Samuel Scheidegger

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 7

Top Topics

Multiple Cameras

Convolutional Neural Networks

Top Venues

Intelligent Vehicles Symposium

Expert Syst. Appl.

Publications

Yinan Yu, Samuel Scheidegger, Jasmine Elliott, Åsa Löfgren
climateBUG : A data-driven framework for analyzing bank reporting through a climate lens. Expert Syst. Appl. 239 (2024)
Yinan Yu, Samuel Scheidegger, John-Fredrik Grönvall, Magnus Palm, Erik Svanberg, Johan Amoruso Wennerby, Jörg Bakker
A Pre-study on Data Processing Pipelines for Roadside Object Detection Systems Towards Safer Road Infrastructure. CoRR (2022)
Samuel Scheidegger, Yinan Yu, Tomas McKelvey
Separable Convolutional Eigen-Filters (SCEF): Building Efficient CNNs Using Redundancy Analysis. CoRR (2019)
Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg, Amrit Krishnan, Karl Granström
Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering. CoRR (2018)
Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg, Amrit Krishnan, Karl Granström
Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering. Intelligent Vehicles Symposium (2018)
Luca Caltagirone, Samuel Scheidegger, Lennart Svensson, Mattias Wahde
Fast LIDAR-based Road Detection Using Fully Convolutional Neural Networks. CoRR (2017)
Luca Caltagirone, Samuel Scheidegger, Lennart Svensson, Mattias Wahde
Fast LIDAR-based road detection using fully convolutional neural networks. Intelligent Vehicles Symposium (2017)