activity
20202024
most citedThe Radar Ghost Dataset -- An Evaluation of Ghost Objects in Automotive Radar Data

35 citations · 74 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024★ 35 cited

The Radar Ghost Dataset -- An Evaluation of Ghost Objects in Automotive Radar Data

Florian Kraus, Nicolas Scheiner, Werner Ritter +1

Radar sensors have a long tradition in advanced driver assistance systems (ADAS) and also play a major role in current concepts for autonomous vehicles. Their importance is reasone…

cs.CV2023

LMR: Lane Distance-Based Metric for Trajectory Prediction

Julian Schmidt, Thomas Monninger, Julian Jordan +1

The development of approaches for trajectory prediction requires metrics to validate and compare their performance. Currently established metrics are based on Euclidean distance, w…

cs.CV2023

Tackling Clutter in Radar Data -- Label Generation and Detection Using PointNet++

Johannes Kopp, Dominik Kellner, Aldi Piroli +1

Radar sensors employed for environment perception, e.g. in autonomous vehicles, output a lot of unwanted clutter. These points, for which no corresponding real objects exist, are a…

cs.CV2023★ 2 cited

Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles

Adrian Holzbock, Nicolai Kern, Christian Waldschmidt +2

We present a joint camera and radar approach to enable autonomous vehicles to understand and react to human gestures in everyday traffic. Initially, we process the radar data with…

cs.CV2022

Transformers for Object Detection in Large Point Clouds

Felicia Ruppel, Florian Faion, Claudius Gläser +1

We present TransLPC, a novel detection model for large point clouds that is based on a transformer architecture. While object detection with transformers has been an active field o…