Ensuring safety and meeting temporal specifications are critical challen...
Hybrid systems are prevalent in robotics. However, ensuring the stabilit...
Large-scale self-supervised models have recently revolutionized our abil...
Autonomous systems with uncertainties are prevalent in robotics. However...
Density of the reachable states can help understand the risk of
safety-c...
State density distribution, in contrast to worst-case reachability, can ...
Reactive and safe agent modelings are important for nowadays traffic
sim...
This paper focuses on building semantic maps, containing object poses an...
Performing inference on deep learning models for videos remains a challe...
Temporal modelling is the key for efficient video action recognition. Wh...
Action recognition is an open and challenging problem in computer vision...
To enable intelligent automated driving systems, a promising strategy is...
Unsupervised learning for visual perception of 3D geometry is of great
i...