European Commission logo
italiano italiano
CORDIS - Risultati della ricerca dell’UE
CORDIS

aDverse wEather eNvironmental Sensing systEm

Risultati finali

System needs and benchmarking

The use cases of the system and the validation criteria are defined.

Dissemination Report

Dissemination Report on the Dissemination activities carried out during the Project runtime.

Characteristics of Adverse Weather Conditions

The report describes how various weather conditions need to be taken into account for the evaluation of the all-weather sensor.

Dissemination plan

The deliverable describes the project’s dissemination and communication activities.

Overall system requirements

All-weather perception sensor suite scenarios, use cases and functional requirements are described.

Website

Project website is a communication means inside and outside the project. It is updated regularly.

Pubblicazioni

High-power 1550 nm tapered DBR laser diodes for LIDAR applications

Autori: Antti T. Aho, Jukka Viheriala, Jaakko Makela, Heikki Virtanen, Sanna Ranta, Mihail Dumitrescu, Mircea Guina
Pubblicato in: 2017 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), 2017, Pagina/e 1-1, ISBN 978-1-5090-6736-7
Editore: IEEE
DOI: 10.1109/CLEOE-EQEC.2017.8086373

1180 nm GaInNAs quantum well based high power DBR laser diodes

Autori: Jukka Viheriälä, Antti T. Aho, Heikki Virtanen, Mervi Koskinen, Michael Dumitrescu, Mircea Guina
Pubblicato in: High-Power Diode Laser Technology XV, 2017, Pagina/e 100860K
Editore: SPIE Photonics West 2017
DOI: 10.1117/12.2251317

A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?

Autori: Mario Bijelic, Tobias Gruber, Werner Ritter
Pubblicato in: 2018 IEEE Intelligent Vehicles Symposium (IV), 2018, Pagina/e 760-767, ISBN 978-1-5386-4452-2
Editore: IEEE
DOI: 10.1109/ivs.2018.8500543

Automotive LiDAR performance verification in fog and rain

Autori: M. Kutila, P. Pyykonen, H. Holzhuter, M. Colomb, P. Duthon
Pubblicato in: 2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018, Pagina/e 1695-1701, ISBN 978-1-7281-0323-5
Editore: IEEE
DOI: 10.1109/itsc.2018.8569624

Radar-based Feature Design and Multiclass Classification for Road User Recognition

Autori: Nicolas Scheiner, Nils Appenrodt, Jurgen Dickmann, Bernhard Sick
Pubblicato in: 2018 IEEE Intelligent Vehicles Symposium (IV), 2018, Pagina/e 779-786, ISBN 978-1-5386-4452-2
Editore: IEEE
DOI: 10.1109/ivs.2018.8500607

Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS

Autori: Nicolas Scheiner, Nils Appenrodt, Jurgen Dickmann, Bernhard Sick
Pubblicato in: 2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM), 2019, Pagina/e 1-5, ISBN 978-1-7281-0775-2
Editore: IEEE
DOI: 10.1109/icmim.2019.8726801

Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions

Autori: Pfeuffer, Andreas; Dietmayer, Klaus
Pubblicato in: 21st International Conference on Information Fusion (FUSION) 2018, Cambridge, UK, Numero 1, 2018
Editore: Cornell University

Robustness Against Unknown Noise for Raw Data Fusing Neural Networks

Autori: Mario Bijelic, Christian Muench, Werner Ritter, Yuri Kalnishkan, Klaus Dietmayer
Pubblicato in: 2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018, Pagina/e 2177-2184, ISBN 978-1-7281-0323-5
Editore: IEEE
DOI: 10.1109/itsc.2018.8569911

Learning Super-resolved Depth from Active Gated Imaging

Autori: Tobias Gruber, Mariia Kokhova, Werner Ritter, Norbert Haala, Klaus Dictmayer
Pubblicato in: 2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018, Pagina/e 3051-3058, ISBN 978-1-7281-0323-5
Editore: IEEE
DOI: 10.1109/itsc.2018.8569590

Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving

Autori: Mario Bijelic, Tobias Gruber, Werner Ritter
Pubblicato in: 2018 IEEE Intelligent Vehicles Symposium (IV), 2018, Pagina/e 1773-1779, ISBN 978-1-5386-4452-2
Editore: IEEE
DOI: 10.1109/ivs.2018.8500659

Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation

Autori: Florian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider, David Pfeiffer, Markus Enzweiler, Marius Zöllner
Pubblicato in: Lecture Notes in Computer Science, 2018
Editore: Cornell University

Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios

Autori: Tobias Gruber, Mario Bijelic, Felix Heide, Werner Ritter, Klaus Dietmayer
Pubblicato in: 2019 International Conference on 3D Vision (3DV), 2019, Pagina/e 95-105, ISBN 978-1-7281-3131-3
Editore: IEEE
DOI: 10.1109/3dv.2019.00020

Automated Ground Truth Estimation for Automotive Radar Tracking Applications With Portable GNSS And IMU Devices

Autori: Nicolas Scheiner, Stefan Haag, Nils Appenrodt, Bharanidhar Duraisamy, Jurgen Dickmann, Martin Fritzsche, Bernhard Sick
Pubblicato in: 2019 20th International Radar Symposium (IRS), 2019, Pagina/e 1-10, ISBN 978-3-7369-9860-5
Editore: IEEE
DOI: 10.23919/irs.2019.8768169

Separable Convolutional LSTMs for Faster Video Segmentation

Autori: Pfeuffer, Andreas; Dietmayer, Klaus
Pubblicato in: 2019 22st International Conference on Intelligent Transportation Systems (ITSC), Numero 4, 2019
Editore: IEEE

Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion

Autori: Andreas Pfeuffer, Klaus Dietmayer
Pubblicato in: 22st International Conference on Information Fusion (FUSION) (2019), 2019
Editore: 22st International Conference on Information Fusion (FUSION) (2019)

Angular Resolution Improvement by Using Multi-Radar and FBSS MUSIC DoA Estimation Algorithm

Autori: Henna Paaso, Mervi Hirvonen
Pubblicato in: 2019 IEEE Intelligent Vehicles Symposium (IV), 2019, Pagina/e 730-735, ISBN 978-1-7281-0560-4
Editore: IEEE
DOI: 10.1109/ivs.2019.8813780

Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles

Autori: Nicolas Scheiner, Nils Appenrodt, Jurgen Dickmann, Bernhard Sick
Pubblicato in: 2019 IEEE Intelligent Vehicles Symposium (IV), 2019, Pagina/e 722-729, ISBN 978-1-7281-0560-4
Editore: IEEE
DOI: 10.1109/IVS.2019.8813773

Gated2Depth: Real-time Dense Lidar from Gated Images

Autori: Tobias Gruber, Frank Julca-Aguilar, Mario Bijelic, Werner Ritter, Klaus Dietmayer, Felix Heide
Pubblicato in: International Conference on Computer Vision (ICCV), 2019
Editore: IEEE

Spectral reflectance characterization of the road environment to optimize the choice of autonomous vehicle sensors*

Autori: Michele Colomb, Pierre Duthon, Frederic Bernardin
Pubblicato in: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019, Pagina/e 1085-1090, ISBN 978-1-5386-7024-8
Editore: IEEE
DOI: 10.1109/itsc.2019.8917455

Uncertainty Estimation in One-Stage Object Detection

Autori: Florian Kraus, Klaus Dietmayer
Pubblicato in: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019, Pagina/e 53-60, ISBN 978-1-5386-7024-8
Editore: IEEE
DOI: 10.1109/itsc.2019.8917494

LiDAR Performance Review in Arctic Conditions

Autori: Maria Jokela, Pasi Pyykonen, Matti Kutila, Kimmo Kauvo
Pubblicato in: 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP), 2019, Pagina/e 27-31, ISBN 978-1-7281-4914-1
Editore: IEEE
DOI: 10.1109/iccp48234.2019.8959554

A Multi-Stage Clustering Framework for Automotive Radar Data

Autori: Nicolas Scheiner, Nils Appenrodt, Jurgen Dickmann, Bernhard Sick
Pubblicato in: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019, Pagina/e 2060-2067, ISBN 978-1-5386-7024-8
Editore: IEEE
DOI: 10.1109/itsc.2019.8916873

Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar

Autori: Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide
Pubblicato in: Computer Vision and Pattern Recognition Conference (CVPR2020), 2020
Editore: CVPR

Off-the-shelf sensor vs. experimental radar – How much resolution is necessary in automotive radar classification?

