A Model-Based Approach to Simulate Rain Effects on Automotive Surround Sensor Data

Sinan Hasirlioglu; Andreas Riener

doi:10.1109/ITSC.2018.8569907

A Model-Based Approach to Simulate Rain Effects on Automotive Surround Sensor Data

Sinan Hasirlioglu, Andreas Riener

Institute of Pervasive Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Intelligent vehicles use surround sensors to perceive their local environment. However, already small errors in sensor data measurement and interpretation can lead to severe accidents, thus, testing the reliability of sensors and safety systems before market introduction is of high importance. The downside of real-world testing is that the increasing complexity of safety systems results in ...

Original language	English
Title of host publication	21st International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, HI, USA, November 4-7, 2018
Publisher	IEEE
Pages	2609-2615
Number of pages	7
DOIs	https://doi.org/10.1109/ITSC.2018.8569907
Publication status	Published - Nov 2018

Fields of science

202017 Embedded systems
102 Computer Sciences
102009 Computer simulation
102013 Human-computer interaction
102019 Machine learning
102020 Medical informatics
102021 Pervasive computing
102022 Software development
102025 Distributed systems
211902 Assistive technologies
211912 Product design

JKU Focus areas

Computation in Informatics and Mathematics
Engineering and Natural Sciences (in general)

Access to Document

10.1109/ITSC.2018.8569907

Cite this

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title = "A Model-Based Approach to Simulate Rain Effects on Automotive Surround Sensor Data",

abstract = "Intelligent vehicles use surround sensors to perceive their local environment. However, already small errors in sensor data measurement and interpretation can lead to severe accidents, thus, testing the reliability of sensors and safety systems before market introduction is of high importance. The downside of real-world testing is that the increasing complexity of safety systems results in ...",

author = "Sinan Hasirlioglu and Andreas Riener",

year = "2018",

month = nov,

doi = "10.1109/ITSC.2018.8569907",

language = "English",

pages = "2609--2615",

booktitle = "21st International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, HI, USA, November 4-7, 2018",

publisher = "IEEE",

}

A Model-Based Approach to Simulate Rain Effects on Automotive Surround Sensor Data. / Hasirlioglu, Sinan; Riener, Andreas.
21st International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, HI, USA, November 4-7, 2018. IEEE, 2018. p. 2609-2615 8569907.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - A Model-Based Approach to Simulate Rain Effects on Automotive Surround Sensor Data

AU - Hasirlioglu, Sinan

AU - Riener, Andreas

PY - 2018/11

Y1 - 2018/11

N2 - Intelligent vehicles use surround sensors to perceive their local environment. However, already small errors in sensor data measurement and interpretation can lead to severe accidents, thus, testing the reliability of sensors and safety systems before market introduction is of high importance. The downside of real-world testing is that the increasing complexity of safety systems results in ...

AB - Intelligent vehicles use surround sensors to perceive their local environment. However, already small errors in sensor data measurement and interpretation can lead to severe accidents, thus, testing the reliability of sensors and safety systems before market introduction is of high importance. The downside of real-world testing is that the increasing complexity of safety systems results in ...

U2 - 10.1109/ITSC.2018.8569907

DO - 10.1109/ITSC.2018.8569907

M3 - Conference proceedings

SP - 2609

EP - 2615

BT - 21st International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, HI, USA, November 4-7, 2018

PB - IEEE

ER -