{"title":"Observable dynamics and coordinate systems for automotive target tracking","authors":"R. Altendorfer","doi":"10.1109/IVS.2009.5164369","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164369","url":null,"abstract":"We investigate several coordinate systems and dynamical vector fields for target tracking to be used in driver assistance systems. We show how to express the discrete dynamics of maneuvering target vehicles in arbitrary coordinates starting from the target's and the own (ego) vehicle's assumed dynamical model in global coordinates. We clarify the notion of “ego compensation” and show how non-inertial effects are to be included when using a body-fixed coordinate system for target tracking. We finally compare the tracking error of different combinations of target tracking coordinates and dynamical vector fields for simulated data.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"64 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":"134482131","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":"An efficient road detection method in noisy urban environment","authors":"Geng Zhang, Nanning Zheng, Chao-Wei Cui, Yuzhen Yan, Zejian Yuan","doi":"10.1109/IVS.2009.5164338","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164338","url":null,"abstract":"Road detection is a crucial part of autonomous driving system. Most of the methods proposed nowadays only achieve reliable results in relatively clean environments. In this paper, we combine edge detection with road area extraction to solve this problem. Our method works well even on noisy campus road whose boundaries are blurred with sidewalks and surface is often covered with unbalanced sunlight. First, segmentation is done and the segments which belong to road are chosen and merged. Second, we use Hough transform and a voting method to get the vanishing point. Then, the boundaries are searched according to the road shape. We also employ prediction to make our method achieve better performance in video sequence. Our method is fast enough to meet real-time requirement. Experiments were carried out on the intelligent vehicle SpringRobot (Fig. 1) on campus roads, which is a good representation of urban environment.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"32 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":"130929830","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":"An improved AOMDV routing protocol for V2V communication","authors":"Yufeng Chen, Zhengtao Xiang, Wei Jian, Weirong Jiang","doi":"10.1109/IVS.2009.5164438","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164438","url":null,"abstract":"Active security and intelligent transportation are important Vehicular Ad hoc Network (VANET) applications, which need suitable vehicle-to-vehicle communication technology, especially routing technology. When designing routing protocol for VANET, driving information of vehicles can be used as routing metrics, which can provide additional routing information. A routing metric combining hop and speed is proposed with consideration of vehicle driving information employment and delay reduction. Also a driving information collecting module is designed and implemented using On-Board Diagnostic (OBD) technology to collect speed information in real time without any modification of vehicles. Based on the new routing metric, an improved Ad hoc On-demand Multipath Distance Vector with speed metric (S-AOMDV) routing protocol is designed to make use of advantages of multi-path routing protocol, such as fault-tolerant and load balance. Compared with AOMDV with minimum hop-count metric, simulation results show that S-AOMDV achieves better performance.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"127 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":"134344832","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":"An experimental study of rectangular leaky waveguide in CBTC","authors":"Li Zhu, Hongwei Wang, B. Ning","doi":"10.1109/IVS.2009.5164408","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164408","url":null,"abstract":"Train-ground communication system is one of the essential subsystems of CBTC. Rectangular leaky waveguide laid continuously along the track has been used as transmission medium by some enterprises. Beginning with introducing the principles of leaky waveguide, we do some measurements of leaky waveguide. Compared with the communication by free space propagation, the measurement result shows that communication through leaky waveguide has several advantages when used in CBTC system. A simple architecture of train-ground communication system based on rectangular leaky waveguide is designed as well.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"89 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":"134347512","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":"Reducing energy consumption of vehicle air conditioning system by an energy management system","authors":"H. Khayyam, A. Kouzani, E. Hu","doi":"10.1109/IVS.2009.5164371","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164371","url":null,"abstract":"This paper presents an energy management system to reduce the energy consumption of a vehicle when its air conditioning system is in use. The system controls the mass flow rate of the air by dynamically adjusting the blower speed and air-gates opening under various heat and loads circumstances. Simulations were conducted for a travelling vehicle operating the air conditioning system without and with the developed energy management system. The results show that the comfort temperature within the cabin room is achieved for reduced amount of energy consumption.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"41 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":"132000665","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}
Zhipeng Wang, J. Cui, Huijing Zhao, Bingshu Yang, H. Zha, Y. Yagi
