, road types and so on. The results show: car to heavy truck and truck to truck, the main two types, in most of which the front vehicles park or run at a lower speed, and rear vehicles drive tiredly at a high speed, should be investigated and prevented especially. The statistic results are analyzed, then the methods against drive tiredness and rear-end impact are presented by discussing the happening reasons of such accidents in the point of view of human-vehicle-road system.","PeriodicalId":443433,"journal":{"name":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128624295","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 : 2005-12-27DOI: 10.1109/ICVES.2005.1563611
Song Huansheng, Wang Guoqiang
In this paper, a high performance car license plate recognition system and its some core techniques have been introduced briefly. The introduced significant techniques include: 1) novel lighting and imaging mechanics; 2) newly developed algorithms for license plate location; 3) deformable template based character segmentation techniques. For license plate location from real nature light image, we present MGD model of car plate. Using this model, coarse and accurate license plate location algorithm has been developed. The location rate of the newly developed algorithm has reached 97.8%. The introduced systems have been used widely in china. In real all-weather application, it has shown over 97% recognition rate. This excellent system can be used in expressway toll , car monitoring and electronic-police system.
{"title":"The high performance car license plate recognition system and its core techniques","authors":"Song Huansheng, Wang Guoqiang","doi":"10.1109/ICVES.2005.1563611","DOIUrl":"https://doi.org/10.1109/ICVES.2005.1563611","url":null,"abstract":"In this paper, a high performance car license plate recognition system and its some core techniques have been introduced briefly. The introduced significant techniques include: 1) novel lighting and imaging mechanics; 2) newly developed algorithms for license plate location; 3) deformable template based character segmentation techniques. For license plate location from real nature light image, we present MGD model of car plate. Using this model, coarse and accurate license plate location algorithm has been developed. The location rate of the newly developed algorithm has reached 97.8%. The introduced systems have been used widely in china. In real all-weather application, it has shown over 97% recognition rate. This excellent system can be used in expressway toll , car monitoring and electronic-police system.","PeriodicalId":443433,"journal":{"name":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127179338","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 : 2005-12-27DOI: 10.1109/ICVES.2005.1563670
Ye Chen, Li Chen
The usage of wires in the vehicles meets the disadvantage of heavy, complex and expensive. At the same time, the consumers expect that there are more functions in the vehicles. Bluetooth is a low-power, low-cost, short-range wireless communication system. This paper introduces its two level in-vehicle applications. At the system level, it could be used to replace the wired connection in the nonsafety-critical control network, and brings convenience to the vehicle's diagnosis, repair and software upgrades. At the user device level, integrating the mobile electronic devices to the vehicle to form a wireless network, it could provide people with a convenient and multifunctional device interface for the business and entertainment objectives on travel.
{"title":"Using Bluetooth wireless technology in vehicles","authors":"Ye Chen, Li Chen","doi":"10.1109/ICVES.2005.1563670","DOIUrl":"https://doi.org/10.1109/ICVES.2005.1563670","url":null,"abstract":"The usage of wires in the vehicles meets the disadvantage of heavy, complex and expensive. At the same time, the consumers expect that there are more functions in the vehicles. Bluetooth is a low-power, low-cost, short-range wireless communication system. This paper introduces its two level in-vehicle applications. At the system level, it could be used to replace the wired connection in the nonsafety-critical control network, and brings convenience to the vehicle's diagnosis, repair and software upgrades. At the user device level, integrating the mobile electronic devices to the vehicle to form a wireless network, it could provide people with a convenient and multifunctional device interface for the business and entertainment objectives on travel.","PeriodicalId":443433,"journal":{"name":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116921733","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 : 2005-12-27DOI: 10.1109/ICVES.2005.1563629
Chongsheng Li, L. Qu
For gears, periodic impulses indicate that there are faults in the components. However, it is difficult to detect the impulses at the early stage of fault because they are so weak that buried in the noise. According to the characters of vibration signal coming from gearboxes, a method using chaotic oscillator is presented to detect the early fatigue crack of the gear. This method is in a reverse way compared with the common chaotic oscillator based method. After introduction of gearbox vibration signals to the chaotic oscillator, by recognizing the state transformation of the oscillator from large-scale period to chaos, the state of two side bands of meshing frequency can be confirmed, and then the crack can be detected. The method is demonstrated in practice. In this paper, it is also presented how to use symbol sequence statistics to automatically identify the state transformation of the chaotic oscillator.
