Submission Information

The submission portal is now open and authors can submit workshop papers. Please follow the submission link and select "WS12 - Workshop on Autonomy@Scale" from the workshop list.

Additional submission information can be found on the official IV 2023 website. Paper submission instructions can be found here.

Topics

The focus of this workshop is on methods and approaches that contribute to the scaling of autonomy solutions. The goal of these methods is to reduce the dependency on high data volumes, to use different data sources and to be able to use knowledge that has already been gained from other domains:

• Semi-Supervised, Weakly-Supervised Learning and Unsupervised Learning

• Few/Single Shot Learning

• Multi-Task Learning

• Active Learning

• Continuous Learning, Incremental Learning and Transfer Learning

• Knowledge Transfer and Knowledge Distillation

• Domain and Task Adaptation

• Uncertainty Estimation and Out of Distribution Detection

• Generative Modelling (e.g. GANs, VAEs)

• Relational Learning (e.g. Graph Networks, Self-Attention)

Application Areas

The application areas for the above methods are different sources of domain shifts and changes. These changes can be caused by:

• Changes in task or label set (e.g. new classes or class imbalance)

• Changes from simulation to real environment and vice versa (sim2real)

• Cross sensor adaptation and using the knowledge from other sensors (with different technology, type, or position and orientation)

• Place and locations such as changes in road domain (e.g. highway to urban) or country (e.g. USA to china) or traffic situations (e.g roundabout to intersection)

• Changes caused by time (e.g. seeing new) or changes in weather or lighting conditions.

• The application areas may be applied to different sensor technologies (e.g. camera, LiDAR, and RADAR) and also be used in different functional modules such as perception, fusion, behavior and trajectory planning.