{"title":"The Intelligent Vehicle On An Automated Highway System: ADVANCE-F","authors":"Amoeba T S Chang","doi":"10.1109/IVS.1993.697326","DOIUrl":"https://doi.org/10.1109/IVS.1993.697326","url":null,"abstract":"An automated highway system named ADVANCE-F (Advanced Drive Vehicle/ Automatic Navigation and Control Enroute System-Freeway) is being developed and tested by the author. This paper presents the framework of the prototype vehicle and its implemental orientations.","PeriodicalId":283697,"journal":{"name":"Proceedings of the Intelligent Vehicles '93 Symposium","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121985307","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}
B. Mertsching, H. Austermeier, U. Bilker, G. Hartmann
{"title":"Interpretation Of Traffic Scenes Using A Hierarchical Data Structure","authors":"B. Mertsching, H. Austermeier, U. Bilker, G. Hartmann","doi":"10.1109/IVS.1993.697316","DOIUrl":"https://doi.org/10.1109/IVS.1993.697316","url":null,"abstract":"This paper describes a hierarchical vision system for the detection and classification of traffic signs on freeways. The structure and color information of an image is used for detection of traffic signs in the image and coarse classification. Regions-of-interest (RoI) each of them containing only one hypothetical traffic sign, are investigated using pixel classification methods. In this paper, the use of structure information is emphasized and some aspects of its integration into a vision system are demonstrated.","PeriodicalId":283697,"journal":{"name":"Proceedings of the Intelligent Vehicles '93 Symposium","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128130187","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 Transputer-based Distributed System For Autonomous Vehicles Control","authors":"T. Gil, M. Benoit","doi":"10.1109/IVS.1993.697324","DOIUrl":"https://doi.org/10.1109/IVS.1993.697324","url":null,"abstract":"This paper presents a transputer-based embedded system designed to drive a vehicle in an unknown environment. It explains the choice of transputers and describes the controller architecture implemented on the experimental mobile platform named VEGA (Vehicule Experimental a Grande Autonomie).","PeriodicalId":283697,"journal":{"name":"Proceedings of the Intelligent Vehicles '93 Symposium","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116945919","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}
W. Enkelmann, G. Nirschi, V. Gengenbach, W. Kruger, S. Rossle, W. Tolle
{"title":"Realization Of A Driver's Warning Assistant For Intersections","authors":"W. Enkelmann, G. Nirschi, V. Gengenbach, W. Kruger, S. Rossle, W. Tolle","doi":"10.1109/IVS.1993.697300","DOIUrl":"https://doi.org/10.1109/IVS.1993.697300","url":null,"abstract":"This paper describes a driver's warning assistant (DWA), an automatic co- pilot system that is designed to support the driver in actual traffic situations. In contrast to systems that concentrate on autonomous driving, a DWA presents warning messages to a driver instead of acting directly upon the vehicle or the environment. The feasibility of the DWA' s functions were tested in traffic situations approaching an intersection.","PeriodicalId":283697,"journal":{"name":"Proceedings of the Intelligent Vehicles '93 Symposium","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121531299","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":"RACCOON: A Real-time Autonomous Car Chaser Operating Optimally At Night","authors":"R. Sukthankar","doi":"10.1109/IVS.1993.697294","DOIUrl":"https://doi.org/10.1109/IVS.1993.697294","url":null,"abstract":"Abstract : RACCOON is a vision system that tracks car taillights at night. It builds a global map in real time of the lead vehicle's position based on the location and separation of the taillights in a sequence of video images. RACCOON has been integrated into a car following experiment on the CMU Navlab II, a computer-controlled HMMWV testbed. The Navlab II safely followed a lead vehicle on a winding road in light traffic at 32 km/h.","PeriodicalId":283697,"journal":{"name":"Proceedings of the Intelligent Vehicles '93 Symposium","volume":"70 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113970203","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":"Automated Vehicle System Using Both A Computer Vision And Magnetic Field Sensors","authors":"T. Yokoyarna, A. Tachibana, T. Suzuki, H. Inoue","doi":"10.1109/IVS.1993.697315","DOIUrl":"https://doi.org/10.1109/IVS.1993.697315","url":null,"abstract":"For automated vehicle highway systems, a reliable sensor which measures vehicle position and road curvature is necessary. This paper describes an integrated sensing system which consists of a computer vision and magnetic field sensors with inductive cable. Especially, a new image processing technique based on a template matching algorithm is developed. Not only vehicle position measured by magnetic field sensors but also knowledge of road structures is taken into account to detect lane boundaries. Road curvature can be estimated accurately from the detected lane boundaries and vehicle yaw angle. Experiments were carried out and provided encouraging resulu.","PeriodicalId":283697,"journal":{"name":"Proceedings of the Intelligent Vehicles '93 Symposium","volume":"13 48","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114046367","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}