2013 IEEE Intelligent Vehicles Symposium (IV)最新文献

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Strategic decision making for automated driving on two-lane, one way roads using model predictive control 基于模型预测控制的双车道单向道路自动驾驶策略决策
2013 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2013-06-23 DOI: 10.1109/IVS.2013.6629638
J. Nilsson, J. Sjöberg
{"title":"Strategic decision making for automated driving on two-lane, one way roads using model predictive control","authors":"J. Nilsson, J. Sjöberg","doi":"10.1109/IVS.2013.6629638","DOIUrl":"https://doi.org/10.1109/IVS.2013.6629638","url":null,"abstract":"This paper presents an algorithm for strategic decision making regarding when lane change and overtake manoeuvres are desirable and feasible. By considering the task of driving on two-lane, one-way roads, as the selection of desired lane and velocity profile, the algorithm provides useful results in terms of velocity control as well as a decision variable corresponding to whether a lane change manoeuvre should be performed. The decision process is modelled through a mixed logical dynamical system which is solved through model predictive control using mixed integer program formulation. The performance of the proposed control system is explored through simulations of varying driving scenaria on a two-lane, one-way road, which shows the capability of the system to achieve appropriate longitudinal and lateral control strategies depending on the traffic situation.","PeriodicalId":251198,"journal":{"name":"2013 IEEE Intelligent Vehicles Symposium (IV)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128247484","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}
引用次数: 66
An integrated ADAS for assessing risky situations in urban driving 用于评估城市驾驶危险情况的集成ADAS
2013 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2013-06-23 DOI: 10.1109/IVS.2013.6629484
Thomas H. Weisswange, B. Bolder, J. Fritsch, Stephan Hasler, C. Goerick
{"title":"An integrated ADAS for assessing risky situations in urban driving","authors":"Thomas H. Weisswange, B. Bolder, J. Fritsch, Stephan Hasler, C. Goerick","doi":"10.1109/IVS.2013.6629484","DOIUrl":"https://doi.org/10.1109/IVS.2013.6629484","url":null,"abstract":"Advanced Driver Assistance Systems (ADAS) are becoming more and more popular. Many of these systems though are limited to specific scenes and often detect risky situations very late so they can only mitigate accidents. These effects are mainly caused by the use of simple physical prediction methods, e.g. to estimate the time-to-contact with another vehicle. In this paper we show an ADAS that extends the functionality of physical collision warnings by additionally estimating potential risks based on implicit predictions. As an example we demonstrate the use of vehicle orientation information for classifying situations. Through this, we can in particular assess the risk of static cars, for which physical prediction does not apply, but which can nevertheless easily cause an accident if they start moving into our driving corridor. The proposed system is evaluated online in a test car and is shown to reliably detect classical risky situations as well as those involving static cars.","PeriodicalId":251198,"journal":{"name":"2013 IEEE Intelligent Vehicles Symposium (IV)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128365497","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}
引用次数: 8
A study on the behavior of pedestrians when confirming approach of right/left-turning vehicle while crossing a crosswalk 行人通过人行横道时确认右/左转弯车辆接近的行为研究
2013 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2013-06-23 DOI: 10.1109/IVWORKSHOPS.2013.6615233
H. Hamaoka, T. Hagiwara, Masahiro Tada, K. Munehiro
{"title":"A study on the behavior of pedestrians when confirming approach of right/left-turning vehicle while crossing a crosswalk","authors":"H. Hamaoka, T. Hagiwara, Masahiro Tada, K. Munehiro","doi":"10.1109/IVWORKSHOPS.2013.6615233","DOIUrl":"https://doi.org/10.1109/IVWORKSHOPS.2013.6615233","url":null,"abstract":"In this study, head-turning behavior is analyzed to determine the best location for pedestrians to confirm the approach of a vehicle while crossing a crosswalk. It was found that the head-turning frequency increases towards the entry of the crosswalk and the conflict point. Moreover, the analysis of different attributes indicated that the head-turning frequency at nighttime or by elderly people tended to be low, and that head-turning was performed more at the conflict point. These results suggest that there is a need to provide information about approaching vehicles. When a vehicle approached the subjects from behind, the head-turning frequency was low, implying the need for information for pedestrians. According to the above results, there are several important locations where pedestrians should confirm the approach of a vehicle to ensure their safety.","PeriodicalId":251198,"journal":{"name":"2013 IEEE Intelligent Vehicles Symposium (IV)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129471151","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}
引用次数: 4
Non-parametric occupancy map using millions of range data 使用数百万范围数据的非参数占用图
2013 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2013-06-23 DOI: 10.1109/IVS.2013.6629554
Clément Deymier, Damien Vivet, T. Chateau
