{"title":"Tracking multiple objects in traffic scenarios using free-form obstacle delimiters and particle filters","authors":"A. Vatavu, R. Danescu, S. Nedevschi","doi":"10.1109/ITSC.2013.6728418","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728418","url":null,"abstract":"Dynamic environment representation is an important research task in the field of advanced driving assistance systems. Usually, the tracking process is influenced by several factors, such as the unpredictable and deformable nature of the obstacles, the measurement uncertainties or the occlusions. This paper presents a stereo-vision based approach for tracking multiple objects in unstructured environments. The proposed technique relies on measurement data provided by an intermediate grid map and the object delimiters extracted from this grid. We present a particle filter based tracking solution in which a particle state is described by two components: the dynamic object parameters, and the object's geometry. In order to solve the high dimensionality state space problem a Rao-Blackwellized Particle Filter is used. The proposed method takes into consideration the stereo uncertainties and relies on a weighting mechanism based on the particle alignment error.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"239 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122933193","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 implicit solution scheme for the Link Transmission Model","authors":"Willem W. E. Himpe, R. Corthout, C. Tampère","doi":"10.1109/ITSC.2013.6728292","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728292","url":null,"abstract":"Dynamic network loading (DNL) models are at the core of a wide variety of optimization schemes and network analysis tools. In practice this calls for fast and efficient methods to calculate traffic states for various levels of accuracy and numerous adaptations to the boundary conditions. In this paper, we describe the Implicit Link Transmission Model (I-LTM) a dynamic network loading algorithm that avoids small update steps and is able to calculate adaptations of an existing solution efficiently. Within each update step, an implicit consistency problem between flow propagation and network constraints is formulated, resulting in a fixed point solution with appropriate network delays. In an iterative scheme, this consistency problem is solved using the constraints of a previous iteration. The algorithm is further optimized by limiting calculations to the part of the network that has changed. I-LTM allows for fast sensitivity analyses, optimization algorithms and calibration methods and it avoids numerical instabilities related to large time steps, typically observed in most DNL algorithms. This makes it beneficial in terms of calculation effort and robustness of the result.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128458387","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":"Monitoring head dynamics for driver assistance systems: A multi-perspective approach","authors":"Sujitha Martin, Ashish Tawari, M. Trivedi","doi":"10.1109/ITSC.2013.6728568","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728568","url":null,"abstract":"A visually demanding driving environment, where elements surrounding a driver are constantly and rapidly changing, requires a driver to make spatially large head turns. Many existing state of the art vision based head pose algorithms, however, still have difficulties in continuously monitoring the head dynamics of a driver. This occurs because, from the perspective of a single camera, spatially large head turns induce self-occlusions of facial features, which are key elements in determining head pose. In this paper, we introduce a shape feature based multi-perspective framework for continuously monitoring the driver's head dynamics. The proposed approach utilizes a distributed camera setup to observe the driver over a wide range of head movements. Using head dynamics and a confidence measure based on symmetry of facial features, a particular perspective is chosen to provide the final head pose estimate. Our analysis on real world driving data shows promising results.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128350671","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":"Survey on planning problems in inland waterway transport: current status and future perspectives","authors":"Shijie Li, R. Negenborn, G. Lodewijks","doi":"10.1109/ITSC.2013.6728400","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728400","url":null,"abstract":"Inland waterway transport plays an important role for the transport of goods in Europe. More than 37,000 kilometers of waterways connect hundreds of cities and industrial regions. Compared with other modes of transport which are often confronted with congestion and capacity problems, inland waterway transport is characterized by its reliability, low environmental impact and its major capacity for increased exploitation. The European Commission aims to promote and strengthen the competitive position of the inland waterway transport in the transport system and to facilitate its integration into the intermodal logistic chain. Thus, inland waterway transport will be a promising research issue in the near future. The objective of this paper is to review the current status of research on inland waterway transport at a tactical planning level. This paper firstly describes the characteristics and relevant activities involved in this transport mode and then reviews the literature published recently. Finally, this paper presents some perspectives regarding future research directions in the field of inland waterway transport.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128671582","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":"Predictive fuel efficiency optimization using traffic light timings and fuel consumption model","authors":"Tianyi Guan, C. Frey","doi":"10.1109/ITSC.2013.6728451","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728451","url":null,"abstract":"Energy efficiency has become a major issue in trade, transportation and environment protection. While the next generation of zero emission propulsion systems are still under development, it is already possible to increase fuel efficiency in regular vehicles by applying a more fuel efficient driving behaviour. Fuel efficiency depends on vehicle specific characteristics, e.g. engine efficiency and transmission configuration. It also depends on current and future events in the environment, e.g. traffic lights or other traffic participants. This paper proposes an approach to make predictive use of traffic light timings while also incorporating knowledge about the vehicle's power-train. The optimization is largely based on dynamic programming. The results are a velocity and gear shift guidance for the driver to follow. Results based on simulations show that a system assisted driver can achieve significant fuel savings compared to an unassisted driver.