1st Workshop on Scene Understanding
in Unstructured Environments

In conjunction with the DAGM GCPR 2021, September 28

Registration is now open at virtual21.dagm-gcpr.de


The workshop will include talks from invited keynote speakers, oral presentations from workshop participants, as well as technical reports from participants in the Outdoor Semantic Segmentation Challenge.

Please notice, that the DAGM GCPR 2021 will be held as a virtual conference this year. Register here to attend our workshop.

See here the preliminary workshop schedule below. This is still subject to change:

Time (CEST) Event
14:00 - 14:15 Introduction to the SUUE Workshop
14:15 - 14:50 "Autonomous Construction Vehicles"
- Prof. Karsten Berns -

14:50 - 15:25 "Environment Monitoring and Intervention for Robots in Agriculture"
- Prof. Cyrill Stachniss -

15:25 - 15:35 ☕ coffee break ☕
15:35 - 16:10 "Learning to Navigate in Challenging Environment: from Simulation to the Real World"
- Wenshan Wang and Prof. Sebastian Scherer -

16:10 - 16:45 "Perception in the Wild for Off-Road Autonomous Vehicles"
- Prof. Srikanth Saripalli -

16:45 - 16:55 ☕ coffee break ☕
16:55 - 17:10 "Domain Transfer in the Semantic Segmentation of 3D Point Clouds with Neural Networks"
- Jannis Schmidl, Nina Felicitas Heide and Norbert Schmitz -

17:10 - 17:25 "Estimating Leaf Water Content using Remotely Sensed Hyperspectral Data"
- Vishal Vinod, Rahul Raj, Rohit Pingale and Adinarayana Jagarlapudi -

17:25 - 17:35 ☕ coffee break ☕
17:35 - 18:05 Technical Reports on the Outdoor Semantic Segmentation Challenge:

"DHC-NN: Deformable High-Resolution Convolutional Neural Network for Semantic Segmentation"
- Advanced Computer Vision Lab at the National Cheng Kung University -

"Deeplabv3+ for Semantic Segmentation of Unstructured Rural Environment"
- Diego Pavan Soler, Roberto Hirata Jr. and Mateus Espadoto from the Institute of Mathematics and Statistics, University of São Paulo -

[Video]    [Report]    [GitHub]

"Learning to Identify the Navigable Path in Unstructured and Off-Road Scenes from a Single Dataset"
- Team DeepUFSC from the Federal University of Santa Catarina -

[Video]    [Report]
18:05 - 18:15 Open Discussion & Outlook towards SUUE 2022