DENSE: Environment Perception in Bad Weather—First Results

Werner Ritter; Mario  Bijelic; Tobias Gruber; Matti Kutila; Hanno Holzhüter

doi:10.1007/978-3-030-14156-1_12

DENSE: Environment Perception in Bad Weather—First Results

Werner Ritter (Corresponding author), Mario Bijelic, Tobias Gruber, Matti Kutila, Hanno Holzhüter

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review

6 Citations (Scopus)

Abstract

This paper presents the first results of the publicly funded ECSEL project DENSE (Adverse weather environmental sensing system). DENSE seeks to eliminate one of the most pressing problems of automated driving: the inability of current systems to sense their surroundings under all weather conditions. The task in DENSE is to develop a sensor suite for automatic driving, by means of which the vehicle environment can be reliably detected 24/7 under these bad weather conditions. In this paper, the state of the art of environmental sensor technology is first examined and evaluated in the CEREMA weather chamber. Then, the architecture of the DENSE Sensor Suite is presented and the development results of the most important system components are described. The results show that the realization of a 24/7 all-weather sensor suite is absolutely feasible with these components .

Original language	English
Title of host publication	Lecture Notes in Mobility
Editors	J. Langheim
Publisher	Springer
Chapter	Autonomous Driving, IoT and Data Processing
Pages	143-159
Number of pages	17
ISBN (Electronic)	978-3-030-14156-1
ISBN (Print)	978-3-030-14155-4
DOIs	https://doi.org/10.1007/978-3-030-14156-1_12
Publication status	Published - 1 May 2019
MoE publication type	A3 Part of a book or another research book
Event	5th CESA Automotive Electronics Congress - Paris, France Duration: 5 Dec 2018 → 6 Dec 2018

Publication series

Series	Lecture Notes in Mobility
ISSN	2196-5544

Conference

Conference	5th CESA Automotive Electronics Congress
Country/Territory	France
City	Paris
Period	5/12/18 → 6/12/18

Keywords

ADAS
automated driving
lidar
SWIR
neural networks
gated camera
adverse weather

Access to Document

10.1007/978-3-030-14156-1_12

Cite this

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abstract = "This paper presents the first results of the publicly funded ECSEL project DENSE (Adverse weather environmental sensing system). DENSE seeks to eliminate one of the most pressing problems of automated driving: the inability of current systems to sense their surroundings under all weather conditions. The task in DENSE is to develop a sensor suite for automatic driving, by means of which the vehicle environment can be reliably detected 24/7 under these bad weather conditions. In this paper, the state of the art of environmental sensor technology is first examined and evaluated in the CEREMA weather chamber. Then, the architecture of the DENSE Sensor Suite is presented and the development results of the most important system components are described. The results show that the realization of a 24/7 all-weather sensor suite is absolutely feasible with these components .",

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author = "Werner Ritter and Mario Bijelic and Tobias Gruber and Matti Kutila and Hanno Holzh{\"u}ter",

note = "Funding Information: We would like to express our gratitude to the whole DENSE project (Grant Agreement number: 692449) Consortium for fruitful discussions on the designing of the DENSE architecture and its components. The project has been co-funded by ECSEL Joint Undertaking and national funding agencies like Business Finland and Federal Ministry of Education and Research in Germany. Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 5th CESA Automotive Electronics Congress ; Conference date: 05-12-2018 Through 06-12-2018",

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N1 - Funding Information: We would like to express our gratitude to the whole DENSE project (Grant Agreement number: 692449) Consortium for fruitful discussions on the designing of the DENSE architecture and its components. The project has been co-funded by ECSEL Joint Undertaking and national funding agencies like Business Finland and Federal Ministry of Education and Research in Germany. Publisher Copyright: © 2019, Springer Nature Switzerland AG.

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AB - This paper presents the first results of the publicly funded ECSEL project DENSE (Adverse weather environmental sensing system). DENSE seeks to eliminate one of the most pressing problems of automated driving: the inability of current systems to sense their surroundings under all weather conditions. The task in DENSE is to develop a sensor suite for automatic driving, by means of which the vehicle environment can be reliably detected 24/7 under these bad weather conditions. In this paper, the state of the art of environmental sensor technology is first examined and evaluated in the CEREMA weather chamber. Then, the architecture of the DENSE Sensor Suite is presented and the development results of the most important system components are described. The results show that the realization of a 24/7 all-weather sensor suite is absolutely feasible with these components .

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KW - automated driving

KW - lidar

KW - SWIR

KW - neural networks

KW - gated camera

KW - adverse weather

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DENSE: Environment Perception in Bad Weather—First Results

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