24 citations · 24 across the 2 of their papers we have counts for
3 papers · 1 filter
A Pre-study on Data Processing Pipelines for Roadside Object Detection Systems Towards Safer Road Infrastructure
Yinan Yu, Samuel Scheidegger, John-Fredrik Grönvall +4
Single-vehicle accidents are the most common type of fatal accidents in Sweden, where a car drives off the road and runs into hazardous roadside objects. Proper installation and ma…
Mono-Camera 3D Multi-Object Tracking Using Deep Learning Detections and PMBM Filtering
Samuel Scheidegger, Joachim Benjaminsson, Emil Rosenberg +2
Monocular cameras are one of the most commonly used sensors in the automotive industry for autonomous vehicles. One major drawback using a monocular camera is that it only makes ob…
Fast LIDAR-based Road Detection Using Fully Convolutional Neural Networks
Luca Caltagirone, Samuel Scheidegger, Lennart Svensson +1
In this work, a deep learning approach has been developed to carry out road detection using only LIDAR data. Starting from an unstructured point cloud, top-view images encoding sev…