@article{
 title = {EMS-Vision: A Perceptual System for Autonomous Vehicles},
 type = {article},
 year = {2002},
 identifiers = {[object Object]},
 keywords = {Active vision system,Autonomous vehicles,Control of perception and action,Dynamic machine vision,Knowledge representation,System architecture},
 pages = {48-59},
 volume = {3},
 id = {ff7559b9-fcfe-3019-9d3f-9025cf828b43},
 created = {2015-12-08T18:29:32.000Z},
 file_attached = {true},
 profile_id = {9e66d949-92d0-3e13-8d8c-2d6d8d76d924},
 group_id = {48a053e8-b494-3bde-aa03-1071d9e56815},
 last_modified = {2015-12-08T18:32:36.000Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Gregor2002},
 abstract = {The paper gives a survey on the new Expectation-based Multifocal
Saccadic vision (EMS-vision) system for autonomous vehicle guidance
developed at the Universitat der Bundeswehr Munchen (UBM). EMS-Vision is
the third generation dynamic vision system following the 4-D approach.
Its core element is a new camera arrangement, mounted on a high
bandwidth pan-tilt head for active gaze control. Central knowledge
representation and a hierarchical system architecture allow efficient
activation and control of behavioral capabilities for perception and
action. The system has been implemented on commercial off-the-shelf
(COTS) hardware components in both UBM test vehicles VaMoRs and VaMP
Results from autonomous turnoff maneuvers, performed on army proving
grounds, are discussed},
 bibtype = {article},
 author = {Gregor, Rudolf and Lützeler, M. and Pellkofer, M. and Siedersberger, K. H. and Dickmanns, Ernst Dieter},
 journal = {IEEE Transactions on Intelligent Transportation Systems},
 number = {1}
}

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