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129002221","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":"Minimizing the inter-vehicle distances of the time headway policy for urban platoon control with decoupled longitudinal and lateral control","authors":"A. Ali, G. Garcia, P. Martinet","doi":"10.1109/ITSC.2013.6728490","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728490","url":null,"abstract":"Recently in [1], a modification of classical constant time headway policy (CTH) was proposed in order to make CTH very practical and easy to use in real applications. This modification was tested and its benefits were shown only for highways application. In this paper, this modification is generalized in order to make it applicable in urban environment. Dynamic and kinematic models of the vehicle are mixted without accounting wheel slip. By using exact linearization technique, lateral and longitudinal dynamics become decoupled. Stability and accuracy of the global system are checked. Using TORCS [8] in simulation, effectiveness of the proposed modification and its potential effect on traffic density are reported.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129698823","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}
Valerio Turri, Ashwin Carvalho, H. E. Tseng, K. Johansson, F. Borrelli
{"title":"Linear model predictive control for lane keeping and obstacle avoidance on low curvature roads","authors":"Valerio Turri, Ashwin Carvalho, H. E. Tseng, K. Johansson, F. Borrelli","doi":"10.1109/ITSC.2013.6728261","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728261","url":null,"abstract":"This paper presents a control architecture based on a linear MPC formulation that addresses the lane keeping and obstacle avoidance problems for a passenger car driving on low curvature roads. The proposed control design decouples the longitudinal and lateral dynamics in two successive stages. First, plausible braking or throttle profiles are defined over the prediction horizon. Then, based on these profiles, linear time-varying models of the vehicle lateral dynamics are derived and used to formulate the associated linear MPC problems. The solutions of the optimization problems are used to determine for every time step, the optimal braking or throttle command and the corresponding steering angle command. Simulations show the ability of the controller to overcome multiple obstacles and keep the lane. Experimental results on an autonomous passenger vehicle driving on slippery roads show the effectiveness of the approach.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"7 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130302489","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":"Estimating traffic signal phases from turning movement counters","authors":"Mostafa Reisi Gahrooei, D. Work","doi":"10.1109/itsc.2013.6728381","DOIUrl":"https://doi.org/10.1109/itsc.2013.6728381","url":null,"abstract":"This work poses the problem of estimating traffic signal phases from a sequence of maneuvers recorded from a turning movement counter. Inspired by the part-of-speech tagging problem in natural language processing, a hidden Markov model of the intersection is proposed. The model is calibrated from maneuver observations using the Baum-Welch algorithm, and the trained model is used to infer phases via the Viterbi algorithm. The approach is validated through numerical and experimental tests, which highlight that good performance can be achieved when sufficient training data is available, and when diverse maneuvers are observed during each phase. The supporting codes and data are available to download at https://github.com/reisiga2/Estimating-phases-from-turning-movement-counts.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130337899","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":"Road travel time prediction - A micro-level sampling approach","authors":"Gideon Mbiydzenyuy, M. Dahl, J. Holmgren","doi":"10.1109/ITSC.2013.6728460","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728460","url":null,"abstract":"The ability to generate accurate travel time predictions for road freight transport is important when, for example, estimating the arrival times for heavy goods vehicles (HGVs) in order to plan terminal activities. We present a micro-level sampling method for road travel time prediction. The method makes use of historical GPS-data in order to determine the movement of a vehicle from an origin to a destination along a specific route. The method generates a travel time distribution, which can be used to obtain the expected travel time and probabilities for deviations. The method has been illustrated and evaluated in an experiment where the effective travel time was predicted for transport between two terminals. The experiment made use of GPS data that was recorded for two HGVs during a period of two months. An important feature of the method is that it does not need road network information, such as speed limits and number of lanes.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129243289","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":"Hybrid control for cooperative vehicle-platoon via the hardware-in-the-loop simulator","authors":"Yulin Ma, Youchun Xu, Qing Wu, Rui Zhang","doi":"10.1109/ITSC.2013.6728582","DOIUrl":"https://doi.org/10.1109/ITSC.2013.6728582","url":null,"abstract":"Cooperative driving for vehicle platoon is one of the crucial application and demonstration in the field of Intelligent Vehicle-Highway Systems (IVHS). It is very important to use both hybrid dynamical system and hardware-in-the-loop simulation (HILS) to study cooperative vehicle platoon system. In the paper, different cooperative states of vehicle platoon with hybrid logic are proposed, and validation via HILS is presented. Since the desired velocity, spacing and length of the vehicle platoon are given discretely and arbitrarily, there are usually discontinuities or discrete jumps between desired and current vehicle platoon states immediately after states transition. Hybrid automata is designed to minimize the performance degradation resulting from the state transition by using finite state machine (FSM), Terminal sliding mode control (TSMC) is applied to design a combined longitudinal and lateral controller, whose stability during the state transition is guaranteed by the Lyapunov function. Furthermore, the validation via HILS is performed with a minimum of cost and effort compared to the field test of a real vehicle platoon. In the end, the various cooperative maneuvers and scenarios test are considered and the corresponding performance of the controller is shown in the end.","PeriodicalId":275768,"journal":{"name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124109634","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}