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检索条件"任意字段=Sensor Fusion IV: Control Paradigms and Data Structures"
37 条 记 录,以下是21-30 订阅
排序:
Fast Implementation of Volumetric Occupancy Grids  30
Fast Implementation of Volumetric Occupancy Grids
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30th IEEE Intelligent Vehicles Symposium (iv)
作者: Slutsky, Michael Dobkin, Daniel Gen Motors Israel Haifa Israel
Mapping vehicle surroundings using an occupancy grid is commonly a performance bottleneck in many automotive applications. In particular, three dimensional map generation becomes extremely complex because of the addit... 详细信息
来源: 评论
control of perception in dynamic vision
Control of perception in dynamic vision
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sensor fusion iv: control paradigms and data structures
作者: Christensen, Henrik I. Andersen, Claus S. Granum, Erik Aalborg Univ. Aalborg East Denmark
To achieve continuous operation and thus facilitate use of vision in a dynamic scenario, it is necessary to introduce a purpose for the visual processing. This provides information that may control the visual processi... 详细信息
来源: 评论
Centralized and distributed hypothesis testing with structured adaptive networks and perceptron-type neural networks
Centralized and distributed hypothesis testing with structur...
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sensor fusion iv: control paradigms and data structures
作者: Thomopoulos, Stelios C. Papadakis, I.N. Sahinoglou, Haralambos Okello, Nickens N. The Pennsylvania State Univ. University Park PA USA
Two different types of adaptive networks are considered for solving the centralized and distributed hypothesis testing problem. The performance of the two different types of networks is compared under different perfor... 详细信息
来源: 评论
Manifold traversing as a model for learning control of autonomous robots
Manifold traversing as a model for learning control of auton...
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sensor fusion iv: control paradigms and data structures
作者: Szakaly, Zoltan F. Schenker, Paul S. Jet Propulsion Lab. Pasadena CA USA
This paper describes a recipe for the construction of control systems that support complex machines such as multi-limbed/multi-fingered robots. The robot has to execute a task under varying environmental conditions an... 详细信息
来源: 评论
Conjugate Unscented Transform Based Methods for Uncertainty Quantification, Nonlinear Filtering, Optimal Feedback control and Dynamic Sensing
Conjugate Unscented Transform Based Methods for Uncertainty ...
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作者: Adurthi, Nagavenkat State University of New York at Buffalo
学位级别:Ph.D.
The fusion of observational data with numerical simulation promises to provide greater understanding of physical phenomenon than either approach alone can achieve. While traditional methods use Kalman filtering paradi...
来源: 评论
sensor planning in an active robotic work cell
Sensor planning in an active robotic work cell
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sensor fusion iv: control paradigms and data structures
作者: Abrams, Steven Allen, Peter K. Columbia Univ. New York NY USA
In this paper, we discuss techniques for extending the sensor planning capabilities of the machine vision planning system to include motion in a well-known environment. In a typical work cell, vision sensors are neede... 详细信息
来源: 评论
MVP sensor planning and modeling system for machine vision
MVP sensor planning and modeling system for machine vision
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sensor fusion iv: control paradigms and data structures
作者: Tarabanis, Kostantinos Tsai, Roger Y. IBM/Thomas J. Watson Research Cent. Yorktown Heights NY USA
In this paper we present an overview of the MVP sensor planning and modeling system that we have developed. MVP automatically determines camera viewpoints and settings so that object features of interest are simultane... 详细信息
来源: 评论
Using adaptive goal-directed sensing to overcome sensor uncertainty
Using adaptive goal-directed sensing to overcome sensor unce...
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sensor fusion iv: control paradigms and data structures
作者: Cameron, Alec Wu, Hsiang-Lung Philips Labs. Briarcliff Manor NY USA
The purpose of sensing is to collect information about the environment, with which the system interacts, to assist in performing tasks. For the system to be efficient and reliable in accomplishing tasks, sensing shoul... 详细信息
来源: 评论
On Ambiguities in Feature-Based Vehicle Localization and their A Priori Detection in Maps  30
On Ambiguities in Feature-Based Vehicle Localization and the...
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30th IEEE Intelligent Vehicles Symposium (iv)
作者: Hofstetter, Isabell Sprunk, Michael Schuster, Frank Ries, Florian Haueis, Martin Daimler AG Grp Res & MBC Dev Sindelfingen Germany
A major risk to reliable and accurate feature based vehicle localization lies in the data association. data association is the process of matching localization features that are extracted from the current sensor data ... 详细信息
来源: 评论
Selective monitoring
Selective monitoring
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sensor fusion iv: control paradigms and data structures
作者: Homem-de-Mello, Luiz S. Jet Propulsion Lab. Pasadena CA USA
While in NASA's earlier space missions such as Voyager the number of sensors was in the hundreds, future platforms such as the Space Station Freedom will have tens of thousands sensors. For these planned missions ... 详细信息
来源: 评论