{"title":"Online Verification of Cognitive Car Decisions","authors":"M. Althoff, O. Stursberg, M. Buss","doi":"10.1109/IVS.2007.4290203","DOIUrl":"https://doi.org/10.1109/IVS.2007.4290203","url":null,"abstract":"Verifying a safe locomotion of cognitive cars is indispensable for their participation in road traffic. This paper suggests an approach for verifying safety by computing reachable sets for the position of relevant traffic participants, i.e. a cognitive car as well as moving objects in its environment. In order to account for the uncertainty in the behavior of traffic participants, a stochastic setting is chosen, in which Markov chains represent the positions probabilistically. An efficient online algorithm is presented that leads to the result whether the reachable sets of different traffic participants can intersect, meaning that the control strategy of the cognitive car is possibly unsafe.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134479136","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":"Online Localization and Mapping with Moving Object Tracking in Dynamic Outdoor Environments","authors":"Trung-Dung Vu, O. Aycard, N. Appenrodt","doi":"10.1109/IVS.2007.4290113","DOIUrl":"https://doi.org/10.1109/IVS.2007.4290113","url":null,"abstract":"In this paper, we present a real-time algorithm for online simultaneous localization and mapping (SLAM) with detection and tracking of moving objects (DATMO) in dynamic outdoor environments from a moving vehicle equipped with laser sensor and odometry. To correct vehicle location from odometry we introduce a new fast implementation of incremental scan matching method that can work reliably in dynamic outdoor environments. After a good vehicle location is estimated, the surrounding map is updated incrementally and moving objects are detected without a priori knowledge of the targets. Detected moving objects are finally tracked using global nearest neighborhood (GNN) method. The experimental results on datasets collected from different scenarios such as: urban streets, country roads and highways demonstrate the efficiency of the proposed algorithm.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133716815","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":"Automobile Advance Alarm System Based on Monocular Vision Processing","authors":"Joo-young Yi, Sang-hoon Yang, In-Gul Jang, Jin-Gyun Chung, Myoung-Seob Lim","doi":"10.1109/IVS.2007.4290152","DOIUrl":"https://doi.org/10.1109/IVS.2007.4290152","url":null,"abstract":"While the interests in intelligent vehicle increase, many people are having concerns about systems that offer the information of distance and relative speed between two cars. This paper presents an algorithm to obtain efficiently the distance between two cars.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114390893","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":"Slip Control for Vehicles Platooning via Second Order Sliding Modes","authors":"M. Amodeo, A. Ferrara, R. Terzaghi, C. Vecchio","doi":"10.1109/IVS.2007.4290208","DOIUrl":"https://doi.org/10.1109/IVS.2007.4290208","url":null,"abstract":"Recent research has demonstrated that longitudinal control strategies are useful in highway systems to regulate the spacing and velocity of vehicles. In this paper, a robust longitudinal control system for platoons of vehicles is designed. The proposed control scheme is composed of two different loops: the outer loop has to determine the traction force necessary to maintain the safety distance between the controlled vehicle and the preceding vehicle, while the inner loop is aimed at producing the desired traction force, calculated by the outer loop, by controlling the slip ratio. The unknown time-varying road conditions are taken into account by using an adaptive algorithm. The proposed controller enforces second order sliding modes, and, in contrast to conventional sliding mode controllers generates continuous control actions, thus resulting particularly suitable to be applied to automotive systems, where vibrations limitation is a crucial requirement.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125829104","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}
G. Rusconi, M. C. Brugnoli, P. Dosso, K. Kretzschmar, P. Bougia, D. Fotiadis, L. Salgado, F. Jaureguizar, M. De Feo
{"title":"I-WAY, intelligent co-operative system for road safety","authors":"G. Rusconi, M. C. Brugnoli, P. Dosso, K. Kretzschmar, P. Bougia, D. Fotiadis, L. Salgado, F. Jaureguizar, M. De Feo","doi":"10.1109/IVS.2007.4290256","DOIUrl":"https://doi.org/10.1109/IVS.2007.4290256","url":null,"abstract":"Fatalities and injuries connected with road accidents and its social and economic implications are dramatic issues nowadays. In this paper we present a strategy to improve road and mobility safety addressed by the I-WAY system. I-WAY is an innovative system able to improve road safety based on a cooperative driving platform which will ubiquitously monitor and recognize the road environment and the driver's state in real time using data obtained from three types of sources: the in-vehicle sensing system, the road infrastructure and neighbouring cars. It supports both, road-to-vehicle and vehicle-to-vehicle communication in order to enhance drivers' perception on road environment and improve responses in critical scenarios. This work addresses the I-WAY technical solution and its overall architecture.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125890316","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}
Jean-Philippe Lauffenburger, Benazouz Bradai, A. Herbin, Michel Basset
