{"title":"Traffic image segmentation based on maximum posteriori mutual information","authors":"Li Cao, Zhong-ke Shi, Wen Chen","doi":"10.1109/IVS.2009.5164268","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164268","url":null,"abstract":"Thresholding is the basic way for traffic image processing. Two-dimensional (2-D) thresholding methods can get better results. They used a threshold vector to divide a 2-D histogram into object, background, edge/noise three parts. Object and background parts were the common parts of grayscale information and spatial information. Mutual information focuses on studying the cross-section between entropies of two distributions, so it was considered to improve some disadvantages of the current 2-D thresholding methods. Experimental results showed that the proposed method could get better results.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115884803","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 study on structural optimization of hydrogen-supply system cabinet in Fuel Cell Vehicle","authors":"S. Zuo, Shiwei Zhang, Xiumin Shen, Lin Li","doi":"10.1109/IVS.2009.5164486","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164486","url":null,"abstract":"Based on the experimental analysis of vibro-acoustic test of the Fuel Cell Vehicle (FCV) while hydrogen-supply system operating independently, it is the improper structure of the hydrogen pump cabinet in power auxiliary system that led to noise emissions both in and out of the vehicle. Modal test and finite element (FE) modal analysis were carried out to verify the sympathetic vibration frequency as well as to optimize structure of the metal cabinet. Analysis result revealed that the cabinet natural modes were multiples of basic frequency of the excitation source, thus resonance emerged while the hydrogen pump operating. Based on the cabinet FE modal analysis, topology optimization was conducted, according to which strengthening rib was implemented on the cabinet to enhance the stiffness. After the amelioration, the modal frequency was obviously increased with less modals in mid and low frequency band. The after-optimized structure of cabinet can avoid sympathetic vibration while the hydrogen pump operating, which provides valuable reference to reduce the noise and vibration in FCV.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116053986","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":"Alerting the drivers about road signs with poor visual saliency","authors":"Ludovic Simon, Jean-Philippe Tarel, R. Brémond","doi":"10.1109/IVS.2009.5164251","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164251","url":null,"abstract":"This paper proposes an improvement of Advanced Driver Assistance System based on saliency estimation of road signs. After a road sign detection stage, its saliency is estimated using a SVM learning. A model of visual saliency linking the size of an object and a size-independent saliency is proposed. An eye tracking experiment in context close to driving proves that this computational evaluation of the saliency fits well with human perception, and demonstrates the applicability of the proposed estimator for improved ADAS.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123846221","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":"Simulation on output force characteristics of damping-adjustable hydro-pneumatic suspension","authors":"Sihong Zhu, Baozhan Lu","doi":"10.1109/IVS.2009.5164470","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164470","url":null,"abstract":"Based on the investigation of vibration characteristics of certain vehicle without suspension, a new type of damping- adjustable hydro-pneumatic suspension was put forward. Based on the analysis of working principle, the nonlinear mathematical and output force characteristic models of suspension were set up. Using MATLAB/Simulink, through adjusting initialization pressure and volume of accumulator, the diameter and number of orifice valve, the diameter of adjustable throttle and the amplitude and frequency of excitation, the influences of these parameters to output force characteristics were put forward. Simulation results show that initialization pressure of accumulator doesn't influence the curve shape of displacement and velocity characteristics of output force and doesn't influence the damping force of suspension, and orifice valve, adjustable throttle and excitation influence greatly to output force characteristics, especially to revert phase.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121985640","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":"Cognition and emotion in autonomous cars","authors":"S. Kraus, M. Althoff, B. Heissing, M. Buss","doi":"10.1109/IVS.2009.5164351","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164351","url":null,"abstract":"In order to increase the acceptance of vehicles that drive (partly) autonomously, it seems advantageous that the driving style of autonomous cars is human-like. Furthermore, the acceptance of autonomous cars is believed to be increased when their actions and current state becomes more transparent to the passengers. These aspects can be tackled by implementing emotions to an autonomous car which allows a situation specific adaption of driving functions and vehicle dynamics. In this work, the emotions are modeled by the cognitive appraisal model as described by Ortony, Clore and Collins. The approach is presented for a traffic scene where two lanes are merged into one.