Andre Bolles, Hans-Jürgen Appelrath, Dennis Geesen, M. Grawunder, Marco Hannibal, Jonas Jacobi, F. Köster, D. Nicklas
{"title":"StreamCars: A new flexible architecture for driver assistance systems","authors":"Andre Bolles, Hans-Jürgen Appelrath, Dennis Geesen, M. Grawunder, Marco Hannibal, Jonas Jacobi, F. Köster, D. Nicklas","doi":"10.1109/IVS.2012.6232125","DOIUrl":"https://doi.org/10.1109/IVS.2012.6232125","url":null,"abstract":"One of the main challenges in the development of traffic systems is to assure safety for all road users. Hence, especially expensive vehicles are equipped with advanced driver assistance systems (ADAS) that use data about the vehicle and information about objects in the proximity of the vehicle to execute the assistance function. These objects have to be detected by sensors and they have to be tracked over multiple scans to keep the object's state up-to-date. Usually, such ADAS are developed as proprietary systems that are tailored for the specific assistance function and the specific sensors in use. Indeed, that leads to a very efficient system. However, changing system properties, e. g. an exchange of sensors, is very expensive. In this case, very often at least some parts of the system code have to be reimplemented. To solve this problem of bad maintainability which arises especially during the development of new assistance functions in this work a new architecture for ADAS is presented. The relevant information for the assistance function is no longer provided by hard coded, predefined processes, but by flexible continuous operator plans in a datastream management system. These operator plans build up a dynamic context model of the vehicle's environment. The context model is kept up-to-date by object tracking operators in these operator plans and is then used as a data source to extract information for different assistance functions. This extraction is also done by operator plans that produce only relevant information and discard other information.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123564426","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":"Modular approach to energy efficient driver assistance incorporating driver acceptance","authors":"P. Themann, L. Eckstein","doi":"10.1109/IVS.2012.6232116","DOIUrl":"https://doi.org/10.1109/IVS.2012.6232116","url":null,"abstract":"The deployment of predictive driving styles reduces fuel consumption of vehicles significantly, while assistance systems can support drivers in this task. This paper describes a modular approach to consider various sources of information as well as different driver and vehicle types in the prediction and the optimization of the vehicle's longitudinal dynamics to reduce fuel consumption. Energy efficient driving strategies such as roll out or fuel cut-off are compared to the average driving behavior of the driver. The utility of the efficient strategies is assessed relative to the average driver behavior, which is similar to human information processing. Resulting optimal driving strategies are provided to the driver as recommendations or applied to vehicles by intervening assistance systems such as adaptive cruise control. This paper aims to summarize the basic methodology of the approach.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124795025","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 novel approach for the probabilistic computation of Time-To-Collision","authors":"A. Berthelot, A. Tamke, T. Dang, G. Breuel","doi":"10.1109/IVS.2012.6232221","DOIUrl":"https://doi.org/10.1109/IVS.2012.6232221","url":null,"abstract":"Reliability and fault tolerance are very important criteria in the design and development of advanced driver assistance systems (ADAS). Modern driver assistance systems rely on several sources of information such as radar or image processing. A reliable system has to handle the uncertainty with the information it receives as input, in order to make robust and reliable decisions. In the situation analysis the Time metrics such as Time-To-Collision (TTC), Time-To-Brake (TTB), Time-To-React (TTR) are criticality measures assessing the risk potential of traffic situation. Such measures can be used to trigger warnings and emergency maneuvers in driver assistance systems. This paper presents an efficient algorithm to compute the probability distribution of TTC induced by an uncertain system input and thus allows to use TTC as a more robust and reliable probabilistic activation condition. The accuracy of the presented method was proven in the simulation using the example of several types of crossing scenarios.