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Boris Kluge

dblp:36/1918 · DBLP profile ↗
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5ranked-venue papers
3as first author
0since 2021 · last 2004
—ORCID · none

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

Artificial intelligence and machine learning · 5 · 3 first-authorSystems, architecture and hardware · 5 · 3 first-author

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 · 70% Video understanding and tracking · 23% Robot navigation and mapping · 7%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › path planning › dynamic path planning
path planning with moving obstacles		 0.012004
Reflective Navigation: Individual Behaviors and Group Behaviors · ICRA 2004
Robotics › Motion planning and robot control › collision avoidance
velocity obstacle		 0.012004
Reflective Navigation: Individual Behaviors and Group Behaviors · ICRA 2004
Computer vision › Video understanding and tracking
multi-object tracking		 0.012001
Fast and Robust Tracking of Multiple Moving Objects with a Laser Range Finder · ICRA 2001

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

velocity obstacle · 0.0probabilistic modeling · 0.0network optimization · 0.0correspondence estimation · 0.0
YearPublicationVenuePosition
2004 Reflective Navigation: Individual Behaviors and Group Behaviors
abstract
An approach to motion planning among moving obstacles is presented, whereby obstacles are modeled as intelligent decision-making agents. The decision-making processes of the obstacles are assumed to be similar to that of the mobile robot. A probabilistic extension to the velocity obstacle approach is used as a means for navigation and modeling uncertainty about the moving obstacles' decisions.
Boris Kluge, Erwin Prassler
 ICRA1
2003 Recursive agent modeling with probabilistic velocity obstacles for mobile robot navigation among humans
abstract
An approach to motion planning among moving obstacles is presented, whereby obstacles are modeled as intelligent decision-making agents. The decision-making processes of the obstacles are assumed to be similar to that of the mobile robot. A probabilistic extension to the velocity obstacle approach is used as a means for navigation and modeling uncertainty about the moving obstacles' decisions.
Boris Kluge
 IROS1
2002 Statistical recognition of motion patterns
abstract
This paper addresses the problem of people detection in dynamic environments in real-time and the extraction of typical motion patterns. The need for estimation of peoples movements with a mobile robot is essential for many applications in the field of service robotics. One key prerequisite for a machine to interact intelligently with people is its ability to recognize humans and their behavior. This paper presents an approach for tracking people in dynamic environments and to determine their behavior.
Jörg Illmann, Boris Kluge, Erwin Prassler
 IROS2
2002 Motion coordination between a human and a mobile robot
abstract
In this paper we describe an approach to coordinating the motion of a human with a mobile robot moving in a populated, continuously changing, natural environment. The approach is based on a method for motion planning amongst moving obstacles known as the velocity obstacle approach. We extend this method by a method for tracking a virtual target which allows us to vary the robot's heading and velocity with the locomotion of the accompanied person and the state of the surrounding environment. Our test application is a wheelchair accompanying a person through the concourse of a railway station.
Erwin Prassler, Dirk Bank, Boris Kluge
 IROS3
2001 Fast and Robust Tracking of Multiple Moving Objects with a Laser Range Finder
abstract
In this paper we focus on the task of tracking multiple moving objects in rapidly changing, dynamic environments. Objects are extracted from laser range finder images and correspondences between successive images are established by network optimization techniques. The approach is implemented on a robotic wheelchair, used in two applications and evaluated experimentally.
Boris Kluge, Christian Köhler 0004, Erwin Prassler
 ICRA1