Autori: Nicolas Scheiner, Ole Schumann, Florian Kraus, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
Pubblicato in: 23rd International Conference on Information Fusion, 2020
Editore: IEEE

Using Machine Learning to Detect Ghost Images in Automotive Radar

Autori: Florian Kraus, Nicolas Scheiner, Werner Ritter, Klaus Dietmayer
Pubblicato in: 23rd IEEE Intelligent Transportation Systems Conference (ITSC), 2020
Editore: IEEE

Benchmarking Automotive LiDAR Performance in Arctic Conditions

Autori: Kutila, M. Pyykönen, P., Jokela, M. Gruber, T., Bijelic, M. & Ritter, W.
Pubblicato in: 23rd IEEE Intelligent Transportation Systems Conference (ITSC), 2020
Editore: IEEE

Direction of arrival estimation algorithms for leaky-wave antennas and antenna arrays

Autori: Paaso, Henna
Pubblicato in: 2018
Editore: Oulun yliopisto

Development of an Image Enhancing System for Autonomous Driving based on Generative Adversial Network

Autori: Paula Kysela
Pubblicato in: 2018
Editore: University of Stuttgart

Vision Enhancement for Autonomous Driving under Adverse Weather Conditions using Generative Adversial Nets

Autori: Alexander Hunt
Pubblicato in: 2018
Editore: Ulm University

Electronic Components and Systems for Automotive Applications - Proceedings of the 5th CESA Automotive Electronics Congress, Paris, 2018

Autori: Werner Ritter, Mario Bijelic, Tobias Gruber, Matti Kutila, Hanno Holzhüter
Pubblicato in: Electronic Components and Systems for Automotive Applications - Proceedings of the 5th CESA Automotive Electronics Congress, Paris, 2018, 2019, ISBN 978-3-030-14156-1
Editore: Springer
DOI: 10.1007/978-3-030-14156-1

High-Power 1.5-$\mu$ m Broad Area Laser Diodes Wavelength Stabilized by Surface Gratings

Autori: Antti T. Aho, Jukka Viheriala, Heikki Virtanen, Topi Uusitalo, Mircea Guina
Pubblicato in: IEEE Photonics Technology Letters, Numero 30/21, 2018, Pagina/e 1870-1873, ISSN 1041-1135
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lpt.2018.2870304

Testing and Validation of Automotive Point-Cloud Sensors in Adverse Weather Conditions

Autori: Maria Jokela, Matti Kutila, Pasi Pyykönen
Pubblicato in: Applied Sciences, Numero 9/11, 2019, Pagina/e 2341, ISSN 2076-3417
Editore: Applied Science
DOI: 10.3390/app9112341

Light Transmission in Fog: The Influence of Wavelength on the Extinction Coefficient

Autori: Pierre Duthon, Michèle Colomb, Frédéric Bernardin
Pubblicato in: Applied Sciences, Numero 9/14, 2019, Pagina/e 2843, ISSN 2076-3417
Editore: Applied Sciences
DOI: 10.3390/app9142843

Fog Classification by Their Droplet Size Distributions: Application to the Characterization of Cerema’s Platform

Autori: Pierre Duthon, Michèle Colomb, Frédéric Bernardin
Pubblicato in: Atmosphere, Numero 11/6, 2020, Pagina/e 596, ISSN 2073-4433
Editore: Rotoweb Cantelli
DOI: 10.3390/atmos11060596

What Happens for a ToF LiDAR in Fog?

Autori: You Li, Pierre Duthon, Michele Colomb, Javier Ibanez-Guzman
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, 2020, Pagina/e 1-12, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2020.2998077

High-power 1.5μm laser diodes for LIDAR applications

Autori: Jukka Viheriälä, Antti T. Aho, Topi Uusitalo, Jari Lyytikäinen, Lauri Hallman, Boris S. Ryvkin, Eugene A. Avrutin, Juha T. Kostamovaara, and Mircea Guina
Pubblicato in: IEEE High Power Diode Lasers & Systems Conference, 2019
Editore: IEEE