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122444769","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":"Prediction of driver head movement via Bayesian Learning and ARMA modeling","authors":"M. Celenk, H. Eren, M. Poyraz","doi":"10.1109/IVS.2009.5164336","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164336","url":null,"abstract":"This paper introduces a drowsiness scale which illustrates instantaneous overall predictions about observed anomalous driver behavior. Driver can be informed about her/his own driving conditions by the camera mounted inside of the vehicle. Data obtained from driver behavior by observation is not sufficient to make a correct decision about overall vehicle and driver state unless road and vehicle conditions are also considered. Various driver related observations are involved in the design of an observatory system in collaboration with external road sensory inputs. In our system, we propose a Bayesian learning method about driver awareness state in learning phase. An auto-regressive moving average (ARMA) model is devised to be the driver drowsiness predictor. A mean-square tracking error is measured in different head positions to determine the predictor's reliability and robustness under different illumination and conditions. An empirical set of plots is derived for the head positions corresponding to normal and drowsy driving conditions.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121100392","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}
Bing Wu, Y. Murata, N. Shibata, K. Yasumoto, Minoru Ito
{"title":"A method for composing tour schedules adaptive to weather change","authors":"Bing Wu, Y. Murata, N. Shibata, K. Yasumoto, Minoru Ito","doi":"10.1109/IVS.2009.5164491","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164491","url":null,"abstract":"People do sightseeing in their spare time to relax, and sightseeing is an important industry for some regions. The satisfaction of tourists critically depends on weather during their tours. In order to give people maximum satisfaction, we have to take care of the weather when planning a schedule. However, if there are many possible patterns for weather changes, the number of possible schedules will be very large, and in this case, it is difficult to find a good schedule. In this paper, we formulate the problem to compose schedules for probabilistically changing weather when the probability of future weather is given. We also propose an approximation algorithm for this problem based on the greedy search and the neighborhood search techniques. To evaluate the proposed method, we compare our method with Brute force method and a greedy method for an instance of Beijing sightseeing. As a result, the proposed method found the optimal solution in 6 sec, while the Brute force method took 16 hours. The proposed method composed a schedule whose expected satisfaction is 17.9 composed by the greedy method, for an instance with 20 destinations.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116449157","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 SLAM algorithm based on the central difference Kalman filter","authors":"Jihua Zhu, Nanning Zheng, Zejian Yuan, Qiang Zhang, Xuetao Zhang, Yongjian He","doi":"10.1109/IVS.2009.5164264","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164264","url":null,"abstract":"This paper presents an central difference Kalman filter (CDKF) based Simultaneous Localization and Mapping (SLAM) algorithm, which is an alternative to the classical extended Kalman filter based SLAM solution (EKF-SLAM). EKF-SLAM suffers from two important problems, which are the calculation of Jacobians and the linear approximations to the nonlinear models. They can lead the filter to be inconsistent. To overcome the serious drawbacks of the previous frameworks, Sterling's polynomial interpolation method is employed to approximate nonlinear models. Combined with the Kanlman filter framework, CDKF is proposed to solve the probabilistic state-space SLAM problem. The proposed approach improves the filter consistency and state estimation accuracy. Both simulated experiments and bench mark data set are used to demonstrating the superiority of the proposed algorithm.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126359589","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":"Modeling and simulation of electronic differential system for an electric vehicle with two-motor-wheel drive","authors":"Y. Zhao, J. -. Zhang, X. Guan","doi":"10.1109/IVS.2009.5164454","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164454","url":null,"abstract":"In-wheel-motor drive electric vehicle (EV) is an innovative configuration, in which each wheel is driven individually by an electric motor. It is possible to use an electronic differential (ED) instead of the heavy mechanical differential because of the fast response time of the motor. A new ED control approach for a two-in-wheel-motor drive EV is devised based on the fuzzy logic control method. The fuzzy logic method employs to estimate the slip rate of each wheel considering the complex and nonlinear of the system. Then, the ED system distributes torque and power to each motor according to requirements. The effectiveness and validation of the proposed control method are evaluated in the Matlab/Simulink environment. Simulation results show that the new ED control system can keep the slip rate within the optimized range, ensuring the stability of the vehicle either in a straight or a curve lane.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121490176","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":"Enhancing active safety by extending controllability - How much can be gained?","authors":"J. Andreasson","doi":"10.1109/IVS.2009.5164355","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164355","url":null,"abstract":"This paper describes how dynamic optimization can be used to evaluate the potential of different actuator combinations for extended vehicle controllability. The paper illustrates the methodology by comparing performance of rear axle steering with wheel torque distribution. The evaluated maneuver is a rapid sideways motion, aiming at avoiding a suddenly appearing obstacle on the road.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"11 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129167451","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}