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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
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Laser and Radar Based Robotic Perception (Paperback)
Loot Price: R2,057
Discovery Miles 20 570
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Laser and Radar Based Robotic Perception (Paperback)
Series: Foundations and Trends (R) in Robotics
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A crucial component of perception is the understanding of
information which has passed through a sensor's detection process.
In the world of autonomous robotics this takes the form of sensor
understanding and modelling, feature detection, predicting
measurements/ observations, feature matching and sensor data
representation. Laser and Radar Based Robotic Perception presents a
review of autonomous robotic perception, exploring recent work from
the autonomous robotics and tracking communities in general as well
as from the authors' own experiences. Throughout the text,
experiments and results are derived from the authors' experiences
with laser and radar-based sensors. The concepts used in the
experiments, and conclusions drawn from them, are then compared
with state-of-the-art perception methods in a review type fashion.
Laser and Radar Based Robotic Perception also reviews and presents
methods which cope probabilistically with missed detections (the
possibility of a sensor not detecting an object of interest),
object spatial uncertainty (in which detected objects are given
uncertain range and/or bearing values due to sensor noise) and
false alarms (the possibility of a sensor reporting a detection,
due to noise, when in fact nothing (or nothing of interest) is
present). Environment measurement models based on these phenomena
are therefore analyzed. A further concept, often over-looked in the
robotic, but apparent in the tracking literature, is that of
estimating the correct number of features in an environment. Recent
work which advocates the joint estimation of map features with
respect to their number as well as location is reviewed.
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