{"title":"A collision mitigation system using laser scanner and stereovision fusion and its assessment","authors":"R. Labayrade, C. Royère, D. Aubert","doi":"10.1109/IVS.2005.1505143","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505143","url":null,"abstract":"Road traffic incidents analysis has shown that 52% of them are caused by a collision between two vehicles or between a vehicle and an obstacle. In this paper, a collision mitigation system is proposed and evaluated towards various typical road situations. The aim of the system is to decrease the kinetic energy of the collision through automatic emergency braking that occurs 1 second before the collision. This emergency braking is triggered by an alarm coming from a decision unit taking into consideration the results of a generic obstacles detection system -based on fusion between stereovision and laser scanner- and a warning area in front of the vehicle. The different sub-systems are presented. Various typical dangerous road situations are then introduced. The behavior of the collision mitigation system towards these situations is presented through real tests carried out in the context of the ARCOS French project. These experiments show the reliability, the genericity and the efficiency of the system. In particular, the false alarm rate is low, the detection rate is high and the system proves to be reactive.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126567162","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}
{"title":"Hypothesis based vehicle detection for increased simplicity in multi-sensor ACC","authors":"B. Alefs, D. Schreiber, M. Clabian","doi":"10.1109/IVS.2005.1505112","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505112","url":null,"abstract":"Systems for adaptive cruise control (ACC) become increasingly complex in case multiple sensors are used. The search space, detection error and run-time may increase substantially due to combinatory explosion of methods and data. This paper presents a method that simplifies fusion between range and vision devices using corresponding sets of hypotheses. A system is proposed that combines three modules: one uses output of a 24 GHz radar device, one uses single images from a monocular camera system; and one uses the image sequence data of the same system. The radar detection module uses condensation tracking. The vehicle detection module uses scaled symmetry detection. The three modules are fused by sharing sets of hypotheses for detection of vehicles. Results show 96% error reduction with respect to range sensing only and 63% detection increase due to tracking.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128272374","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}
D. Zhou, V. DeBrunner, L. DeBrunner, J. D. Baldwin, M. Ta, J. Fuller, Y. Wang, P. Wang, T. Hohenberger, S. Pelot, L. Zuniga
{"title":"Semi-active control algorithms for a smart shock absorber","authors":"D. Zhou, V. DeBrunner, L. DeBrunner, J. D. Baldwin, M. Ta, J. Fuller, Y. Wang, P. Wang, T. Hohenberger, S. Pelot, L. Zuniga","doi":"10.1109/IVS.2005.1505205","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505205","url":null,"abstract":"In this work, we develop novel control algorithms suitable for the smart shock absorber (SSA) component of the intelligent vehicle and bridge system (IVBS). The SSA control serves two IVBS purposes: 1) working as the vehicle suspension to increase driver comfort and controllability when the vehicle is on the pavement, and 2) reducing the vibration of highway bridges and thus prolonging bridge life. We propose and discuss in this paper algorithms targeted at the first purpose. Based on the application of active noise control techniques to an active suspension system, we introduce the clipped active noise control (clipped ANC) algorithm. The main advantage of this algorithm is that because it is adaptive, it can effectively balance the comfort and controllability. A simplified control algorithm based on the clipped ANC is also proposed to reduce the implementation cost. The simplified algorithm has no requirements for system modeling, so it substantially reduces the implementation cost. The effectiveness of our proposed algorithm is indicated by analyses, simulations and laboratory testing.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127202043","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}
{"title":"Road-to-vehicle communication using LED traffic light","authors":"M. Wada, T. Yendo, T. Fujii, M. Tanimoto","doi":"10.1109/IVS.2005.1505169","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505169","url":null,"abstract":"We propose a parallel wireless optical communication system for road-to-vehicle communication, which uses a LED traffic light as a transmitter and a high-speed camera as a receiver. The newly proposed system which enables multichanneling in LED two dimension arrangement and spatially dividing them. LED transmitters arranged in the shape of a plane are modulated individually, and a camera is used as a receiver for demodulating the signals by using image processing techniques. We performed examination of the transmission speed according to the proposed system in this paper. The actual proof experiment of the proposed system was conducted under the laboratory conditions. We checked that it communicates with a speed of 2.78kbps while 192 LED are spatially divided into eight groups and the high-speed camera set to 500fps.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130337254","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}
J. M. Collado, C. Hilario, A. de la Escalera, J. M. Armingol
