Jakob Wilm — accepted AI-conference papers

2022

Multi-view object pose distribution tracking for pre-grasp planning on mobile robots

Lakshadeep Naik, Thorbjørn Mosekjær Iversen, Aljaz Kramberger, Jakob Wilm, Norbert Krüger

ICRA 2022poster

The ability to track the 6D pose distribution of an object when a mobile manipulator robot is still approaching the object can enable the robot to pre-plan grasps that combine base and arm motion. However, tracking a 6D object pose distribution from a distance can be challenging due to the limited v…

Cited by 9 Source ↗Scholar ↗

2019

Rapid Estimation of Optical Properties for Simulation-Based Evaluation of Pose Estimation Performance

Thorbjørn Mosekjær Iversen, Jakob Wilm, Dirk Kraft

IROS 2019poster

A growing trend in computer vision is the use of synthetic images for the evaluation of computer vision algorithms such as 3D pose estimation. This is partly due to the availability of high-quality render engines, which provide highly realistic synthetic images. However, the realism of the rendered…

Cited by 1 Source ↗Scholar ↗