2 papers
cs.CV2021
Polynomial Trajectory Predictions for Improved Learning Performance
Ido Freeman, Kun Zhao, Anton Kummert
The rising demand for Active Safety systems in automotive applications stresses the need for a reliable short to mid-term trajectory prediction. Anticipating the unfolding path of…
cs.CV2019
A Statistical Defense Approach for Detecting Adversarial Examples
Alessandro Cennamo, Ido Freeman, Anton Kummert
Adversarial examples are maliciously modified inputs created to fool deep neural networks (DNN). The discovery of such inputs presents a major issue to the expansion of DNN-based s…