Diritti di proprietà intellettuale

A VISION SYSTEM AND METHOD FOR A VEHICLE

Numero candidatura/pubblicazione: 17 181441
Data: 2017-07-14

METHOD AND SYSTEM FOR AUTONOMOUS VEHICLE SENSOR ASSISTED SELECTION OF ROUTE WITH RESPECT TO DYNAMIC ROUTE CONDITIONS

Numero candidatura/pubblicazione: 20 17025007
Data: 2017-03-30
Candidato/i: TEKNOLOGIAN TUTKIMUSKESKUS VTT OY

METHOD FOR SELECTING A RESTRICTED OR EMPTY SET OF HYPOTHESES OF POSSIBLE POSITIONS OF A VEHICLE

Numero candidatura/pubblicazione: 20 19053453
Data: 2019-02-12
Candidato/i: RENAULT SAS

A VISION SYSTEM AND VISION METHOD FOR A VEHICLE

Numero candidatura/pubblicazione: 20 18069036
Data: 2018-07-12

METHOD FOR ESTIMATING THE POSITION OF A VEHICLE ON A MAP

Numero candidatura/pubblicazione: 20 19053459
Data: 2019-02-12
Candidato/i: RENAULT SAS

Verfahren zur Unterstützung eines Fahrers eines Kraftfahrzeugs beim Planen eines Überholvorgangs, Computerprogrammprodukt sowie Kraftfahrzeug

Numero candidatura/pubblicazione: 10 2019002479
Data: 2019-04-04

LIDAR RECEIVING UNIT

Numero candidatura/pubblicazione: 20 18081586
Data: 2018-11-16
Candidato/i: IBEO AUTOMOTIVE SYSTEMS GMBH

METHOD AND APPARATUS FOR CONTROLLING A VEHICLE HAVING AUTOMATED DRIVING CONTROL CAPABILITIES

Numero candidatura/pubblicazione: 15 181353
Data: 2015-08-18
Candidato/i: HITACHI EUROPE GMBH

METHOD AND SYSTEM FOR ONLINE PERFORMANCE MONITORING OF THE PERCEPTION SYSTEM OF ROAD VEHICLES

Numero candidatura/pubblicazione: 20 17026183
Data: 2017-04-05
Candidato/i: TEKNOLOGIAN TUTKIMUSKESKUS VTT OY

METHOD AND DEVICE FOR OPTICALLY MEASURING DISTANCES

Numero candidatura/pubblicazione: 16 763800
Data: 2016-09-09
Candidato/i: IBEO AUTOMOTIVE SYSTEMS GMBH

SEMICONDUCTOR LASER STRUCTURE WITH A GRATING AND MULTIPLE PHASE SHIFTS THEREIN

Numero candidatura/pubblicazione: 20 16064476
Data: 2016-06-22
Candidato/i: TTY-SAATIO

LIDAR SYSTEM AND LIDAR METHOD FOR A MOTOR VEHICLE

Numero candidatura/pubblicazione: 18 181448
Data: 2018-07-03

METHOD AND DEVICE FOR OPTICALLY MEASURING DISTANCES

Numero candidatura/pubblicazione: 16 163529
Data: 2016-04-01
Candidato/i: IBEO AUTOMOTIVE SYSTEMS GMBH

Verfahren zur Längsbewegungssteuerung eines Fahrzeuges

Numero candidatura/pubblicazione: 10 2019003558
Data: 2019-05-21

METHOD FOR THE IMPROVED NEAR AND REMOTE DETECTION OF A LIDAR RECEIVING UNIT

Numero candidatura/pubblicazione: 20 18081592
Data: 2018-11-16
Candidato/i: IBEO AUTOMOTIVE SYSTEMS GMBH

Spiegelvorrichtung, die eine Blattfeder mit Öffnungen aufweist

Numero candidatura/pubblicazione: 10 2017219442
Data: 2017-10-30
Candidato/i: INNOLUCE BV

LASER

Numero candidatura/pubblicazione: 20 16080818
Data: 2016-12-13
Candidato/i: TTY-SAATIO

METHOD AND DEVICE FOR ASSISTING DRIVER OF VEHICLE

Numero candidatura/pubblicazione: 20 18037910
Data: 2018-10-11
Candidato/i: HITACHI EUROPE GMBH

HYBRID INTEGRATION OF PHOTONIC CHIPS WITH SINGLE-SIDED COUPLING

Numero candidatura/pubblicazione: 20 18050635
Data: 2018-09-07
Candidato/i: TEKNOLOGIAN TUTKIMUSKESKUS VTT OY

