Navigation Safety Early Warning Method Based on CBR and Millimeter Wave Radar

被引：1

作者：

Su, Wenming ^{[1
]}

机构：

[1] Jiangsu Maritime Inst, Coll Marine Nav, Nanjing 211170, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF THE 2021 FIFTH INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC 2021) | 2021年

关键词：

Navigation; CBR Technology; Millimeter Wave Radar; Safety Warning;

D O I：

10.1109/I-SMAC52330.2021.9640991

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The current navigation safety early warning methods and the established navigation safety early warning system are difficult to provide accurate early warning of navigation safety, resulting in inaccurate warning and navigation safety results. Therefore, in view of this problem, the navigation safety early warning based on CBR and millimeter wave radar is studied. Make full use of the CBR case reasoning function, analyze the distribution law analysis index and cause analysis index of navigation traffic accidents, and calculate the index weight in the system. Design the navigation safety early warning neural network to complete the navigation safety early warning. Experimental results show that, compared with other methods, the navigation safety early warning method studied in this research can accurately warn navigation safety.

引用

页码：1706 / 1709

页数：4

共 24 条

[1]

Automot ive Research Department, 2014, GLOB CHIN ADV DRIV A

[2] The DARPA Grand Challenge: Overview of the Virginia Tech vehicle and experience [J].

Bacha, A ;

Reinholtz, C ;

Wicks, A ;

Fleming, M ;

Naik, A ;

Avitabile, M ;

Elder, N .

ITSC 2004: 7TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, PROCEEDINGS, 2004, :481-486

[3]

Behringer R, 2005, 2005 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC), P644

[4] Terrain perception for DEMO III [J].

Bellutta, P ;

Manduchi, R ;

Matthies, L ;

Owens, K ;

Rankin, A .

PROCEEDINGS OF THE IEEE INTELLIGENT VEHICLES SYMPOSIUM 2000, 2000, :326-331

[5] GOLD: A parallel real-time stereo vision system for generic obstacle and lane detection [J].

Bertozzi, M ;

Broggi, A .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 1998, 7 (01) :62-81

[6] Architectural issues on vision-based automatic vehicle guidance: The experience of the ARGO project [J].

Broggi, A ;

Bertozzi, M ;

Fascioli, A .

REAL-TIME IMAGING, 2000, 6 (04) :313-324

[7]

Chen Q, 2004, IEEE INTELL SYST, V19, P8

[8]

Cheng Hong, 2003, Journal of Xi'an Jiaotong University, V37, P812

[9]

Cheng Hong, 2005, VEHICLE ACTIVE SAFET, P155

[10]

Dagan E, 2004, 2004 IEEE INTELLIGENT VEHICLES SYMPOSIUM, P37

← 1 2 3 →