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125096203","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":"Fast visual road recognition and horizon detection using multiple artificial neural networks","authors":"P. Shinzato, V. Grassi, F. Osório, D. Wolf","doi":"10.1109/IVS.2012.6232175","DOIUrl":"https://doi.org/10.1109/IVS.2012.6232175","url":null,"abstract":"The development of autonomous vehicles is a highly relevant research topic in mobile robotics. Road recognition using visual information is an important capability for autonomous navigation in urban environments. Over the last three decades, a large number of visual road recognition approaches have been appeared in the literature. This paper proposes a novel visual road detection system based on multiple artificial neural networks that can identify the road based on color and texture. Several features are used as inputs of the artificial neural network such as: average, entropy, energy and variance from different color channels (RGB, HSV, YUV). As a result, our system is able to estimate the classification and the confidence factor of each part of the environment detected by the camera. Experimental tests have been performed in several situations in order to validate the proposed approach.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124084309","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":"Real-time detection and tracking of pedestrians at intersections using a network of laserscanners","authors":"D. Meissner, Stephan Reuter, K. Dietmayer","doi":"10.1109/IVS.2012.6232226","DOIUrl":"https://doi.org/10.1109/IVS.2012.6232226","url":null,"abstract":"Accident analysis shows that the majority of accidents with body injuries occur in urban areas and more than 50 percent of those urban accidents happen at intersections. Due to that a major aim of the Ko-PER project, which is part of research initiative Ko-FAS, is to improve safety at intersections by infrastructure based perception. To recognize and track the moving objects, a network of laserscanner sensors observes the intersection and provides a 3D profile of the current scene. By means of the 3D measurements a robust and adaptive Gaussian mixture background model is trained to segment the measurements of dynamic objects and static objects. After the segmentation, the foreground points of each sensor are clustered based on the density of the point clouds and finally pedestrians are classified using dimension features. This paper focuses on tracking of pedestrians, which are the most vulnerable road users. In order to be able to integrate dependencies between the states of the pedestrians, a random finite set particle filter is used to track the pedestrians. The performance of the laserscanner based tracking system is shown and evaluated with measurements from the Ko-PER test intersection at Conti-Safety-Park. Therefore, the optimal subpattern assignment (OSPA) metric is used to evaluate the object recognition and tracking system.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130136083","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":"Model-based detection and tracking of vehicle using a scanning laser rangefinder: A particle filtering approach","authors":"Élodie Vanpoperinghe, M. Wahl, J. Noyer","doi":"10.1109/IVS.2012.6232265","DOIUrl":"https://doi.org/10.1109/IVS.2012.6232265","url":null,"abstract":"A method derived from the Sequential Monte Carlo approaches is proposed here to solve the vehicle detection and tracking problem using a scanning laser rangefinder. The originality of this approach lies in a joint detection and tracking of the objects that avoid the usual pre-detection stage. The proposed modeling is strongly nonlinear. To improve the efficiency of the solution, we use a Rao-Blackwell particle filter: the non-linearity of the state-space equations is taken into account by a particle filter and the linearity is optimally processed by a Kalman filter. The solution of the proposed modeling is based on a matched filter (to the object) which uses a predefined vehicle model. A central point here is to calculate the weights of the matched particle filter according to the vehicle model. The efficiency of the method is shown in terms of estimation accuracies and detection.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126363362","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}
Bernhard Kloiber, T. Strang, Hanno Spijker, G. Heijenk
{"title":"Improving information dissemination in sparse vehicular networks by adding satellite communication","authors":"Bernhard Kloiber, T. Strang, Hanno Spijker, G. Heijenk","doi":"10.1109/IVS.2012.6232136","DOIUrl":"https://doi.org/10.1109/IVS.2012.6232136","url":null,"abstract":"Information dissemination in pure Vehicular Ad Hoc NETworks (VANETs) such as ITS-G5 becomes problematic when the network is sparse. In situations where the number of vehicles, that can act as a communication node, is insufficiently low, e.g. in rural areas, during nighttime or because of a low market penetration of the technology in the early years of market introduction, certain range limits (unavailability of forwarding nodes) or timing limits (store-and-forward techniques) are stressed. Due to the limited communication range, VANETs start to build separated clusters, if the density of equipped vehicles is too