{"title":"A nonlinear diagnosis method of gear early fatigue crack","authors":"Chongsheng Li, L. Qu","doi":"10.1109/ICVES.2005.1563629","DOIUrl":"https://doi.org/10.1109/ICVES.2005.1563629","url":null,"abstract":"For gears, periodic impulses indicate that there are faults in the components. However, it is difficult to detect the impulses at the early stage of fault because they are so weak that buried in the noise. According to the characters of vibration signal coming from gearboxes, a method using chaotic oscillator is presented to detect the early fatigue crack of the gear. This method is in a reverse way compared with the common chaotic oscillator based method. After introduction of gearbox vibration signals to the chaotic oscillator, by recognizing the state transformation of the oscillator from large-scale period to chaos, the state of two side bands of meshing frequency can be confirmed, and then the crack can be detected. The method is demonstrated in practice. In this paper, it is also presented how to use symbol sequence statistics to automatically identify the state transformation of the chaotic oscillator.","PeriodicalId":443433,"journal":{"name":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","volume":"125 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122112777","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 : 2005-12-27DOI: 10.1109/ICVES.2005.1563631
Bin Zhang, Qiming Tian, Yupin Luo
Pedestrian detection is one of the most interesting topics in driver assistant systems. In a normal two-step detection framework: image segmentation (thresholding) and recognition, the pedestrian areas usually connect with other objects after segmentation, especially in cluttered nighttime images. The bad segmentation result causes the recognition module not to identify the pedestrians. This paper presents a fast template matching approach to locate the most pedestrian-like areas (candidates) in the complex background. At most of the time, the template matching method produces too many non-human candidates. However, our approach employs a set of efficient and simple filters to reject most of unwished candidates to reduce false alarm rate. Experiments show that the proposed method can segment the pedestrian areas well and promote the ability of the pedestrian detection system.
{"title":"An improved pedestrian detection approach for cluttered background in nighttime","authors":"Bin Zhang, Qiming Tian, Yupin Luo","doi":"10.1109/ICVES.2005.1563631","DOIUrl":"https://doi.org/10.1109/ICVES.2005.1563631","url":null,"abstract":"Pedestrian detection is one of the most interesting topics in driver assistant systems. In a normal two-step detection framework: image segmentation (thresholding) and recognition, the pedestrian areas usually connect with other objects after segmentation, especially in cluttered nighttime images. The bad segmentation result causes the recognition module not to identify the pedestrians. This paper presents a fast template matching approach to locate the most pedestrian-like areas (candidates) in the complex background. At most of the time, the template matching method produces too many non-human candidates. However, our approach employs a set of efficient and simple filters to reject most of unwished candidates to reduce false alarm rate. Experiments show that the proposed method can segment the pedestrian areas well and promote the ability of the pedestrian detection system.","PeriodicalId":443433,"journal":{"name":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129053609","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 : 2005-12-27DOI: 10.1109/ICVES.2005.1563609
M. Trivedi, T. Gandhi, J. McCall
This paper presents an overview of investigations into the role of computer vision technology in developing safer automobiles. We consider vision systems which cannot only look out of the vehicle to detect and track roads, avoid hitting obstacles or pedestrian, but simultaneously look inside the vehicle to monitor the attentiveness of the driver and even predict her intentions. In this paper, a systems-oriented framework for developing computer vision technology for safer automobiles is presented. We will consider three main components of the system, driver, vehicle, and vehicle surround. We will discuss various issues and ideas for developing models for these main components as well as activities associated with the complex task of safe driving. The paper includes discussion of novel sensory systems and algorithms for capturing not only the dynamic surround information of the vehicle but also the state, intent and activity patterns of drivers.
