Följ
Samuel Scheidegger
Samuel Scheidegger
Asymptotic AI
Verifierad e-postadress på asymptotic.ai
Titel
Citeras av
Citeras av
År
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
2752017
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
1582018
climateBUG: A data-driven framework for analyzing bank reporting through a climate lens
Y Yu, S Scheidegger, J Elliott, Å Löfgren
Expert Systems with Applications 239, 122162, 2024
12024
Separable convolutional eigen-filters (SCEF): Building efficient CNNs using redundancy analysis
S Scheidegger, Y Yu, T McKelvey
arXiv e-prints, 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
Qually: a quality validation toolbox for automotive perception data towards trustworthy AI
Y Yu, S Scheidegger, J Bakker
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 preprint arXiv:1910.09359, 2019
2019
Halvledarreläer
M Ernst, S Scheidegger
2013
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–10