{"title":"Robust visual surveillance based traffic information analysis and forewarning in urban dynamic scenes","authors":"Jie Shao, Zhen Jia, Zhi-peng Li, Fuqiang Liu, Jianwei Zhao, Pei-Yuan Peng","doi":"10.1109/IVS.2010.5548098","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548098","url":null,"abstract":"Forewarning to avoid potential traffic accidents is of great importance for Intelligent Transportation Systems (ITS). Under pedestrian and vehicle mixed traffic conditions like urban road intersections, traffic monitoring and forewarning have especially important values. Therefore in this paper a novel urban traffic information analysis and forewarning system is presented. Our system contains modules including object detection based on background subtraction; object tracking based on Multiple Hypotheses Tracking; and object status judgment based on forewarning logic for abnormality detection. Different from other approaches, we improve object tracking by fusing object's position, size, velocity and its multi-part color histogram for data association. Through fusion we can better handle foreground object missing, merging and splitting problems during the tracking process. To enhance the practicality of our system, forewarning logic is designed according to different use cases for traffic abnormality detection, which is defined based on our extensive study on traffic status monitoring. Experiments with short and long video sequences show robust and accurate results of abnormality detection and forewarning under conditions of varying view angles, zoom depths, backgrounds, and frame rates. All the experimental results run at real-time frame rates (≥ 25 fps) on standard hardware, which is suitable for actual ITS applications.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"05 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130521270","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":"Truck automation operational concept alternatives","authors":"S. Shladover","doi":"10.1109/IVS.2010.5548061","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548061","url":null,"abstract":"This paper defines a comprehensive range of operational concepts for automating the driving of heavy trucks. These concepts are defined in terms of the amount of driving functionality that is transferred from the driver to the automated system and the roadway conditions in which the trucks would operate. With the minimum amount of automation (providing only safety warnings to drivers) it should be feasible and safe to operate in any roadway environment, but with the maximum use of automation operations must be restricted to simplified and protected driving environments to keep the complexity of the automation challenges tractable. This systematic classification of operational concept alternatives is intended to help stakeholders who are interested in truck automation to focus on specific alternatives.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115692463","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 voting strategy for visual ego-motion from stereo","authors":"Stepán Obdrzálek, Jiri Matas","doi":"10.1109/IVS.2010.5548093","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548093","url":null,"abstract":"We present a procedure for egomotion estimation from visual input of a stereo pair of video cameras. The 3D egomotion problem, which has six degrees of freedom in general, is simplified to four dimensions and further decomposed to two two-dimensional subproblems. The decomposition allows us to use a voting strategy to identify the most probable solution, avoiding the random sampling (RANSAC) or other approximation techniques. The input constitutes of image correspondences between consecutive stereo pairs, i.e. feature points do not need to be tracked over time. The experiments show that even if a trajectory is put together as a simple concatenation of frame-to-frame increments, it comes out reliable and precise.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"14 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120866747","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}
Mohamed El Ansari, S. Mousset, A. Bensrhair, G. Bebis
{"title":"Temporal consistent fast stereo matching for advanced driver assistance systems (ADAS)","authors":"Mohamed El Ansari, S. Mousset, A. Bensrhair, G. Bebis","doi":"10.1109/IVS.2010.5548054","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548054","url":null,"abstract":"In this paper, we present a new fast method for matching stereo images acquired by a stereo sensor embedded in a moving vehicle. The method consists in exploiting the matching results obtained in one stereo pair (frame) for computing the disparity map of the following stereo pair. This can be achieved by finding a temporal relationship, which we named association, between consecutive frames. The disparity range of the current frame is deduced from the disparity map of the preceding frame and the association between the two frames. Dynamic programming technique is considered for matching the image features. The proposed approach is tested on virtual and real stereo image sequences and the results are satisfactory. The method is fast and able to provide about 20 millions disparity maps per second on a HP Pavilion dv6700 2.1GHZ.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125058389","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":"How flying got smarter","authors":"R. Bohn","doi":"10.1109/IVS.2010.5547961","DOIUrl":"https://doi.org/10.1109/IVS.2010.5547961","url":null,"abstract":"Most flying activities today are based on extensive knowledge, embodied in smart devices and algorithms to supplement and sometimes supplant pilots. Control developed in five principal stages. Initially flying was a pure craft, with high variability and low safety. In the 1930s, rules were developed, and instruments replaced human senses. Rule-based control proved inadequate to handle the complexity of WW II aircraft, and the result was the development of standard procedures. These three stages all used the human pilot to do the actual control. Two further stages use automated control. But higher stages of flying control revert to lower stages in some situations.