32 citations · 42 across the 5 of their papers we have counts for
8 papers
Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic
Parthasarathy Nadarajan, Michael Botsch, Sebastian Sardina
This paper introduces a novel machine learning architecture for an efficient estimation of the probabilistic space-time representation of complex traffic scenarios. A detailed repr…
Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm
Parthasarathy Nadarajan, Michael Botsch, Sebastian Sardina
In this paper, a probabilistic space-time representation of complex traffic scenarios is predicted using machine learning algorithms. Such a representation is significant for all a…
Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques
Zihang Su, Tianshi Yu, Nir Lipovetzky +6
A transhumeral prosthesis restores missing anatomical segments below the shoulder, including the hand. Active prostheses utilize real-valued, continuous sensor data to recognize pa…
Multi-tier Automated Planning for Adaptive Behavior (Extended Version)
Daniel Ciolek, Nicolás D'Ippolito, Alberto Pozanco +1
A planning domain, as any model, is never complete and inevitably makes assumptions on the environment's dynamic. By allowing the specification of just one domain model, the knowle…
Situation Calculus for Synthesis of Manufacturing Controllers
Giuseppe De Giacomo, Brian Logan, Paolo Felli +2
Manufacturing is transitioning from a mass production model to a manufacturing as a service model in which manufacturing facilities 'bid' to produce products. To decide whether to…
Phase transition in the knapsack problem
Nitin Yadav, Carsten Murawski, Sebastian Sardina +1
We examine the phase transition phenomenon for the Knapsack problem from both a computational and a human perspective. We first provide, via an empirical and a theoretical analysis…