Automatic recognition of driving scenarios for ADAS design

被引：8

作者：

Lucchetti, Alberto ^{[1
]}

Ongini, Carlo ^{[1
]}

Formentin, Simone ^{[1
]}

Savaresi, Sergio M. ^{[1
]}

Del Re, Luigi ^{[2
]}

机构：

[1] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, Via G Ponzio 34-5, I-20133 Milan, Italy

[2] Johannes Kepler Univ Linz, Inst Design & Control Mechatron Syst, Altenberger Str 69, A-4040 Linz, Austria

来源：

IFAC PAPERSONLINE | 2016年 / 49卷 / 11期

关键词：

ADAS; simulation; driving scenario detection;

D O I：

10.1016/j.ifacol.2016.08.017

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a method to characterize and automatically recognize the most common driving scenarios in on-road experiments is presented. The aim of the proposed approach is to build a suitable simulator to develop and test Advanced Driver Assistance Systems (ADAS's). Therefore, unlike most of the existing algorithms, the whole procedure takes advantage of the intrinsic off-line nature of the problem. Context-free grammars are shown to be an effective and suitable tool for modeling the driving scenarios, while experimental results are used to validate the proposed approach and show limits and potential of a real-world application. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：109 / 114

页数：6

共 12 条

[1]

[Anonymous], INT VEH S IV

[2]

Barth Alexander, 2010, 2010 13th International IEEE Conference on Intelligent Transportation Systems (ITSC 2010), P861, DOI 10.1109/ITSC.2010.5624969

[3]

Commission EU, 2001, 370 EU COMM, V370

[4] Driving task analysis as a tool in traffic safety research and practice [J].