low. Consequently, information dissemination without delay-massive store-and-forwarding is only possible within one cluster, but not beyond. This paper investigates the integration of Car-to-Car (C2C) with an additional satellite communication technology, referred to as Car-to-Satellite (C2S). A realistic sparse vehicular network scenario has been simulated and evaluated with respect to the in-time reception of safety-related information. The results show that information dissemination can be significantly improved through a limited number of vehicles which are additionally equipped with satellite terminals. In fact, even the market introduction of VANET-based ITS can be significantly accelerated with just a few vehicles equipped with non-VANET communication technology.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126593026","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":"Improving lateral performance of longer combination vehicles — An approach based on eigenstructure assignment","authors":"S. Kharrazi, T. Gordon, M. Lidberg","doi":"10.1109/IVS.2012.6232151","DOIUrl":"https://doi.org/10.1109/IVS.2012.6232151","url":null,"abstract":"Feasibility of eigenstructure assignment for controlling lateral performance of longer combination vehicles is investigated. As a sample case, a controller is designed for a truck-dolly-semitrailer combination based on partial eigenstructure assignment and frequency response analysis. The results of simulations with a nonlinear vehicle model show significant improvement in lateral performance of the vehicle with the designed controller.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121134976","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":"Constraint-based planning and control for safe, semi-autonomous operation of vehicles","authors":"S. J. Anderson, S. Karumanchi, K. Iagnemma","doi":"10.1109/IVS.2012.6232153","DOIUrl":"https://doi.org/10.1109/IVS.2012.6232153","url":null,"abstract":"This paper presents a new approach to semi-autonomous vehicle hazard avoidance and stability control, based on the design and selective enforcement of constraints. This differs from traditional approaches that rely on the planning and tracking of paths. This emphasis on constraints facilitates “minimally-invasive” control for human-machine systems; instead of forcing a human operator to follow an automation-determined path, the constraint-based approach identifies safe homotopies, and allows the operator to navigate freely within them, introducing control action only as necessary to ensure that the vehicle does not violate safety constraints. The method evaluates candidate homotopies based on “restrictiveness”, rather than traditional measures of path goodness, and designs and enforces requisite constraints on the human's control commands to ensure that the vehicle never leaves the controllable subset of a desired homotopy. Identification of these homotopic classes in off-road environments is performed using geometric constructs. The goodness of competing homotopies and their associated constraints is then characterized using geometric heuristics. Finally, input limits satisfying homotopy and vehicle dynamic constraints are enforced using threat-based feedback mechanisms to ensure that the vehicle avoids collisions and instability while preserving the human operator's situational awareness and mental models. The methods developed in this work are shown in simulation and experimentally demonstrated in safe, high-speed teleoperation of an unmanned ground vehicle.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123272536","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}
Mario G. Manzano, F. Espinosa, Á. Bravo, David García, Alfredo Gardel Vicente, I. B. Muñoz
{"title":"Medium access control based on a Non Cooperative Cognitive Radio for platooning communications","authors":"Mario G. Manzano, F. Espinosa, Á. Bravo, David García, Alfredo Gardel Vicente, I. B. Muñoz","doi":"10.1109/IVS.2012.6232172","DOIUrl":"https://doi.org/10.1109/IVS.2012.6232172","url":null,"abstract":"The emergence of Intelligent Transport Systems has led to the development of a specific communications standard carried out by the IEEE: Wireless Access in Vehicular Environments (WAVE). However, this standard does not address certain critical security and real time application constraints, such as the platooning guidance of transport units. This paper presents an original proposal of medium access control protocol based on Non Cooperative Cognitive Radio techniques to obtain a mechanism which complies with the requirements of real time communications. The mechanism also offers other advantages, such as avoiding signalling and the capacity to adapt to channel conditions. The solution is applied to the problem of units merging a convoy. Comparison results between the proposal and Slotted-Aloha are included.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123148374","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}