{"title":"Looking-in and looking-out of a vehicle: selected investigations in computer vision based enhanced vehicle safety","authors":"M. Trivedi, T. Gandhi, J. McCall","doi":"10.1109/ICVES.2005.1563609","DOIUrl":"https://doi.org/10.1109/ICVES.2005.1563609","url":null,"abstract":"This paper presents an overview of investigations into the role of computer vision technology in developing safer automobiles. We consider vision systems which cannot only look out of the vehicle to detect and track roads, avoid hitting obstacles or pedestrian, but simultaneously look inside the vehicle to monitor the attentiveness of the driver and even predict her intentions. In this paper, a systems-oriented framework for developing computer vision technology for safer automobiles is presented. We will consider three main components of the system, driver, vehicle, and vehicle surround. We will discuss various issues and ideas for developing models for these main components as well as activities associated with the complex task of safe driving. The paper includes discussion of novel sensory systems and algorithms for capturing not only the dynamic surround information of the vehicle but also the state, intent and activity patterns of drivers.","PeriodicalId":443433,"journal":{"name":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124558575","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 : 2005-12-27DOI: 10.1109/ICVES.2005.1563660
Zhu Shuangdong, Jiang Tian-tian
Nowadays, for the BP neural network based outdoor traffic sign recognition problems, the recognition rate is generally between 60% and 70%. Based on the results analysis, one may come to a conclusion that the key factors affecting recognition rate are the color distortion caused by the color complexity. This paper present a new solution according to the idea of simplifying the complex problem, using color information and intelligent approach. The first step is to break the complex color information down to 5 kinds of standard color, and then employ BP neural network to classification. In this article BP network is used for color standardization, selecting 23 normalization signs as training set and 531 real signs as testing set for BP network. By doing so 100% average recognition rate is achieved. At the same time, it shows the better robustness of the proposed approach for the color distortion of traffic sign in terms of either the structure parameter or the training parameter of network.
{"title":"Intelligence approach of traffic sign recognition based on color standardization","authors":"Zhu Shuangdong, Jiang Tian-tian","doi":"10.1109/ICVES.2005.1563660","DOIUrl":"https://doi.org/10.1109/ICVES.2005.1563660","url":null,"abstract":"Nowadays, for the BP neural network based outdoor traffic sign recognition problems, the recognition rate is generally between 60% and 70%. Based on the results analysis, one may come to a conclusion that the key factors affecting recognition rate are the color distortion caused by the color complexity. This paper present a new solution according to the idea of simplifying the complex problem, using color information and intelligent approach. The first step is to break the complex color information down to 5 kinds of standard color, and then employ BP neural network to classification. In this article BP network is used for color standardization, selecting 23 normalization signs as training set and 531 real signs as testing set for BP network. By doing so 100% average recognition rate is achieved. At the same time, it shows the better robustness of the proposed approach for the color distortion of traffic sign in terms of either the structure parameter or the training parameter of network.","PeriodicalId":443433,"journal":{"name":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133681042","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 : 2005-12-27DOI: 10.1109/ICVES.2005.1563636
M. Fu, X. Feng, Meiling Wang, Jiuhong Ruan
Autonomous land vehicle is a complex, nonlinear and uncertain system. At present, one of the key problems in the researching field of ALV is the lack of robustness in motion control. In order to solve this problem, the kinematics model of ALV was presented at first in this paper. Then based on fuzzy logical system of "data-fuzzy", a lateral controller of Mamdani reasoning system for ALV was designed. The design of the controller utilized not only the in-out data information but also the language information generated by expertise, so the controller designed have a better performance, and can accommodate a wide range of velocity and different conditions of the road. The experiment results show that the controller designed has enough robustness, and can make ALV follow reference paths quickly and accurately.
