2018 21st International Conference on Intelligent Transportation Systems (ITSC)最新文献_第5页

Constrained Backward Path Tracking Control using a Plug-in Jackknife Prevention System for Autonomous Tractor-Trailers 基于插入式刀切预防系统的自主牵引车约束反向路径跟踪控制

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569262

Mohammad Hejase, Junbo Jing, John M. Maroli, Yasser Bin Salamah, L. Fiorentini, Ü. Özgüner

引用次数: 7

Environment Estimation with Dynamic Grid Maps and Self-Localizing Tracklets 基于动态网格地图和自定位轨道的环境估计

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569993

A. Vatavu, Nils Rexin, Simon Appel, Tobias Berling, Suresh Govindachar, Gunther Krehl, Janis Peukert, Manuel Schier, O. Schwindt, Jakob Siegel, Ch. Zalidis, Timo Rehfeld, Dominik Nuss, M. Maile, Sven Zimmermann, K. Dietmayer, A. Gern

{"title":"Environment Estimation with Dynamic Grid Maps and Self-Localizing Tracklets","authors":"A. Vatavu, Nils Rexin, Simon Appel, Tobias Berling, Suresh Govindachar, Gunther Krehl, Janis Peukert, Manuel Schier, O. Schwindt, Jakob Siegel, Ch. Zalidis, Timo Rehfeld, Dominik Nuss, M. Maile, Sven Zimmermann, K. Dietmayer, A. Gern","doi":"10.1109/ITSC.2018.8569993","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569993","url":null,"abstract":"Dynamic environment representation is an important and demanding topic in the field of autonomous driving. One of the generic ways to estimate the surrounding world of an intelligent vehicle is to use dynamic grid maps. However, there are still several unsolved challenges in the grid-based tracking solutions like the ability to converge faster and providing a more efficient way to fuse multi-sensorial information. In this work, we address both of these challenges as a single probabilistic estimator. First, we treat the grid map estimation process as a multi-channel tracking mechanism. In particular, we use a particle filter based solution to integrate both the occupancy and semantic grids. Second, we adapt the idea of simultaneous grid cell tracking and object shape estimation into the grid map domain and propose “self-localizing tracklets”, which are individual particle filter based estimators that are used for two main tasks: stabilizing the position estimation accuracy of dynamic cells with respect to the object boundary, and estimating a better object shape. The presented concepts offer an improved representation flexibility and a faster algorithm convergence.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124160030","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

Learning Traffic Light Colors 学习红绿灯的颜色

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569746

A. Fregin, K. Dietmayer

{"title":"Learning Traffic Light Colors","authors":"A. Fregin, K. Dietmayer","doi":"10.1109/ITSC.2018.8569746","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569746","url":null,"abstract":"Traffic light recognition is of great interest for advanced driver assistance systems and autonomous driving but still an unsolved problem. While a traffic light has few visual features for detection from camera images we believe the characteristic light represents a potentially very strong and stable feature. The traffic light is actively emitting light which is rarely influenced by weather or lighting condition. When using a color lookup table for an image segmentation-based object detector, the process of creating the lookup table is the crucial point. In this paper, we propose a method for generating a lookup table using real world data of a large dataset. The training data is sampled from labeled objects and stored as multisets. We contribute a frequency-based filtering method to clean the samples before using a k-nearest neighbor classifier to generalize. The result is stored as a three dimensional lookup table. The main contribution is a neighborhood-biasing technique that allows setting different operating points online without retraining. A challenging real world dataset containing several thousands of active lights is used to evaluate the process.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124351116","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

Learning to Attend to Salient Targets in Driving Videos Using Fully Convolutional RNN 学习使用全卷积RNN在驾驶视频中关注突出目标

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569438

Ashish Tawari, P. Mallela, Sujitha Martin

引用次数: 18

Distributed Simulation of Cooperatively Interacting Vehicles 协同交互车辆的分布式仿真

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8570010

C. Frohn, Petyo Ilov, S. Kriebel, Evgeny Kusmenko, Bernhard Rumpe, Alexander Ryndin

引用次数: 11

Multi-Object Tracking with Interacting Vehicles and Road Map Information 多目标跟踪与交互车辆和道路地图信息

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569701

A. Danzer, Fabian Gies, K. Dietmayer

引用次数: 5

Exploring the Use of Driver Attributes to Characterize Heterogeneity in Naturalistic Driving Behavior 探索使用司机属性来表征自然驾驶行为的异质性

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569497

Rachel James, Britton Hammit, Mohamed M. Ahmed

{"title":"Exploring the Use of Driver Attributes to Characterize Heterogeneity in Naturalistic Driving Behavior","authors":"Rachel James, Britton Hammit, Mohamed M. Ahmed","doi":"10.1109/ITSC.2018.8569497","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569497","url":null,"abstract":"Microsimulation models are powerful tools for exploring the impact of human driving behavior on the transportation system. One of the most heavily researched components of microsimulation models are car-following models, where human behavior is approximated using driver specific calibration coefficients. Inter-driver heterogeneity in calibration parameters has been observed in naturalistic data, but few studies have explored methods to characterize this heterogeneity. This research utilizes an 85-driver sample from the second Strategic Highway Research Program Naturalistic Driving Study dataset to calibrate over 100-hours of car-following data to three different car-following models: Gipps, Wiedemann 99, and Intelligent Driver Model. This enables a detailed exploration of the degree to which driver attributes—such as age, gender, and income—can be leveraged to account for inter-driver heterogeneity in car-following. The sample is segmented into smaller subsamples of data as a function of driver attributes. Statistically significant differences in parameter values are observed between the subsamples of data when age, miles driven last year, and income are used as characterizing traits. Moreover, it is shown that no single model outperforms the other models for all categories of data.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116438273","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: 3

Automotive LiDAR performance verification in fog and rain 雾雨条件下汽车激光雷达性能验证

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569624

M. Kutila, P. Pyykönen, H. Holzhuter, M. Colomb, Pierre Duthon

{"title":"Automotive LiDAR performance verification in fog and rain","authors":"M. Kutila, P. Pyykönen, H. Holzhuter, M. Colomb, Pierre Duthon","doi":"10.1109/ITSC.2018.8569624","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569624","url":null,"abstract":"This article focuses on testing and investigating further development needs for LiDARs in self-driving cars in adverse weather. The article compares two different LiDARs (Ibeo Lux and Velodyne PUCK), which both use the 905 nm wavelengths, which are used in more than 95% of currently available LiDARs. The performance was tested and estimated in stabilized fog conditions at Cerema fog chamber facilities. This provides a good basis for repeating the same validation procedure multiple times and ensuring the right development decisions. However, performance of the LiDARs suffers when the weather conditions become adverse and visibility range decreases. A 50% reduction in target detection performance was observed over the exhaustive tests. Therefore, changing to higher wavelengths (1550 nm) was considered using redesigned “pre-prototype LiDAR”. The preliminary results indicate that there is no reason to not use 1550 nm wavelength, which due to eye safety regulations gives an opportunity to use 20 times more power compared to the traditional 905 nm. In order to clarify the expected benefits, additional feasibility studies are still needed.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123457975","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: 102

Construction of the Driving Cycle of Vehicles Queuing at Toll Station 收费站排队车辆行驶周期的构建

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569284

Yuntao Chang, B. Su

引用次数: 2

Will Advanced Public Charging Infrastructure Speed Up Electrification of Future Transportation? 先进的公共充电基础设施会加速未来交通的电气化吗?

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569388

Fei Xie, Zhenhong Lin, Yan Zhou, Clément Rames, E. Wood, Eleftheria Kontou

引用次数: 3