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Informed Haar-Like Features Improve Pedestrian Detection
- Shanshan Zhang, C. Bauckhage, A. Cremers
- Computer ScienceIEEE Conference on Computer Vision and Pattern…
- 23 June 2014
This work employs a statistical model of the up-right human body where the head, the upper body, and the lower body are treated as three distinct components and systematically design a pool of rectangular templates that are tailored to this shape model.
Experiences with an Interactive Museum Tour-Guide Robot
MINERVA: a second-generation museum tour-guide robot
- S. Thrun, Maren Bennewitz, D. Schulz
- Computer ScienceProceedings IEEE International Conference on…
- 10 May 1999
An interactive tour-guide robot is described, which was successfully exhibited in a Smithsonian museum, and uses learning pervasively at all levels of the software architecture to address issues such as safe navigation in unmodified and dynamic environments, and short-term human-robot interaction.
The Interactive Museum Tour-Guide Robot
It is argued that time is ripe for the development of AI-based commercial service robots that assist people in everyday life.
Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva
This paper describes Minerva, an interactive tour-guide robot that was successfully deployed in a Smithsonian museum. Minerva’s software is pervasively probabilistic, relying on explicit…
People Tracking with Mobile Robots Using Sample-Based Joint Probabilistic Data Association Filters
This paper introduces sample-based joint probabilistic data association filters as a new algorithm to track multiple moving objects using Bayesian filtering to adapt the tracking process to the number of objects in the perceptual range of the robot.
Adaptive real-time video-tracking for arbitrary objects
- D. Klein, D. Schulz, S. Frintrop, A. Cremers
- Computer ScienceIEEE/RSJ International Conference on Intelligent…
- 3 December 2010
A visual object tracker for mobile systems that is able to specialize to individual objects during tracking and the way it is automatically adapted to a changing object and background appearance over time is presented.
Tracking multiple moving targets with a mobile robot using particle filters and statistical data association
- D. Schulz, W. Burgard, D. Fox, A. Cremers
- Computer ScienceProceedings ICRA. IEEE International Conference…
- 21 May 2001
A sample-based variant of joint probabilistic data association filters is introduced to track features originating from individual objects and to solve the correspondence problem between the detected features and the filters.
Land-Use Dynamic Simulator (LUDAS): A multi-agent system model for simulating spatio-temporal dynamics of coupled human-landscape system. I. Structure and theoretical specification
The Mobile Robot RHINO
The major components of the RHINO control software as they were exhibited at the AAAI Robot Competition and Exhibition are described and the basic philosophy of theRHINO architecture is sketched.