{"title":"Hierarchical detection of moving targets on moving platforms","authors":"Zhipeng Wang, J. Cui, Huijing Zhao, Bingshu Yang, H. Zha, Y. Yagi","doi":"10.1109/IVS.2009.5164279","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164279","url":null,"abstract":"In the context of driving assistance, detection of moving targets is challenging when the automobile is witnessing very complex environment. The main challenges come from difficulties to tell foreground from moving background due to camera motion. We present an efficient method for target detection by hierarchically distinguishing the motion of targets from that of the background and using color information to help with the process. Firstly, point features are extracted and tracked to form feature trajectories. Secondly, distance measures are defined on the trajectories and hierarchically used to cluster the generated trajectories into regions. The last step is devoted to better detection of the targets by adding appearance information. Experiments show our method is able to give target detection results in real time even in very complex environments.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"25 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":"133470490","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":"Retrieval method of enormous POI in vehicle navigation system","authors":"Yang Yang, Diange Yang, Zhang Tao, Li Ting","doi":"10.1109/IVS.2009.5164480","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164480","url":null,"abstract":"In Vehicle Navigation System, POI(Points of Interest) Retrieval is important. Since the restriction of the Embedded System, the retrieval should deal with enormous POI data in limited external memory and internal memory, when the retrieval speed should fit for the vehicle navigation. The rapid retrieval method is designed for solving the problem. The method is based on Chinese Pinyin. It includes the storage method of search table with Digital Search Tree and Character Compression. The method for retrieving in the compressed data is also designed. By the design, the size of the file for the POI retrieval is reduced, so the demand of external and internal memory is lower, when the retrieval is fast enough for the vehicle navigation.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"30 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":"132635156","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":"Performance analysis of communication network for the CBTC system","authors":"Yufei Xie, T. Tang","doi":"10.1109/IVS.2009.5164430","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164430","url":null,"abstract":"Communication based train control (CBTC) system is a safety critical system, and several factors in the system demand for new design and implementation solutions. Combining some software or hardware errors, a dual redundant network is proposed. Moreover, framework and working mode of the network are introduced. The paper evaluates the reliability in theory. A simulation is realized to test how the performances are improved once the dual redundant network is used. It is demonstrated that this network configuration can effectively improve the reliability of the system. In the working mode of hot standby, it even reduces probability of delaying and missing messages.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"2017 25","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113966397","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":"Vehicle tracking with lane assignment by camera and lidar sensor fusion","authors":"H. Weigel, Philipp Lindner, G. Wanielik","doi":"10.1109/IVS.2009.5164331","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164331","url":null,"abstract":"A multi-sensor system for vehicle tracking and lane detection is presented in this contribution. The system utilizes a lidar and a monocular camera sensor. The main focus for the lidar lies in the field of vehicle detection and the camera is initially used for lane detection. Therewith realized and introduced applications onto the market are driver assistance systems for adaptive cruise control (ACC) and lane departure warning (LDW). More sophisticated ACC functionalities like collision mitigation and collision avoidance systems require a higher reliability and accuracy of the environment recognition. The joint use of both sensors facilitates this without additional expenses for hardware. It exploits the advantages of the different sensor concepts to extend the capabilities for interpretation of the vehicle environment. In our case this ensures a more accurate estimation of the dimensions and positions of the vehicles within the lane respectively the entire road. Finally, we present an innovative human machine interface (HMI) solution to display the desired assistance functionality with high transparency and clarity to the driver.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"78 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":"114883072","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":"Researches on the method of the hardware in loop simulation for vehicle stability control system based on scilab/scicos","authors":"Jilai Li, Wensheng Gao, Huawei Liang","doi":"10.1109/IVS.2009.5164384","DOIUrl":"https://doi.org/10.1109/IVS.2009.5164384","url":null,"abstract":"V process development method is generally used in the development of modern automotive electronics systems. The development process of ESC contains several steps as modeling, off-line simulation, hardware-in-loop testing and road test of vehicle. We build the vehicle dynamic model under scilab--an open-source scientific software, and make simulation in scicos. Then we construct the ESC hardware-in-loop testing system through communication between external interface of computer and digital IO board. Finally, we test the software/hardware system of ESC.","PeriodicalId":396749,"journal":{"name":"2009 IEEE Intelligent Vehicles Symposium","volume":"23 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":"128660321","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}