1 code implementation • 17 Jan 2024 • Stefano Damiano, Luca Bondi, Shabnam Ghaffarzadegan, Andre Guntoro, Toon van Waterschoot
In the design of traffic monitoring solutions for optimizing the urban mobility infrastructure, acoustic vehicle counting models have received attention due to their cost effectiveness and energy efficiency.
no code implementations • 30 Jan 2023 • Jun Yin, Stefano Damiano, Marian Verhelst, Toon van Waterschoot, Andre Guntoro
On the algorithmic side, the I-SPOT Project aims to enable detecting, localizing and tracking environmental audio signals by jointly developing microphone array processing and deep learning techniques that specifically target automotive applications.
2 code implementations • 3 Mar 2020 • Karim Guirguis, Christoph Schorn, Andre Guntoro, Sherif Abdulatif, Bin Yang
The understanding of the surrounding environment plays a critical role in autonomous robotic systems, such as self-driving cars.
no code implementations • 25 Oct 2019 • Michael J. Klaiber, Sebastian Vogel, Axel Acosta, Robert Korn, Leonardo Ecco, Kristine Back, Andre Guntoro, Ingo Feldner
End-to-end performance estimation and measurement of deep neural network (DNN) systems become more important with increasing complexity of DNN systems consisting of hardware and software components.
no code implementations • 30 Sep 2019 • Christoph Schorn, Thomas Elsken, Sebastian Vogel, Armin Runge, Andre Guntoro, Gerd Ascheid
It is thus desirable to exploit optimization potential for error resilience and efficiency also at the algorithmic side, e. g., by optimizing the architecture of the DNN.
no code implementations • 20 Nov 2016 • Sebastian Vogel, Christoph Schorn, Andre Guntoro, Gerd Ascheid
Recently published methods enable training of bitwise neural networks which allow reduced representation of down to a single bit per weight.