OBJECT TRACKING AND CLASSIFICATION FORINTERSECTION SCENARIOS USING A MULTILAYERLASERSCANNER

机译：使用多层激光扫描仪进行交叉场景的目标跟踪和分类

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This paper describes a system which provides information for future driver assistantrnapplications using a multilayer Laserscanner. The system creates a consistent model basedrndescription of the vehicle's environment. High speed object detection and high performancernobject tracking and classification algorithms for real-time data processing are presented.rnMoreover, an improved calculation method of orientation for non moving road users isrnprovided.

机译：本文介绍了一种系统，该系统使用多层Laserscanner为将来的驾驶员辅助应用程序提供信息。该系统创建基于一致模型的车辆环境描述。提出了一种用于实时数据处理的高速目标检测和高性能目标跟踪与分类算法。此外，提供了一种改进的非移动道路用户方位计算方法。

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来源
《World congress on ITS (Intelligent Transportation Society)》|2004年|1-8|共8页
会议地点 Nagoya(JP)
作者
Stefan Wender; Kay Ch. Fuerstenberg; Klaus Dietmayer;
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作者单位

Department of Measurement, Control and MicrotechnologyrnUniversity of Ulm, Albert-Einstein-Allee 41, D-89081 Ulm, Germanyrnstefan.wender@e-technik.uni-ulm.de;

Department of Measurement, Control and MicrotechnologyrnUniversity of Ulm, Albert-Einstein-Allee 41, D-89081 Ulm, Germany;

Department of Measurement, Control and MicrotechnologyrnUniversity of Ulm, Albert-Einstein-Allee 41, D-89081 Ulm, Germany;

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2. Single-Object Tracking Algorithm Based on Two-Step Spatiotemporal Deep Feature Fusion in a Complex Surveillance Scenario [J] . Yanyan Chen, Rui Sheng Mathematical Problems in Engineering: Theory, Methods and Applications . 2021,第a期

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3. Online Multi-Object Tracking Using Joint Domain Information in Traffic Scenarios [J] . IEEE Transactions on Intelligent Transportation Systems . 2020,第1期

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4. A framework for object detection, tracking and classification in urban traffic scenarios using stereovision [C] . IEEE International Conference on Intelligent Computer Communication and Processing . 2009

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5. Invariant object detection and tracking with hierarchical coarse-to-fine classification. [D] . Gangaputra, Sachin. 2006

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6. Analytic Performance Prediction of Track-to-Track Association with Biased Data in Multi-Sensor Multi-Target Tracking Scenarios [O] . Wei Tian, Yue Wang, Xiuming Shan, 2013

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7. Towards Multi-Object Detection and Tracking in Urban Scenario under Uncertainties [O] . Kampker, Achim, Sefati, Mohsen, Rachman, Arya Abdul, 2018

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OBJECT TRACKING AND CLASSIFICATION FORINTERSECTION SCENARIOS USING A MULTILAYERLASERSCANNER

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