32 citations · 49 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
Probability Estimation for Predicted-Occupancy Grids in Vehicle Safety Applications Based on Machine Learning
Parthasarathy Nadarajan, Michael Botsch
This paper presents a method to predict the evolution of a complex traffic scenario with multiple objects. The current state of the scenario is assumed to be known from sensors and…