2015 IEEE 18th International Conference on Intelligent Transportation Systems最新文献_第6页

3D Lane Boundary Tracking Using Local Linear Segments 使用局部线性段的三维车道边界跟踪

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.399

M. Schmidt, U. Hofmann, Stephan Neumaier

引用次数: 1

Detection and Tracking of Moving Objects Using 2.5D Motion Grids 基于2.5D运动网格的运动目标检测与跟踪

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.133

A. Asvadi, P. Peixoto, U. Nunes

{"title":"Detection and Tracking of Moving Objects Using 2.5D Motion Grids","authors":"A. Asvadi, P. Peixoto, U. Nunes","doi":"10.1109/ITSC.2015.133","DOIUrl":"https://doi.org/10.1109/ITSC.2015.133","url":null,"abstract":"Autonomous vehicles require a reliable perception of their environment to operate in real-world conditions. Awareness of moving objects is one of the key components for the perception of the environment. This paper proposes a method for detection and tracking of moving objects (DATMO) in dynamic environments surrounding a moving road vehicle equipped with a Velodyne laser scanner and GPS/IMU localization system. First, at every time step, a local 2.5D grid is built using the last sets of sensor measurements. Along time, the generated grids combined with localization data are integrated into an environment model called local 2.5D map. In every frame, a 2.5D grid is compared with an updated 2.5D map to compute a 2.5D motion grid. A mechanism based on spatial properties is presented to suppress false detections that are due to small localization errors. Next, the 2.5D motion grid is post-processed to provide an object level representation of the scene. The detected moving objects are tracked over time by applying data association and Kalman filtering. The experiments conducted on different sequences from KITTI dataset showed promising results, demonstrating the applicability of the proposed method.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125668823","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: 42

Segmenting Highway Network Based on Speed Profiles 基于速度剖面的公路网分段

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.469

Russel Aziz, Manav Kedia, Soham Dan, S. Sarkar, Sudeshna Mitra, Pabitra Mitra

引用次数: 3

Cooperative Intersection Collision Avoidance in a Constrained Communication Environment 约束通信环境下的协同交叉口避碰

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.70

A. Colombo, H. Wymeersch

引用次数: 8

Multi-resolution-Modeling for Testing and Evaluation of VANET Applications VANET应用测试与评估的多分辨率建模

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.64

M. Schiller, Thomas Behrens, A. Knoll

引用次数: 4

Vision-Based Road Sign Detection 基于视觉的道路标志检测

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.89

Manuel Kehl, M. Enzweiler, B. Fröhlich, Uwe Franke, W. Heiden

引用次数: 5

A Real-Time Multi-scale Vehicle Detection and Tracking Approach for Smartphones 基于智能手机的实时多尺度车辆检测与跟踪方法

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.213

Eduardo Romera, L. Bergasa, R. Arroyo

引用次数: 24

Merging Driver Assistance Decision System Using Occupancy Grid-Based Traffic Situation Representation 基于占用网格的合并驾驶辅助决策系统

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.47

Kenan Mu, F. Hui, Xiangmo Zhao

引用次数: 1

Safe and Efficient Runtime Resource Management in Heterogeneous Systems for Automated Driving 安全高效的异构自动驾驶系统运行时资源管理

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.67

Jan Micha Borrmann, Frederik Haxel, A. Viehl, O. Bringmann, W. Rosenstiel

{"title":"Safe and Efficient Runtime Resource Management in Heterogeneous Systems for Automated Driving","authors":"Jan Micha Borrmann, Frederik Haxel, A. Viehl, O. Bringmann, W. Rosenstiel","doi":"10.1109/ITSC.2015.67","DOIUrl":"https://doi.org/10.1109/ITSC.2015.67","url":null,"abstract":"In this paper, we present a novel runtime resource management approach that obeys automotive safety constraints. We specifically target emerging heterogeneous embedded plat-forms which promise potential to ease the ever-growing gap between demanded processing power and feasible efficient em-bedded realization of modern assistance systems by allowing both, hardware and software implementations of automotive driver assistance tasks. Our approach proposes runtime concepts that are mandatory for efficiently utilizing those heterogeneous architectures, specifically taking into account hard automotive safety requirements. Our dynamic management is complemented by a fail-operational scheme that ensures permanent safe vehicle operation. For evaluation, we implement a modern heterogeneous embedded platform as both, an in-vehicle prototype platform using a near-series CMOS sensor and as hardware-in-the-loop prototype, concurrently executing two complex assistance applications, a traffic light recognition and a traffic sign recognition, demonstrating the feasibility of our approach.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133889964","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

Mitigating Bunching with Bus-following Models and Bus-to-Bus Cooperation 通过总线跟随模型和总线对总线的合作来减少拥挤

2015 IEEE 18th International Conference on Intelligent Transportation Systems Pub Date : 2015-09-15 DOI: 10.1109/ITSC.2015.18

K. Ampountolas, Malcolm Kring

{"title":"Mitigating Bunching with Bus-following Models and Bus-to-Bus Cooperation","authors":"K. Ampountolas, Malcolm Kring","doi":"10.1109/ITSC.2015.18","DOIUrl":"https://doi.org/10.1109/ITSC.2015.18","url":null,"abstract":"Bus bunching is an instability problem where buses operating on high frequency public transport lines arrive at stops in bunches. In this work, we unveil that bus-following models can be used to design bus-to-bus cooperative control strategies and mitigate bunching. The use of bus-following models avoids the explicit modelling of bus-stops, which would render the resulting problem discrete, with events occurring at arbitrary time intervals. In a \"follow-the-leader\" two-bus system, bus-to-bus communication allows the driver of the following bus to observe (from a remote distance) the position and speed of a lead bus operating in the same transport line. The information transmitted from the lead bus is then used to control the speed of the follower to eliminate bunching. In this context, we first propose practical linear and nonlinear control laws to regulate space headways and speeds, which would lead to bunching cure. Then a combined state estimation and remote control scheme, which is based on the Linear-Quadratic Gaussian theory, is developed to capture the effect of bus stops, traffic disturbances, and randomness in passenger arrivals. To investigate the behaviour and performance of the developed approaches the 9-km 1-California line in San Francisco with about 50 arbitrary spaced bus stops is used. Simulations with real passenger data obtained from the San Francisco Municipal Transportation Agency are carried out. Results show bunching avoidance and significant improvements in terms of schedule reliability of bus services and delays. The proposed control is robust, scalable in terms of public transport network size, and thus easy to implement in real-world settings.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133979609","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: 18