{"title":"Study on data-fuzzy-based ALV lateral controller design and experiments","authors":"M. Fu, X. Feng, Meiling Wang, Jiuhong Ruan","doi":"10.1109/ICVES.2005.1563636","DOIUrl":"https://doi.org/10.1109/ICVES.2005.1563636","url":null,"abstract":"Autonomous land vehicle is a complex, nonlinear and uncertain system. At present, one of the key problems in the researching field of ALV is the lack of robustness in motion control. In order to solve this problem, the kinematics model of ALV was presented at first in this paper. Then based on fuzzy logical system of \"data-fuzzy\", a lateral controller of Mamdani reasoning system for ALV was designed. The design of the controller utilized not only the in-out data information but also the language information generated by expertise, so the controller designed have a better performance, and can accommodate a wide range of velocity and different conditions of the road. The experiment results show that the controller designed has enough robustness, and can make ALV follow reference paths quickly and accurately.","PeriodicalId":443433,"journal":{"name":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134460723","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 : 2005-12-27DOI: 10.1109/ICVES.2005.1563673
Fei Wang, Huabiao Qin
A large number of traffic accidents are caused by the driver fatigue or drowsiness. These misfortunes can be avoided by keeping a close watch on tired characters of the driver and making a warning signal immediately. This function is implemented by a FPGA based vehicle driver surveillance system presented in this paper. Several well-known image processing algorithms like gray scale projection, edge detection with Prewitt operator and complexity function are combined together to judge whether the driver has his eyes closed. Their hardware architectures have been modeled using the Altera DSPBuilder and integrated as a co-processor to the main Nios II processor which controls the whole system. All of the algorithm hardware implementations have been achieved in a parallel and pipelined way and discussed in detail. The final system is based on the Altera Stratix II EP2S60 FPGA devices and has been proved to meet the basic requirements of drowsiness detection.
大量的交通事故是由驾驶员疲劳或困倦造成的。这些不幸可以通过密切关注司机疲惫的性格并立即发出警告信号来避免。该功能由基于FPGA的车辆驾驶员监控系统实现。将灰度投影、Prewitt算子边缘检测、复杂度函数等几种著名的图像处理算法结合在一起，判断驾驶员是否闭着眼睛。它们的硬件架构使用Altera DSPBuilder进行建模，并作为协处理器集成到控制整个系统的主Nios II处理器上。所有算法的硬件实现都以并行和流水线的方式实现，并进行了详细的讨论。最终的系统基于Altera Stratix II EP2S60 FPGA器件，并经验证满足了困倦检测的基本要求。
{"title":"A FPGA based driver drowsiness detecting system","authors":"Fei Wang, Huabiao Qin","doi":"10.1109/ICVES.2005.1563673","DOIUrl":"https://doi.org/10.1109/ICVES.2005.1563673","url":null,"abstract":"A large number of traffic accidents are caused by the driver fatigue or drowsiness. These misfortunes can be avoided by keeping a close watch on tired characters of the driver and making a warning signal immediately. This function is implemented by a FPGA based vehicle driver surveillance system presented in this paper. Several well-known image processing algorithms like gray scale projection, edge detection with Prewitt operator and complexity function are combined together to judge whether the driver has his eyes closed. Their hardware architectures have been modeled using the Altera DSPBuilder and integrated as a co-processor to the main Nios II processor which controls the whole system. All of the algorithm hardware implementations have been achieved in a parallel and pipelined way and discussed in detail. The final system is based on the Altera Stratix II EP2S60 FPGA devices and has been proved to meet the basic requirements of drowsiness detection.","PeriodicalId":443433,"journal":{"name":"IEEE International Conference on Vehicular Electronics and Safety, 2005.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129684636","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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