{"title":"Detection and classification of road lanes with a frequency analysis","authors":"J. M. Collado, C. Hilario, A. de la Escalera, J. M. Armingol","doi":"10.1109/IVS.2005.1505081","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505081","url":null,"abstract":"This paper presents a road lane detection and interpretation algorithm for driver assistance systems (DAS). The algorithm uses an edge filter to extract lane borders to which a straight lane model is fitted. Next, the lane mark type (continuous, discontinuous or merge) is recognized using a Fourier analysis. The line type is essential for a robust DAS. Nevertheless, it has been seldom considered in previous works. The knowledge of the line types of the road helps to guide the search for other lines, to automatically detect the type of the road (one-way, two way or highway), and to tell the difference between allowed and forbidden maneuvers, such as crossing a continuous line. Furthermore, the system is able to auto calibrate, thus easing the process of installation in commercial vehicles.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134113734","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}
{"title":"Situation assessment algorithm for a collision prevention assistant","authors":"J. Hillenbrand, K. Kroschel, V. Schmid","doi":"10.1109/IVS.2005.1505146","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505146","url":null,"abstract":"In this paper, we present the concept of a collision prevention assistant, a system that we believe can significantly contribute to road safety. We propose a new situation assessment algorithm which is tailored to the action of braking and that further accounts for the nonlinearities that arise when vehicles cut out or come to a standstill. The effect of sensor uncertainty on the performance of the proposed algorithm is modelled using a Markov chain and analyzed by means of a Monte Carlo simulation on a typical traffic situation.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129288542","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}
{"title":"Enhanced environmental perception by inter-vehicle data exchange","authors":"K. Tischler, B. Hummel","doi":"10.1109/IVS.2005.1505121","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505121","url":null,"abstract":"Inter-vehicle data communication promises a multitude of improvements in next generation driver assistance systems. The field of view of one car can be significantly extended by information from the environmental sensors of other cars in its vicinity. However, many of the algorithmic problems are not yet satisfactorily solved, or have not even been properly addressed in research. This paper deals with various aspects of this topic. We propose to exchange two types of information: First, the state and positioning information of each of the participating vehicles and second, the objects detected and tracked by each of the vehicle's data processing systems. Object data is acquired by a radar sensor and tracked by Kalman filtering. Each participating vehicle incorporates all remote information in a global description of the environment. This description is based upon a digital map. For this purpose, a reliable map matching has been developed. Results for real traffic scenes are presented.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133630839","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}
Xiangwen Zhang, Zhixue Wang, Wei Li, D. He, Feiyue Wang
{"title":"A fuzzy logic controller for an intelligent tires system","authors":"Xiangwen Zhang, Zhixue Wang, Wei Li, D. He, Feiyue Wang","doi":"10.1109/IVS.2005.1505216","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505216","url":null,"abstract":"A fuzzy logic controller is designed. The tire temperature, pressure, velocity are defined as input variables. The velocity compensation and the pressure compensation are defined as output variables. The fuzzy logic rules are got by considering the qualitative relations among the input and output variables. The intelligent tires system with the fuzzy logic controller is modeled. The tire wastage e coefficient and the tire pressure safety coefficient are defined as the measure of the tire economy and safety. The simulation of the intelligent, tires system with and without the fuzzy logic controller is performed. The results show that the fuzzy logic controller can decrease the tire wastage coefficient and increase the pressure safety coefficient obviously.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122200806","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}
Ying Zhu, D. Comaniciu, Visvanathan Ramesh, M. Pellkofer, T. Koehler, Siemens Vdo, Automotive Ag
{"title":"An integrated framework of vision-based vehicle detection with knowledge fusion","authors":"Ying Zhu, D. Comaniciu, Visvanathan Ramesh, M. Pellkofer, T. Koehler, Siemens Vdo, Automotive Ag","doi":"10.1109/IVS.2005.1505102","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505102","url":null,"abstract":"This paper describes an integrated framework of on-road vehicle detection through knowledge fusion. In contrast to appearance-based detectors that make instant decisions, the proposed detection framework fuses appearance, geometry and motion information over multiple image frames. The knowledge of vehicle/non-vehicle appearance, scene geometry and vehicle motion is utilized through prior models obtained by learning, modeling and estimation algorithms. It is shown that knowledge fusion largely improves the robustness and reliability of the detection system.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115491587","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}
{"title":"A lidar-based approach for near range lane detection","authors":"A. V. Reyher, A. Joos, Hermann Winner","doi":"10.1109/IVS.2005.1505093","DOIUrl":"https://doi.org/10.1109/IVS.2005.1505093","url":null,"abstract":"This paper presents an approach for object and lane detection using only a scanning lidar sensor. The test vehicle used and the applied lane detection algorithm based on an extended Kalman-filter are described. Measurements on public roads are performed and compared to the results of an optical lane recognition as a reference.","PeriodicalId":386189,"journal":{"name":"IEEE Proceedings. Intelligent Vehicles Symposium, 2005.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123627049","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}