36 citations · 107 across the 18 of their papers we have counts for
46 papers
Anomaly Detection in Radar Data Using PointNets
Thomas Griebel, Dominik Authaler, Markus Horn +3
For autonomous driving, radar is an important sensor type. On the one hand, radar offers a direct measurement of the radial velocity of targets in the environment. On the other han…
Fast Rule-Based Clutter Detection in Automotive Radar Data
Johannes Kopp, Dominik Kellner, Aldi Piroli +1
Automotive radar sensors output a lot of unwanted clutter or ghost detections, whose position and velocity do not correspond to any real object in the sensor's field of view. This…
GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar Frequencies
Carsten Ditzel, Klaus Dietmayer
Autonomous systems require a continuous and dependable environment perception for navigation and decision-making, which is best achieved by combining different sensor types. Radar…
Attention-based Vehicle Self-Localization with HD Feature Maps
Nico Engel, Vasileios Belagiannis, Klaus Dietmayer
We present a vehicle self-localization method using point-based deep neural networks. Our approach processes measurements and point features, i.e. landmarks, from a high-definition…
Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data
Markus Horn, Ole Schumann, Markus Hahn +2
A complete overview of the surrounding vehicle environment is important for driver assistance systems and highly autonomous driving. Fusing results of multiple sensor types like ca…
Online Extrinsic Calibration based on Per-Sensor Ego-Motion Using Dual Quaternions
Markus Horn, Thomas Wodtko, Michael Buchholz +1
In this work, we propose an approach for extrinsic sensor calibration from per-sensor ego-motion estimates. Our problem formulation is based on dual quaternions, enabling two diffe…