{"title":"Non-parametric occupancy map using millions of range data","authors":"Clément Deymier, Damien Vivet, T. Chateau","doi":"10.1109/IVS.2013.6629554","DOIUrl":"https://doi.org/10.1109/IVS.2013.6629554","url":null,"abstract":"This paper presents a fast method to estimate the probability of occupancy of a space point from a huge set of 3D rays represented in a common reference. These data can come from any range finding sensor such as : Lidar, Kinect or Velodyne. The key idea is to consider that the occupancy of a space 3D point is linked to 1) the number of 3D point belonging to a local volume around the point and 2) the number of rays crossing through the same volume. We propose a probabilistic non-parametric framework based on KNN estimator. The major contribution of the paper is an original solution to search rays in the neighborhood of a 3D point with a five dimensional binary tree that can handle several millions measurements. Experiments shows the relevance of the proposed method in terms of both accuracy and computation time. Moreover, the resulting method has been applied to three different 3D sensors: a Kinect, a 3D Lidar (Velodyne HDL-64E) and a mono-planar Lidar.","PeriodicalId":251198,"journal":{"name":"2013 IEEE Intelligent Vehicles Symposium (IV)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129915384","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}
引用次数: 2
Lateral dynamic simulation of skid steered wheeled vehicle 滑移转向轮式车辆横向动力学仿真
2013 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2013-06-23 DOI: 10.1109/IVS.2013.6629612
Xueyuan Li, Zhang Yu, Jibin Hu, Chongbo Jing, Jing Guo
{"title":"Lateral dynamic simulation of skid steered wheeled vehicle","authors":"Xueyuan Li, Zhang Yu, Jibin Hu, Chongbo Jing, Jing Guo","doi":"10.1109/IVS.2013.6629612","DOIUrl":"https://doi.org/10.1109/IVS.2013.6629612","url":null,"abstract":"Skid steering is different from the traditional Ackermann steering. Skid steering vehicles don't turn by swinging the wheel, but by changing the wheels' rotational speed of the either side. Skid steering has been applied to various intelligent vehicles because it has advantages in mobility and general layout. To study the steering performance of skid-steered wheeled vehicles, a three degree of freedom skid steering dynamic model is established. The load transfer and the effects of vehicle parameters on steering performance are considered in simulation. The result shows that the stability is influenced by the type of steering input, turning radius and vehicle forward speed.","PeriodicalId":251198,"journal":{"name":"2013 IEEE Intelligent Vehicles Symposium (IV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129296822","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}
引用次数: 5
A lane marking extraction approach based on Random Finite Set Statistics 一种基于随机有限集统计的车道标记提取方法
2013 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2013-06-23 DOI: 10.1109/IVS.2013.6629620
Feihu Zhang, H. Stahle, Chao Chen, C. Buckl, A. Knoll
{"title":"A lane marking extraction approach based on Random Finite Set Statistics","authors":"Feihu Zhang, H. Stahle, Chao Chen, C. Buckl, A. Knoll","doi":"10.1109/IVS.2013.6629620","DOIUrl":"https://doi.org/10.1109/IVS.2013.6629620","url":null,"abstract":"Within the past few years, lane detection technology has become of high interest in the field of intelligent vehicles; however, robustness is still an issue. The challenge is to extract the lane markings effectively from the complex urban environment. In this paper, we present a novel approach based on Random Finite Set Statistics for estimating the position of lane markings. We rely on Probability Hypothesis Density (PHD) filtering and apply this technique to lane marking extraction in urban environment. Our method is based on two phases: an image preprocessing phase to extract pixels that potentially represent lanes and a tracking phase to identify lane markings. Compared to other approaches, our method presents a recursive filtering algorithm which extracts lane markings in the presence of clutter and non-lane markings. The experimental results exhibit the high performance of the proposed approach under various scenarios.","PeriodicalId":251198,"journal":{"name":"2013 IEEE Intelligent Vehicles Symposium (IV)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130614529","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}
引用次数: 14
Extending driving simulator capabilities toward Hardware-in-the-Loop testbeds and remote vehicle interfaces 将驾驶模拟器功能扩展到硬件在环测试平台和远程车辆接口
2013 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2013-06-23 DOI: 10.1109/IVS.2013.6629458
K. Swanson, A. Brown, S. Brennan, C. M. LaJambe
{"title":"Extending driving simulator capabilities toward Hardware-in-the-Loop testbeds and remote vehicle interfaces","authors":"K. Swanson, A. Brown, S. Brennan, C. M. LaJambe","doi":"10.1109/IVS.2013.6629458","DOIUrl":"https://doi.org/10.1109/IVS.2013.6629458","url":null,"abstract":"This paper describes the development of a Hardware-in-the-Loop (HIL) driving simulator designed with ROS and Gazebo. An analysis of current driving simulator software is conducted focusing on the requirements for HIL simulators versus traditional simulator implementations. Finally, the process for implementing an open-source HIL-centric driving simulator is documented, along with an analysis of system performance emphasizing metrics of system latency and strategies to minimize inter-hardware delays.","PeriodicalId":251198,"journal":{"name":"2013 IEEE Intelligent Vehicles Symposium (IV)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121287211","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}