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125408859","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":"On-road vehicle tracking using deformable object model and particle filter with integrated likelihoods","authors":"A. Takeuchi, S. Mita, David A. McAllester","doi":"10.1109/IVS.2010.5548067","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548067","url":null,"abstract":"This paper proposes a novel method for vehicle detection and tracking using a vehicle-mounted monocular camera. In this method, features of vehicles are learned as a deformable object model through the combination of a latent support vector machine (LSVM) and histograms of oriented gradients (HOG). The vehicle detector uses both global and local features as the deformable object model. Detected vehicles are tracked by using a particle filter with integrated likelihoods, such as the probability of vehicles estimated from the deformable object model and the intensity correlation between different picture frames. Tracking likelihoods are iteratively used as the a priori probability for the next frame. The experimental results showed that the proposed method can achieve an average vehicle detection rate of 98% and an average vehicle tracking rate of 87% with a false positive rate of less than 0.3%.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126650861","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":"Object related reactive offset maneuver","authors":"Falk Hecker, T. Luettel, Hans-Joachim Wünsche","doi":"10.1109/IVS.2010.5548068","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548068","url":null,"abstract":"This paper describes a method for an object related reactive offset maneuver increasing the number of action alternatives for an autonomous ground vehicle. The method improves a variety of time-critical maneuvers as for example merging into moving traffic, changing lanes, passing other traffic participants as well as emergency obstacle avoidance without having to replan a path using high-level planning methods. It is especially targeted at autonomous driving on country roads. As oncoming traffic increases the relative speed between participants, a quick reponse to changes of the traffic situation are critically important. Moreover the method does not require constant vehicle velocities throughout a lane change maneuver as most existing approaches do. Simulations show improvements of the behaviour capabilities of an autonomous vehicle using the presented lateral reactive offset maneuvers.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122339472","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":"Stadtpilot: Driving autonomously on Braunschweig's inner ring road","authors":"J. Wille, F. Saust, M. Maurer","doi":"10.1109/IVS.2010.5548034","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548034","url":null,"abstract":"The development of the autonomous vehicle named “Caroline” for the 2007 DARPA Urban Challenge was a great opportunity to demonstrate the abilities of the Technische Universität Braunschweig in the research field of autonomous driving. Among 11 teams out of the initially 89, the CarOLO team mastered the challenges to qualify for the final DARPA Urban Challenge event. Based on this experience, the Technische Universität Braunschweig is currently working on the follow-up project “Stadtpilot” with the objective to drive fully autonomously on Braunschweig's entire ring road, which is known as the arterial road of its inner city traffic. This paper introduces the “Stadtpilot”-Project in the context of the Urban Challenge experience and identifies the differences to previous activities in this research context. The scientific claim will be shown in contrast to the Urban Challenge scenario. Completely new concepts are required to master the challenges of realizing autonomous driving in the domain of Braunschweig's inner ring road. An approach for the comprehensive treatment of path-planned sections is shown that realizes complex and precise autonomous driving maneuvers in a real urban environment and is observed as the first major success of the “Stadtpilot”-Project. Curvature optimized trajectories are generated over the whole roadway that are independent from the way driving decisions are found.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122360191","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 spatial QoS requirements specification for V2V applications","authors":"Kristoffer Lidström, Tony Larsson","doi":"10.1109/IVS.2010.5548092","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548092","url":null,"abstract":"Vehicle-to-vehicle wireless communication is a key component of tomorrow's cooperative safety applications. However, the wireless link is susceptible to effects such as shadowing which can cause communication failures. Such failures may in turn lead to hazardous traffic situations when safety applications cease to function. By monitoring communication QoS and adapting to changes, effects of link failure may be mitigated, however this requires a specification of the application QoS requirements. In this paper we combine the T-Window reliability QoS metric with a spatial component, allowing us to capture the dependencies between VANET QoS requirements and road geometry. The proposed representation can be used both at design-time, to characterize applications, and at run-time for QoS monitoring and adaptation purposes.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128313376","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":"Autonomous driving of intelligent vehicle BIT in 2009 Future Challenge of China","authors":"Guang-ming Xiong, Peiyun Zhou, Shengyan Zhou, Xijun Zhao, Haojie Zhang, Jian-wei Gong, Huiyan Chen","doi":"10.1109/IVS.2010.5548147","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548147","url":null,"abstract":"The 2009 Future Challenge - Intelligent Vehicle and Beyond (FC'09) was held in Xi'an, China. Our intelligent vehicle named BIT participated in all competitions at this event. This paper describes BIT's system structure and its capabilities. BIT combines a global path planning method and local path planning to drive the vehicle to address the challenges posted by the unknown competition environment. A novel curve tracking strategy based on preview and curve bisector is developed for complex paths such as U-turn. For recognizing traffic lights, Haar feature and AdaBoost algorithm are used to train and obtain traffic light classifiers. Normalization of every candidate region in RGB and HSV spaces is performed and compared with a threshold to fulfill the verification. The experiment describes BIT's performance and the conclusion sets forth the main work in the next step.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129903917","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}