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Frank Heimes

dblp:60/4835 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2002
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 first-authorSystems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Motion planning and robot control · 29% Autonomous driving · 29% Image recognition and object detection · 29%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Autonomous driving
driver assistance
0.012002
Towards Active Machine-Vision-Based Driver Assistance for Urban Areas · Int. J. Comput. Vis. 2002
Computer vision › Image recognition and object detection
object detection
0.012002
Towards Active Machine-Vision-Based Driver Assistance for Urban Areas · Int. J. Comput. Vis. 2002
Computer vision › 3D vision
pose estimation
0.011997
Towards visually servoed manipulation of car engine parts · ICRA 1997
Robotics › Motion planning and robot control › robot control › sensor-based control › visual servoing
position-based visual servoing
0.011997
Towards visually servoed manipulation of car engine parts · ICRA 1997
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing
0.011997
Towards visually servoed manipulation of car engine parts · ICRA 1997

Methods — techniques the papers use, named apart from their topics

image feature-based pose estimation · 0.0
YearPublicationVenuePosition
2002 Towards Active Machine-Vision-Based Driver Assistance for Urban Areas
Frank Heimes, Hans-Hellmut Nagel
Int. J. Comput. Vis.1
2000 Quantitative comparison between trajectory estimates obtained from a binocular camera setup within a moving road vehicle and from the outside by a stationary monocular camera
Hans-Hellmut Nagel, Frank Heimes, Klaus Fleischer, Michael Haag, Holger Leuck, Sven Noltemeier
Image Vis. Comput.2
1997 Towards visually servoed manipulation of car engine parts
abstract
The disassembly of engines of used cars based on visually servoed manipulators requires a state-of-the-art vision system which is able to evaluate images of dirty, partly occluded or possibly rearranged quasi- or non-polyhedral parts in real-time. As the pose of a stationary rigid part has, in general, six degrees of freedom, at least six degrees of freedom of a manipulator have to be visually controlled. Two pose estimators relying on different types of image features are discussed within a common framework. A position-based solution to the visually servoed manipulation of non-polyhedrals is presented that extends to real time and meets all given requirements. Experiments with the manipulation of a battery, which is partly occluded by wires, show the feasibility of the proposed approach.
Martin Tonko, Kart Schäfer, Frank Heimes, Hans-Hellmut Nagel
ICRA3