Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

被引：1

作者：

Bogdan, Razvan ^{[1
]}

Crisan-Vida, Mihaela ^{[1
]}

Barmayoun, Darius ^{[2
,3
]}

Staicu, Loredana Lavinia ^{[1
,4
]}

Puiu, Robert Valentin ^{[1
,4
]}

Lup, Madalina ^{[1
,4
]}

Marcu, Marius ^{[1
]}

机构：

[1] Univ Politehn Timisoara, Fac Automat & Comp, Timisoara 300223, Romania

[2] Univ Politehn Timisoara, Res Ctr Engn & Management, Timisoara 300223, Romania

[3] Vitesco Technol Engn Romania, Timisoara 307285, Romania

[4] Hella Co, Timisoara 307200, Romania

来源：

SENSORS | 2021年 / 21卷 / 13期

关键词：

AUTOSAR optimization; radar sensor; remote testing; radar testing; memory usage; runtime measurements; ADAS; SOFTWARE; PERFORMANCE;

D O I：

10.3390/s21134561

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

New trends in the automotive industry such as autonomous driving and Car2X require a large amount of data to be exchanged between different devices. Radar sensors are key components in developing vehicles of the future, therefore these devices are used in a large spectrum of applications, where data traffic is of paramount importance. As a result, communication traffic volumes have become more complex, leading to the research of optimization approaches to be applied at the AUTOSAR level. Our paper offers such an optimization solution at the AUTOSAR communication level. The radar sensor is accessed in a remote manner, and the experiments aimed at performance measurements revealed that our solution is superior to the Full AUTOSAR implementation in terms of memory usage and runtime measurements.

引用

页数：27

共 50 条

[31] Verification of advanced driver assistance systems by application of reference systems
Zecha, Stephan
CAR SAFETY 2007: INNOVATIVE OCCUPANT AND PARTNER CRASH PROTECTION, 2007, 2013 : 113 - 127
[32] Design and Test of a communication based Advanced driver assistance System
Kroon, J
van Klaveren, R
Rothkrantz, L
de Bruin, D
Nelisse, M
2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 1326 - 1330
[33] Overview of End-to-End Event Chain in Advanced Driver-Assistance Software following AUTOSAR
Vulic, Marko
Popovic, Valentin T.
Davidovic, Aleksandra
Kastelan, Ivan
2019 IEEE 23RD INTERNATIONAL SYMPOSIUM ON CONSUMER TECHNOLOGIES (ISCT), 2019, : 308 - 312
[34] Communication requirements of future driver assistance systems in automobiles
Leohold, J
Schmidt, C
WFCS 2004: IEEE INTERNATIONAL WORKSHOP ON FACTORY COMMUNICATION SYSTEMS, PROCEEDINGS, 2004, : 167 - 174
[35] Impacts on Traffic Citations by Advanced Driver Assistance Systems
Penmetsa, Praveena
Dhondia, Sakina
Poptic, Stephen
Hudnall, Matthew
Parrish, Allen
Nambisan, Shashi
INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2023: TRANSPORTATION SAFETY AND EMERGING TECHNOLOGIES, 2023, : 328 - 339
[36] Endowing advanced driver assistance systems with fault tolerance
Houben, C.
Houben, S.
ANNUAL REVIEWS IN CONTROL, 2015, 39 : 58 - 67
[37] Networked environment description for advanced driver assistance systems
Tischler, K
Clauss, M
Guenter, Y
Kaempchen, N
Schreier, RM
Stiegeler, MM
2005 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC), 2005, : 785 - 790
[38] Pedestrian Collision Warning of Advanced Driver Assistance Systems
Kuo, Ying-Che
Fu, Ci-Ming
Tsai, Cheng-Tao
Lin, Chun-Cheng
Chang, Chih-Hao
2016 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C), 2016, : 740 - 743
[39] IR pedestrian detection for advanced driver assistance systems
Bertozzi, M
Broggi, A
Carletti, M
Fascioli, A
Graf, T
Grisleri, P
Meinecke, M
PATTERN RECOGNITION, PROCEEDINGS, 2003, 2781 : 582 - 590
[40] Design Concept and Method of Advanced Driver Assistance Systems
Li, Lin
Zhu, Xichan
2013 FIFTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2013), 2013, : 434 - 437

← 1 2 3 4 5 →