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 proceedingChapter or book articleScientificpeer-review


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 languageEnglish
Title of host publicationElectronic Components and Systems for Automotive Applications
EditorsJ. Langheim
ChapterAutonomous Driving, IoT and Data Processing
Number of pages17
ISBN (Electronic)978-3-030-14156-1
ISBN (Print)978-3-030-14155-4
Publication statusPublished - 1 May 2019
MoE publication typeA3 Part of a book or another research book
Event5th CESA Automotive Electronics Congress - Paris, France
Duration: 5 Dec 20186 Dec 2018

Publication series

SeriesLecture Notes in Mobility


Conference5th CESA Automotive Electronics Congress


  • ADAS
  • automated driving
  • lidar
  • SWIR
  • neural networks
  • gated camera
  • adverse weather

Fingerprint Dive into the research topics of 'DENSE: Environment Perception in Bad Weather—First Results'. Together they form a unique fingerprint.

Cite this