Describes a vision system for obstacle detection in mobile robot navigation. The system uses an image processing board equipped with an MPEG motion estimation processor that calculates a robust optic-flow-like vector ...
详细信息
ISBN:
(纸本)0769507506
Describes a vision system for obstacle detection in mobile robot navigation. The system uses an image processing board equipped with an MPEG motion estimation processor that calculates a robust optic-flow-like vector field in real-time. This field is then evaluated by algorithms running in software on the host PC. As the solutions to the general problem of structure and motion from optic flow are too instable for the use in this application, the typical constraints of mobile robotics are exploited, i.e. a reduced set of motion parameters and a known ground plane. Ego-motion can then be reconstructed with robust one dimensional methods. A new criterion for obstacles that copes well with the noise properties of the motion field is introduced. For vectors belonging to obstacles the 3D information is reconstructed allowing not only qualitative detection of obstacles but quantitative path planning.
In real-timesystems, the use of databases is increasing. If the application is safety-critical, one must guarantee in advance, by suitable verification methods, that all deadlines hold in all possible cases of use. P...
详细信息
In real-timesystems, the use of databases is increasing. If the application is safety-critical, one must guarantee in advance, by suitable verification methods, that all deadlines hold in all possible cases of use. Predictability of the database's concurrency control protocol is one of the most important prerequisites for this. However, most real-time concurrency control protocols are influenced by traditional database requirements. For hard real-timesystems, they are usually unsuitable, because they are not predictable and they noticeably interfere with task scheduling. We present a new semantic concurrency control protocol called PRED-DF (PREDeclaration and Data Flow analysis) for main-memory real-time database systems. PRED-DF uses pre-declaration, is locking-based and generates serializable schedules. It uses additional knowledge gained from advance analysis of the application's data flow to minimize blocking times. PRED-DF's behavior is predictable and so the verification of real-time requirements is possible.
Research has focused on developing control strategies that allow to work with imprecisely calibrated or even uncalibrated robot systems. A popular approach is to close the control loop with visual feedback (visual ser...
详细信息
Research has focused on developing control strategies that allow to work with imprecisely calibrated or even uncalibrated robot systems. A popular approach is to close the control loop with visual feedback (visual servoing), even though this requires continuous, high rate image processing. In contrast, we developed a strategy that can compensate calibration errors by integrating sparse visual feedback asynchronously. This strategy was motivated by neuroscientific studies which show that human grasping definitely requires only sparse asynchronous visual feedback, even with disturbed visual input. We analyze the performance of our control strategy on a robotic hand-eye system consisting of a 6 d.o.f. manipulator and a pan-tilt head with a stereo camera system. To analyze thoroughly which calibration errors can be compensated by sparse feedback, we furthermore built a complete simulation model of the real hand-eye system, including the vision modules. Taken together, experimental and simulation results show that calibration errors can be compensated with a very moderate amount of (asynchronous) visual feedback. Thus, the proposed control strategy can indeed be seen as a serious alternative to visual servoing for realrobotics applications. This shows that robotics can profit from taking a closer look at the results of neuroscience.
Robust and safe traversal of doors is an important task for autonomous mobile robots. This paper presents a robust and inexpensive approach for recognizing and localizing doors based on monocular grey-level images and...
详细信息
Robust and safe traversal of doors is an important task for autonomous mobile robots. This paper presents a robust and inexpensive approach for recognizing and localizing doors based on monocular grey-level images and minimalistic models. The traversal is achieved by servoing the robot with respect to the door-hypothesis. Robustness against pose errors, scene complexity, and sensing conditions is obtained by combining indexing on significant aggregated features with a multi-view approach that employs consistency over time: pose-hypotheses are filtered via the motion of the robot to reject incorrect ones. The traversal is implemented as a behavior and was evaluated in 150 experiments at different doors under different conditions.
In the development of embedded hard real-timesystems the ability to guarantee worst case execution times is gaining importance and complexity. The fast evolving processor acceleration techniques constantly increase t...
详细信息
The autonomous operation of an intelligent service robot in practical applications requires that the robot builds up a map of the environment by itself. A prerequisite for building large scale consistent maps is that ...
详细信息
In the development of embedded hard real-timesystems the ability to guarantee worst case execution times is gaining importance and complexity. The fast evolving processor acceleration techniques constantly increase t...
详细信息
In the development of embedded hard real-timesystems the ability to guarantee worst case execution times is gaining importance and complexity. The fast evolving processor acceleration techniques constantly increase the gap between a processor which uses the accelerations and one which does not. Modeling cache, pipelines and other parts of the processor gets increasingly difficult and time consuming. To circumvent this problem especially in the domain of rapid prototyping of embedded hard real-timesystems, we propose to lay more weight on measurement and less on modeling. By analyzing the control flow graph the compiler uses for optimization, a reduced control flow graph can be generated, which limits the paths to be measured. Using this information the object code of the program is being instrumented and then measured. By measuring all paths the reduced control flow graph indicates, predictability is achieved without using too pessimistic estimations.
In maxillofacial surgery the quality of the surgical outcome mainly depends on the experience of the operating surgeon. Thus we intend to support the surgeon before and during surgery in order to enhance the surgical ...
详细信息
ISBN:
(纸本)9051993862
In maxillofacial surgery the quality of the surgical outcome mainly depends on the experience of the operating surgeon. Thus we intend to support the surgeon before and during surgery in order to enhance the surgical results. On the one hand this implies the use of image processing, three dimensional modelling techniques and visualization techniques of medical image data, on the other hand planning systems, intraoperative navigation devices and surgical robots are needed. In this paper a complex expert system is presented, which uses a planner for generating treatment plans, an infrared navigation for monitoring both patient, robot, and surgical tool, and a surgical robotic system in order to work on bone. Special stress is laid on the architecture of the planning system, the structure of the treatment plans, and the intraopertative communication protocols.
The segmentation of medical images like CT or MRI scans represents a great challenge to researchers in computer vision, due to the variability of the individual anatomy and the different characteristics of the scannin...
详细信息
ISBN:
(纸本)9051993862
The segmentation of medical images like CT or MRI scans represents a great challenge to researchers in computer vision, due to the variability of the individual anatomy and the different characteristics of the scanning systems. As an anatomical knowledge base improves the recognition of structures in CT or MRI scans, we chose a knowledge based segmentation in our approach, which will be explained in the following.
暂无评论