引用次数: 10
Predicting Velocity Profiles of Road Users at Intersections Using Configurations 使用配置预测十字路口道路使用者的速度分布
2013 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2013-06-23 DOI: 10.1109/IVS.2013.6629588
Matthias Platho, H. Groß, J. Eggert
{"title":"Predicting Velocity Profiles of Road Users at Intersections Using Configurations","authors":"Matthias Platho, H. Groß, J. Eggert","doi":"10.1109/IVS.2013.6629588","DOIUrl":"https://doi.org/10.1109/IVS.2013.6629588","url":null,"abstract":"Intersections are among the most complex traffic situations that motorists encounter, which is reflected by the fact that in Europe more than 40 percent of accidents resulting in injury occur at intersections. In order to support the driver in crossing an intersection an advanced driver assistance system is required to predict the behavior of other drivers, like acceleration and braking maneuvers, as accurately as possible. Such a prediction is a challenging task when considering the complexity and variability of situations encountered at urban intersections. We propose to tackle this problem using a two-staged approach. In the first stage the situation is decomposed into small, more manageable sets of related road users to prevent a combinatorial explosion of possibilities. For each set the road user's driving situation is estimated. In the second stage the velocity profiles of all road users are predicted, taking advantage of the previously estimated driving situation by employing prediction models that are specific to the situation type. The proposed method is evaluated on a simulated intersection situation where the two-staged approach clearly outperforms prediction methods that work without assessing driving situations first. We also show qualitative results on real-world data that confirm the benefits of our approach.","PeriodicalId":251198,"journal":{"name":"2013 IEEE Intelligent Vehicles Symposium (IV)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132553046","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}
引用次数: 15
Low speed maneuvering assistance for long vehicle combinations 低速机动辅助长车辆组合
2013 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2013-06-23 DOI: 10.1109/IVS.2013.6629532
C. Hoel, P. Falcone
{"title":"Low speed maneuvering assistance for long vehicle combinations","authors":"C. Hoel, P. Falcone","doi":"10.1109/IVS.2013.6629532","DOIUrl":"https://doi.org/10.1109/IVS.2013.6629532","url":null,"abstract":"This paper considers a low speed maneuvering problem for long articulated vehicle combinations. High precision maneuvering is achieved by designing a model-based state feedback optimal control method, commanding the steering of the first unit and a moveable coupling point between the first unit and the trailer. Simulation results are presented for a tight 90 degree turn, involving both forward and backward motions.","PeriodicalId":251198,"journal":{"name":"2013 IEEE Intelligent Vehicles Symposium (IV)","volume":"232 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134130014","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}
引用次数: 6
Interactive risky behavior model for 3-car overtaking scenario using joint Bayesian network 基于联合贝叶斯网络的三车超车情景交互风险行为模型
2013 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2013-06-23 DOI: 10.1109/IVS.2013.6629642
O. Karaduman, H. Eren, H. Kürüm, M. Celenk
{"title":"Interactive risky behavior model for 3-car overtaking scenario using joint Bayesian network","authors":"O. Karaduman, H. Eren, H. Kürüm, M. Celenk","doi":"10.1109/IVS.2013.6629642","DOIUrl":"https://doi.org/10.1109/IVS.2013.6629642","url":null,"abstract":"In this paper, we propose a new model for 3-car interactive risky behavior of vehicles travelling in front and behind of a driver (overtaken) car. Following distance of vehicles moving in front and at rear end of the car in question plays an important role for overtaking scenario. Moreover, the distance between the car in front and the vehicle following it should be sufficiently long for preventing collision if overtaking is inevitable for the motorist behind the middle subject vehicle. Here, we consider the roles of the vehicles involved in such a scenario. We observe the behaviors of moving vehicles in front and the rear end of the subject car. To this end, front and rear car images are acquired by two cameras and subjected to vertical and horizontal optical flow edge map creation. In classification stage of the optical flow edge map clusters, a motion vector histogram thresholding method is utilized in conjunction with a decision assessment strategy based on the joint Bayesian belief network statistical model. In turn, not only the trajectories of the cars are captured but also joint behavior of three cars over-taken scenario is estimated using the proposed interactive risk model.","PeriodicalId":251198,"journal":{"name":"2013 IEEE Intelligent Vehicles Symposium (IV)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131762336","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}
引用次数: 14
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