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Samuel Scheidegger
Samuel Scheidegger
Aixia, Asymptotic AI
Verified email at asymptotic.ai
Title
Cited by
Cited by
Year
Fast LIDAR-based road detection using fully convolutional neural networks
L Caltagirone, S Scheidegger, L Svensson, M Wahde
2017 ieee intelligent vehicles symposium (iv), 1019-1024, 2017
2222017
Mono-camera 3d multi-object tracking using deep learning detections and pmbm filtering
S Scheidegger, J Benjaminsson, E Rosenberg, A Krishnan, K Granström
2018 IEEE Intelligent Vehicles Symposium (IV), 433-440, 2018
1182018
Separable convolutional eigen-filters (SCEF): Building efficient CNNs using redundancy analysis
S Scheidegger, Y Yu, T McKelvey
arXiv preprint arXiv:1910.09359, 2019
12019
Monocular simultaneous localisation and mapping for road vehicles
M Ernst, S Scheidegger
12015
A Pre-study on Data Processing Pipelines for Roadside Object Detection Systems Towards Safer Road Infrastructure
Y Yu, S Scheidegger, JF Grönvall, M Palm, E Svanberg, JA Wennerby, ...
arXiv preprint arXiv:2205.01783, 2022
2022
Safety-driven data labelling platform to enable safe and responsible AI
Y Yu, S Scheidegger, J Bakker
2021
Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters (DeCEF)
Y Yu, S Scheidegger, T McKelvey
arXiv e-prints, arXiv: 1910.09359, 2019
2019
Halvledarreläer
M Ernst, S Scheidegger
2013
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