26-06-2012, 03:59 PM
Embedded Vehicle Control System Based on Voice Processing Technologies
[attachment=25623]
INTRODUCTION
Applications of robotic vehicles were intensively studied in
recent years. The model-based guidance approaches are often
employed for navigation. However, the traditional method of
establishing environment models manual measurement of the
navigation environment is a time-consuming work. It is thus
desired to design a system for automatic learning of navigation
environments. Several environment learning systems were
developed to meet this requirement in the recent years [1-9]. A
vision-based approach to unsupervised learning of the indoor
environment for autonomous land vehicle navigation is
proposed [10]. And robot navigation of cluttered environments
is studied by preference-based fuzzy behaviors [11].
STRUCTURE OF VEHICLE
the hardware structure of the system sketch
map that is mainly divided into two parts: the left region is
SPCE061A streamline development board (that is ‘61’ board),
the right is the control panel of motors. Motor-controlled panel
is based on the function of the output signal from ‘61’ board to
start and stop the corresponding motor, and adjust the rotation
of the motors. By opening and closing the corresponding
motor would operate in different state with alternative
combinations, eventually to achieve the function of advance,
back, etc of car.
CONCLUSION
Modularity design is adopted for the each parts of vehicle.
There is a strong independence among the modules.
Aforementioned results have shown the responsiveness of the
car. Speech Recognition System possesses a higher
recognition rate in low noise environment under the
approximate interpolation options.
Along with the development of automation technology, the
artificial intelligence has become the focus in more and more
designs than ever before. The voice-controlled smart car
designed can be regarded as a model of Auto control. It could
be widely used in various automated control systems if
continuing to improve its function. When making some minor
changes, it could be used to control air-conditioner, video
recorders and other electrical appliances. Taking advantage of
voice processing of SPCE061A, the systems could be
composed as voice response systems, speech synthesis
systems and interactive toys promising a great market. Fig.15
is the picture of acoustic control robotic
[attachment=25623]
INTRODUCTION
Applications of robotic vehicles were intensively studied in
recent years. The model-based guidance approaches are often
employed for navigation. However, the traditional method of
establishing environment models manual measurement of the
navigation environment is a time-consuming work. It is thus
desired to design a system for automatic learning of navigation
environments. Several environment learning systems were
developed to meet this requirement in the recent years [1-9]. A
vision-based approach to unsupervised learning of the indoor
environment for autonomous land vehicle navigation is
proposed [10]. And robot navigation of cluttered environments
is studied by preference-based fuzzy behaviors [11].
STRUCTURE OF VEHICLE
the hardware structure of the system sketch
map that is mainly divided into two parts: the left region is
SPCE061A streamline development board (that is ‘61’ board),
the right is the control panel of motors. Motor-controlled panel
is based on the function of the output signal from ‘61’ board to
start and stop the corresponding motor, and adjust the rotation
of the motors. By opening and closing the corresponding
motor would operate in different state with alternative
combinations, eventually to achieve the function of advance,
back, etc of car.
CONCLUSION
Modularity design is adopted for the each parts of vehicle.
There is a strong independence among the modules.
Aforementioned results have shown the responsiveness of the
car. Speech Recognition System possesses a higher
recognition rate in low noise environment under the
approximate interpolation options.
Along with the development of automation technology, the
artificial intelligence has become the focus in more and more
designs than ever before. The voice-controlled smart car
designed can be regarded as a model of Auto control. It could
be widely used in various automated control systems if
continuing to improve its function. When making some minor
changes, it could be used to control air-conditioner, video
recorders and other electrical appliances. Taking advantage of
voice processing of SPCE061A, the systems could be
composed as voice response systems, speech synthesis
systems and interactive toys promising a great market. Fig.15
is the picture of acoustic control robotic