3 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
Sensor Visibility Estimation: Metrics and Methods for Systematic Performance Evaluation and Improvement
Joachim Börger, Marc Patrick Zapf, Marat Kopytjuk +2
Sensor visibility is crucial for safety-critical applications in automotive, robotics, smart infrastructure and others: In addition to object detection and occupancy mapping, visib…
Can Transformer Attention Spread Give Insights Into Uncertainty of Detected and Tracked Objects?
Felicia Ruppel, Florian Faion, Claudius Gläser +1
Transformers have recently been utilized to perform object detection and tracking in the context of autonomous driving. One unique characteristic of these models is that attention…
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…
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections
Michael Ulrich, Claudius Gläser, Fabian Timm
This paper presents an novel object type classification method for automotive applications which uses deep learning with radar reflections. The method provides object class informa…