activity
20192023
most cited2D Car Detection in Radar Data with PointNets

150 citations · 154 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2023

Adaptive Patched Grid Mapping

Thomas Wodtko, Thomas Griebel, Michael Buchholz

In this work, we propose a novel adaptive grid mapping approach, the Adaptive Patched Grid Map, which enables a situational aware grid based perception for autonomous vehicles. Its…

eess.SP2022

Self-Assessment for Single-Object Tracking in Clutter Using Subjective Logic

Thomas Griebel, Johannes Müller, Paul Geisler +4

Reliable tracking algorithms are essential for automated driving. However, the existing consistency measures are not sufficient to meet the increasing safety demands in the automot…

cs.CV2021

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…

eess.SY2020

Kalman Filter Meets Subjective Logic: A Self-Assessing Kalman Filter Using Subjective Logic

Thomas Griebel, Johannes Müller, Michael Buchholz +1

Self-assessment is a key to safety and robustness in automated driving. In order to design safer and more robust automated driving functions, the goal is to self-assess the perform…

eess.SP2019★ 4 cited

Subjective Logic-based Identification of Markov Chains and Its Application to CAV's Safety

Johannes Müller, Thomas Griebel, Michael Gabb +1

A reliable estimation of the communication chan-nel which connects automated vehicles is an important steptowards the safety of connected and automated vehicles. The communication…

cs.CV2019★ 150 cited

2D Car Detection in Radar Data with PointNets

Andreas Danzer, Thomas Griebel, Martin Bach +1

For many automated driving functions, a highly accurate perception of the vehicle environment is a crucial prerequisite. Modern high-resolution radar sensors generate multiple rada…