PUBLIC RESULTS

Discover key results of our project, download project material, such as presentations and scientific papers.

Publications

Here you can find a list of scientific publications of the project

  1. Thomas Rothmeier, Werner Huber: Let it Snow: On the Synthesis of Adverse Weather Image Data. In: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, USA, 19-22 September 2021
  2. Frank Julca-Aguilar, Jason Taylor, Mario Bijelic, Fahim Mannan, Ethan Tseng, Felix Heide: Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues. In: 2021 International Conference on Computer Vision (ICCV), virtually, 11-17 October 2021
  3. Amanpreet Walia, Stefanie Walz, Mario Bijelic, Fahim Mannan, Frank Julca-Aguilar, Michael Langer, Werner Ritter, Felix Heide: Gated2Gated: Self-Supervised Depth Estimation from Gated Images. In: 2022 Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, 19-24 June 2022
  4. Philipp Hank, Andre Liemert, Alwin Kienle (2022): Analytical Solution of the Vector Radiative Transfer Equation for the Single Scattered Radiance. In: Journal of the Optical Society of America A. DOI: 10.1364/JOSAA.467890 
  5. Maurice Wanitzek, Michael Oehme, Christian Spieth, Daniel Schwarz, Lukas Seidel, Jörg Schulze: GeSn-on-Si Avalanche Photodiodes for Short-Wave Infrared Detection. In: ​ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC), Milan, Italy, 19-22 September 2022
  6. Simeon Geiger, Andre Liemert, Dominik Reitzle, Mario Bijelic, Andrea Ramazzina, Werner Ritter, Felix Heide, Alwin Kienle (2022): Single Scattering Models for Radiative Transfer of Isotropic and Cone-shaped Light Sources in Fog. In: Optics Express. DOI: 10.1364/OE.467522

DELIVERABLES

Here you can find the public deliverables of the project

AI-SEE Deliverable D2.1 Multi-sensorial perception system architecture, requirements and use cases

AI-SEE Deliverable D4.1 First generative and discriminative NN models

AI-SEE Deliverable D4.2 Sensor enhancement and enrichment 

AI-SEE Deliverable D4.5 HD mapping modules

AI-SEE Deliverable D4.3 Back loop sensor adaptation

Project Materials

Here you can download the following project material

Press Kit

Here you can find our press kit

Presentations

Here you can find a list of public presentations of the project

13 July 2021, 2021 TBR Annual Automated Road Transportation Symposium, ARTS21, Dr. Matti Kuttila & Dr. Sami Koskinen, VTT: Connected and Automated Driving - C-V2X and AI experiments

20 June 2022, IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Dr. Werner Ritter, Mercedes-Benz AG: European Research Project AI-SEE: Artificial Intelligence Enhancing Vehicle Vision in Low Visibility Conditions - Overview and First Results

23 November 2022, VDA Präsenzmeeting Berlin - AK AF / Automatisiertes Fahren, Dr. Werner Ritter, Mercedes-Benz AG: How can we ensure that automated vehicles drive reliably even in adverse weather conditions?

Here you can find the public presentations of the project

1. 13 July 2022, 2021 TBR Annual Automated Road Transportation Symposium, ARTS21, Dr. Matti Kuttila & Dr. Sami Koskinen, VTT: Connected and Automated Driving - C-V2X and AI experiments

 

Videos

Here you can find the videos of the project & its partners

Videos

videos