2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)最新文献_第2页

Modularized control algorithm for automated material handling systems 自动化物料搬运系统的模块化控制算法

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2016-11-01 DOI: 10.1109/ITSC.2016.7795981

M. Spindler, T. Aicher, D. Schütz, B. Vogel‐Heuser, W. Günthner

引用次数: 12

Trajectory Bayesian indexing: The airport ground traffic case 轨迹贝叶斯索引:机场地面交通案例

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2016-11-01 DOI: 10.1109/ITSC.2016.7795685

Cynthia Delauney, Nicolas Baskiotis, Vincent Guigue

引用次数: 2

Optimization of system parameters for an online driving style recognition 在线驾驶风格识别系统参数优化

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2016-11-01 DOI: 10.1109/ITSC.2016.7795571

Dominik Dörr, Konstantin D. Pandl, F. Gauterin

{"title":"Optimization of system parameters for an online driving style recognition","authors":"Dominik Dörr, Konstantin D. Pandl, F. Gauterin","doi":"10.1109/ITSC.2016.7795571","DOIUrl":"https://doi.org/10.1109/ITSC.2016.7795571","url":null,"abstract":"An online driving style recognition system using fuzzy logic has recently proven to work well and showed potential to optimize its parameters. This paper is about the efficient parameter optimization of such a system. To overcome combinatorial explosion, we introduce heuristics to express the main influential parameters of the system, which itself is divided into two layers. First, we use a method called Design of Experiments in order to identify the most important parameters of general high-level system parameters. The low-level layer consists of fuzzy logic systems, which are the core of the driving style recognition system. For this, we introduce a way to efficiently describe the main characteristics of a fuzzy system by very few parameters. Both sets of identified parameters are then separately optimized with an established multidimensional evolutionary algorithm. We show that using Design of Experiments is superior to a random selection of the high-level parameters, as it increases the optimization gain by 76.5% in average. All in all, the target function, which represents a weighted classification error, was reduced by 43.9% on the test data set. The optimization method can be used to calibrate the system on real-world driving data. The combination of Design of Experiments, evolutionary optimization and fuzzy logic parametrization can also be used to optimize arbitrary other complex nonlinear systems.","PeriodicalId":189845,"journal":{"name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117192447","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

Reconstruction of public transport state 重建公共交通状态

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2016-11-01 DOI: 10.1109/ITSC.2016.7795925

Alessio Pagani, F. Bruschi, V. Rana, Marcello Restelli

引用次数: 4

3D object tracking in driving environment: A short review and a benchmark dataset 驾驶环境中的三维目标跟踪:简要回顾和基准数据集

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2016-11-01 DOI: 10.1109/ITSC.2016.7795523

P. Girão, A. Asvadi, P. Peixoto, U. Nunes

{"title":"3D object tracking in driving environment: A short review and a benchmark dataset","authors":"P. Girão, A. Asvadi, P. Peixoto, U. Nunes","doi":"10.1109/ITSC.2016.7795523","DOIUrl":"https://doi.org/10.1109/ITSC.2016.7795523","url":null,"abstract":"Research in autonomous driving has matured significantly with major automotive companies making important efforts to have their autonomous or highly automated cars available in the near future. As driverless cars move from laboratories to complex real-world environments, the perception capabilities of these systems to acquire, model and interpret the 3D spatial information must become more robust. Object tracking is one of the challenging problems of autonomous driving in 3D dynamic environments. Although different approaches are proposed for object tracking with demonstrated success in driving environments, it is very difficult to evaluate and compare them because they are defined with various constraints and boundary conditions. The appearance modeling for object tracking in the driving environments, using a multimodal perception system of autonomous cars and advanced driver assistance systems (ADASs), and the evaluation of such object trackers are the research focus of this paper. A benchmark dataset, called 3D Object Tracking in Driving Environment (3D-OTD), is also proposed to facilitate the evaluation of object appearance modeling in object tracking methods.","PeriodicalId":189845,"journal":{"name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121011238","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

Photometric laser scanner to camera calibration for low resolution sensors 光度激光扫描仪到相机的低分辨率传感器标定

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2016-11-01 DOI: 10.1109/ITSC.2016.7795764

J. Grater, T. Strauß, M. Lauer

引用次数: 5

Motion planning for urban autonomous driving using Bézier curves and MPC 基于bsamzier曲线和MPC的城市自动驾驶运动规划

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2016-11-01 DOI: 10.1109/ITSC.2016.7795651

Xiangjun Qian, Iñaki Navarro, A. D. L. Fortelle, F. Moutarde

引用次数: 51

Cooperative collision warning for driving assistance 辅助驾驶的协同碰撞警告

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2016-11-01 DOI: 10.1109/ITSC.2016.7795676

Andrés E. Gómez, S. Glaser, Y. Alayli, Arthur De Miranda Neto, D. Wolf

{"title":"Cooperative collision warning for driving assistance","authors":"Andrés E. Gómez, S. Glaser, Y. Alayli, Arthur De Miranda Neto, D. Wolf","doi":"10.1109/ITSC.2016.7795676","DOIUrl":"https://doi.org/10.1109/ITSC.2016.7795676","url":null,"abstract":"Whatever type of distraction during the driving of a vehicle can compromise the safety of not the driver, but also of all drivers present on the highway. Using the mobile while driving is the greatest examples of this problem at a global level. In this regard, a system that helps the driver improve and keep up the attention on the road, could be a solution. This paper proposes a cooperative assistance system which, through the use of communication among vehicles, exchanges messages with the objective to warn about the presence of other vehicles around an ego vehicle and assess the risk situation. This system was evaluated through the proposal of a new version of a simulation framework. This new version, besides considering a bidirectional communication among all the vehicles present in the communication coverage, also considers the time delay variation regarding the distance among vehicles. The results from the system simulation allowed us to observe the time delay effect in the proposed system through the assessment of three collision situations chosen for the tests. In this proposal, it was also possible find also a range of coverage distances for the warnings about other vehicles around of an ego vehicle.","PeriodicalId":189845,"journal":{"name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127533606","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: 7

Autonomous personal mobility scooter for multi-class mobility-on-demand service 自动个人移动踏板车，用于多等级按需移动服务

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2016-11-01 DOI: 10.1109/ITSC.2016.7795795

Hans Andersen, Y. Eng, Wei Kang Leong, Chen Zhang, Hai Xun Kong, S. Pendleton, M. Ang, D. Rus

引用次数: 25

Evaluating data communications in natural disaster scenarios using opportunistic networks with Unmanned Aerial Vehicles 利用无人机网络评估自然灾害场景下的数据通信

2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2016-11-01 DOI: 10.1109/ITSC.2016.7795748

J. Albuquerque, S. C. D. Lucena, C. A. V. Campos

引用次数: 14