{"title":"Navigation as a Virtual Sensor for Enhanced Lighting Preview Control","authors":"Jean-Philippe Lauffenburger, Benazouz Bradai, A. Herbin, Michel Basset","doi":"10.1109/IVS.2007.4290082","DOIUrl":"https://doi.org/10.1109/IVS.2007.4290082","url":null,"abstract":"The principal interest of currently available bending light systems using vehicle information (vehicle speed, steering wheel angle) is to adjust the beam orientation according to the driver's manoeuvres. However, this kind of lighting is not anticipative and does not take the global driving situations and contexts (bend, city, motorway ...) into account. The use of navigation systems can provide good anticipation results and information about the driving environment. This paper presents an active automotive lighting system using predictive navigation data. This approach concerns several types of lighting strategies according to the driving situations and contexts considered. The originality of this work relies on an event-based analysis of the driving situation carried out with the navigation as a virtual sensor. This solution provides complete information on the driving situation and not only nodes and shape points dependent data. For the headlights control, a control law using a continuous curvature path model is implemented. This curvature-oriented preview control technique ensures the required anticipation level as can be seen in the experimental results presented.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122354530","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":"The BMW SURF Project: A Contribution to the Research on Cognitive Vehicles","authors":"S. Hoch, M. Schweigert, F. Althoff, G. Rigoll","doi":"10.1109/IVS.2007.4290197","DOIUrl":"https://doi.org/10.1109/IVS.2007.4290197","url":null,"abstract":"Within the last years, research in the field of cognitive vehicles has evolved to an important activity especially for car manufactures in the premium segment. Motivated by the robustness and flexibility of inter-human communication, highly integrated contextual awareness is being seen as a key component to provide an intuitive human-machine interface to the wide range of functions the driver is being confronted with in a modern driver's working place. In this work, we propose a highly flexible software architecture to develop and evaluate various services in the context of cognitive vehicle behaviour. The system has been implemented in an experimental car that is equipped with a wide range of sensors to acquire information from three sources: the car, the environment and the driver. Special efforts have been made to evaluate the performance and the potential of different driver monitoring approaches for the use in adaptive automotive applications, in both advanced driver assistance systems (ADAS) and in-vehicle information systems (IVIS). To evaluate the performance of our approach in detail, we have chosen an adaptive lane departure warning system. Different strategies for driver intention analysis are compared with regard to several criteria in a small evaluation study. The results clearly shows the importance and the potential of a complex contextual analysis for the emergence of future intelligent vehicle applications.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127614068","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":"Optimized Lane Assignment Using Inter-Vehicle Communication","authors":"Thanh-Son Dao, C. Clark, J. Huissoon","doi":"10.1109/IVS.2007.4290284","DOIUrl":"https://doi.org/10.1109/IVS.2007.4290284","url":null,"abstract":"This paper presents an approach to lane assignment for highway vehicles that increases traffic throughput while ensuring they exit successfully at their destinations. Most of current traffic management systems do not consider lane organization of vehicles and only regulate traffic flows by controlling traffic signals or ramp meters. However, traffic throughput and efficient use of highways can be increased by coordinating driver behaviors intelligently. The goal of this research is to form a distributed control strategy for cars themselves to select lanes using inter-vehicle communication. Initial results are promising and demonstrate that intelligent lane selection can decrease vehicle traffic time.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129262842","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 Global Optimization Algorithm for Real-Time On-Board Stereo Obstacle Detection Systems","authors":"S. Kubota, T. Nakano, Y. Okamoto","doi":"10.1109/IVS.2007.4290083","DOIUrl":"https://doi.org/10.1109/IVS.2007.4290083","url":null,"abstract":"A fast and robust stereo algorithm for on-board obstacle detection systems is proposed. The proposed method finds the optimum road-obstacle boundary which provides the most consistent interpretation of the input stereo image pair. Global optimization combined with a robust matching measure enables stable detection of obstacles under various circumstances, such as heavy rain and severe lighting conditions. The processing time for VGA size image pair is about 15 msec on a 3.6 GHz pentium IV processor, which is fast enough for realtime applications.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125526837","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":"The Application of Graphic Theory on Railway Yard Interlocking Control System","authors":"X. She, Yun Sha, Qiang Chen, Jian Yang","doi":"10.1109/IVS.2007.4290228","DOIUrl":"https://doi.org/10.1109/IVS.2007.4290228","url":null,"abstract":"A most important function of railway yard interlocking system is to supply accessible and safe routes for train dispatching, namely route search. A railway yard can be modeled as a directed weighted graph according to the network of infrastructure and rule of train movement. Then the problem turns to a graph search problem. In this paper we presented two style of interlocking system both existed with different characteristics and supply areas. Then two graph search approaches, based on revised Dijkstra algorithm and heuristic search algorithm respectively, are adopted to satisfy the different demand for each system. This associated solution is presented to be well fitted for railway yard interlocking system. Experiment results based on real yard graph demonstrate its feasibility and effectiveness.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125606106","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}