Summaries of Deliverables
RobustSENSE´s progress will be documented by deliverables. Please download the documents written by the RobustSENSE experts from the overview below.
D1.1 RobustSENSE Project Handbook (abstract)
D2.1 RobustSENSE Initial System Specification (abstract)
D2.2 RobustSENSE Metrics and Validation Criteria (abstract)
D3.1 RobustSENSE Specification of the modular system architecture (abstract)
D3.3 Package of generic sensor models for the sensor platform (abstract)
D3.4 Environment perception module implemented for possible use in the demonstrator vehicle (abstract)
D4.1 RobustSENSE Specification of Modules (abstract)
D4.2 Replay framework for situation understanding and trajectory planning (abstract)
D5.1 System performance assessment specification
D5.2 Laboratory and environmental test reports (abstract)
D5.3 Sensor platform prototype (abstract)
D6.2 RobustSENSE Dissemination Plan (update)
General project material
Please find our project rollup and other information materials below. Just click on the related button to receive the RobustSENSE material.
RobustSENSE Project Roll-up
RobustSENSE Factsheet
RobustSENSE ECSEL Factsheet
RobustSENSE ECSEL Poster
Final Event presentations
You can download the RobustSENSE Final Event presentations below.
Werner Ritter: Agenda and Opening
Werner Ritter: The RobustSENSE Approach
Bernd Schäufele: Requirements & Architecture
Klaus Dietmayer: Sensor & Fusion Layer
Florian Kuhnt: Situation Understanding and Planning Layer
Pablo Mejuto: Prototypes and Testing
Werner Ritter: Demonstration and Exhibition
Scientific publications, events and other material
In this section, you will find information about events and congresses and related material that is published by the RobustSENSE partners.
June 2016: Poster “Functional System Architectures towards Fully Automated Driving” by Ömer Sahin Tas et. al., FZI @ IEEE Intelligent Vehicle Symposium
June 2016: Paper “Functional System Architectures towards Fully Automated Driving” by Ömer Sahin Tas et. al., FZI @ IEEE Intelligent Vehicle Symposium
http://ieeexplore.ieee.org/document/7535402/June 2016: Paper “Understanding Interactions between Traffic Participants based on Learned Behaviors” by Florian Kuhnt et. al., FZI @ IEEE Intelligent Vehicle Symposium
http://ieeexplore.ieee.org/document/7535554/January 2016: RobustSENSE presentation @Tech Center a-drive event, Ulm, Germany by Klaus Dietmayer (UULM)
November 2016: "Automotive LIDAR Sensor Development for Harsh Weather Conditions" by Matti Kutila et al. @ ITSC 2016
https://ieeexplore.ieee.org/document/7795565/November 2016: "Robust Environment Perception for the Audi Autonomous Driving Cup" by Florian Kuhnt et al. @ ITSC 2016
https://ieeexplore.ieee.org/document/7795744/June 2017: "Probabilistic Long-Term Prediction for Autonomous Vehicles" by Stefan Hoermann et al. @ IV 2017
https://ieeexplore.ieee.org/document/7995726/September 2017: "Spectral attenuation on low visibility conditions in artificial fog - Experimental study and comparison to literature models " by Aki Mäyrä et al. @ ICCP 2017
https://ieeexplore.ieee.org/document/8117021/September 2017: "Experimental study on spectral absorbance in fog as a function of temperature, liquid water content, and particle size" by Aki Mäyrä et al. @ SPIE Remote Sensing 2017
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10425/104250G/Experimental-study-on-spectral-absorbance-in-fog-as-a-function/10.1117/12.2277308.short?SSO=1October 2017: "Polarimetric RCS Analysis of Traffic Objects" by Hasan Iqbal et al. @ Radar Conference
https://ieeexplore.ieee.org/document/8249144/October 2017: "Automated Vehicle System Architecture with Performance Assessment" by Ömer Sahin Tas et al. @ ITSC 2017
https://ieeexplore.ieee.org/document/8317862/December 2017: "Learning Long-Term Situation Prediction for Automated Driving" by Stefan Hörmann, Martin Bach, Klaus Dietmayer @ ICMLA 2017
https://ieeexplore.ieee.org/document/8260771May 2018: "Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling" by Stefan Hörmann, Martin Bach, Klaus Dietmayer @ ICRA 2018
https://arxiv.org/abs/1705.08781Thesis
Master Thesis related to the project: