EMS-vision: Application to hybrid adaptive cruise control

被引：13

作者：

Hofmann, U ^{[1
]}

Rieder, A ^{[1
]}

Dickmanns, ED ^{[1
]}

机构：

[1] Univ Bundeswehr Munchen, Inst Syst Dynam & Flugmech, D-85577 Neubiberg, Germany

来源：

PROCEEDINGS OF THE IEEE INTELLIGENT VEHICLES SYMPOSIUM 2000 | 2000年

关键词：

road recognition; vehicle recognition; dynamic machine vision; adaptive cruise control;

D O I：

10.1109/IVS.2000.898387

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This article presents a system for hybrid adaptive cruise control (HACC) on high speed roads designed as a combination of a radar-based ACC and visual perception. The system is conceived to nln on different performance levels depending on the perception abilities. The advantages of a combination of the two sensor types are discussed in comparison to the shortcomings of each single sensor type. A description of the visual lane defection and tracking procedure is given, followed by an overview of the vehicle detection, hypothesis generation and tracking procedure. Afterwards, the assignment of vehicles to lanes and the determination of the relevant vehicle for the longitudinal controller is described.

引用

页码：468 / 473

页数：6

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