METHOD FOR POWER ADAPTATION OF THE ENVIRONMENT PERCEPTION SYSTEM

Numero candidatura/pubblicazione: 20 18038816
Data: 2018-06-21
Candidato/i: TEKNOLOGIAN TUTKIMUSKESKUS VTT OY

A VISION SYSTEM AND METHOD FOR A VEHICLE

Numero candidatura/pubblicazione: 20 18069039
Data: 2018-07-12

RECEIVING ARRANGEMENT FOR RECEIVING LIGHT SIGNALS

Numero candidatura/pubblicazione: 20 18081992
Data: 2018-11-20
Candidato/i: IBEO AUTOMOTIVE SYSTEMS GMBH

METHOD AND APPARATUS FOR CONTROLLING A VEHICLE HAVING AUTOMATED DRIVING CONTROL CAPABILITIES

Numero candidatura/pubblicazione: 15 181353
Data: 2015-08-18

METHOD AND APPARATUS FOR CONTROLLING A VEHICLE HAVING AUTOMATED DRIVING CONTROL CAPABILITIES

Numero candidatura/pubblicazione: 15 181353
Data: 2015-08-18
Candidato/i: HITACHI EUROPE SAS

A VISION SYSTEM AND VISION METHOD FOR A VEHICLE

Numero candidatura/pubblicazione: 20 19066462
Data: 2019-06-21

A VISION SYSTEM AND VISION METHOD FOR A VEHICLE

Numero candidatura/pubblicazione: 17 181446
Data: 2017-07-14

Verfahren zur Ausgabe eines akustischen Warnhinweises

Numero candidatura/pubblicazione: 10 2019004606
Data: 2019-07-01

Radar

Numero candidatura/pubblicazione: 20 185130
Data: 2018-02-14
Candidato/i: TEKNOLOGIAN TUTKIMUSKESKUS VTT OY

MONITORING LIVING FACILITIES BY MULTICHANNEL RADAR

Numero candidatura/pubblicazione: 20 19050274
Data: 2019-04-05
Candidato/i: TEKNOLOGIAN TUTKIMUSKESKUS VTT OY

RECEIVER FOR RECEIVING LIGHT PULSES, LIDAR MODULE AND METHOD FOR RECEIVING LIGHT PULSES

Numero candidatura/pubblicazione: 19 156472
Data: 2019-02-11
Candidato/i: IBEO AUTOMOTIVE SYSTEMS GMBH

ASSEMBLY AND METHOD FOR ASCERTAINING THE DISTANCE TO AT LEAST ONE OBJECT USING LIGHT SIGNALS

Numero candidatura/pubblicazione: 20 18081990
Data: 2018-11-20
Candidato/i: IBEO AUTOMOTIVE SYSTEMS GMBH

METHOD AND DEVICE FOR ASSISTING DRIVER OF VEHICLE

Numero candidatura/pubblicazione: 20 18037910
Data: 2018-10-11
Candidato/i: HITACHI EUROPE SAS

SEMICONDUCTOR MULTILAYER STRUCTURE

Numero candidatura/pubblicazione: 20 17073521
Data: 2017-09-18
Candidato/i: TTY-SAATIO

METHOD AND DEVICE FOR IMPROVING THE DRIVING SAFETY OF A VEHICLE

Numero candidatura/pubblicazione: 20 18076357
Data: 2018-09-27
Candidato/i: RENAULT SAS

METHOD AND SYSTEM FOR COLLABORATIVE SENSING FOR UPDATING DYNAMIC MAP LAYERS

Numero candidatura/pubblicazione: 17 732627
Data: 2017-04-27
Candidato/i: TEKNOLOGIAN TUTKIMUSKESKUS VTT OY

SYSTEM AND METHOD FOR OPTIMIZING AUTONOMOUS VEHICLE CAPABILITIES IN ROUTE PLANNING

Numero candidatura/pubblicazione: 17 755320
Data: 2017-07-26
Candidato/i: TEKNOLOGIAN TUTKIMUSKESKUS VTT OY

È in corso la ricerca di dati su OpenAIRE...

Si è verificato un errore durante la ricerca dei dati su OpenAIRE

Nessun risultato disponibile