摘要:
Described herein is a device for detecting the attitude of motor vehicles, which comprises using at least one filter of a complementary type for computing an estimate (x̂ i ) of angles of attitude (θ, ϕ, ψ) of the motor vehicle as a function of input signals comprising an acceleration signal (A) and an angular-velocity signal (ω). According to the invention, the device (10) comprises a plurality of complementary filters (12 1 , ..., 12 n ), each tuned for operating in a specific dynamic range, and a supervisor unit (11), configured for recognising the dynamic range of the input signals (A, ω) and selecting a corresponding filter (12 i ) from said plurality of complementary filters (12 1 , ..., 12 n ).
摘要:
Described herein is an apparatus for active control of the sound of the engine of a land vehicle, which comprises a device for detecting a fundamental frequency (f E ) of the sound of the engine, and comprises a generator (12) of signals (w 2 , ..., w N ) representing sound waves that have spectral characteristics that depend upon the aforesaid fundamental frequency (f E ). The apparatus comprises a modulator (13; 23), which includes a module (132; 232) configured for applying a modulation to said waveforms (w 2 , ..., w N ) so as to control a value of roughness (R) or fluctuation strength of an audio signal (SG) for driving an actuator (31, 32), which generates an engine noise (RM).
摘要:
Described herein is a method for performing an active profiling of the sound emitted by a vehicle engine (11) that issues first acoustic waves (EW) along a primary path (13) of propagation of acoustic waves, in particular an exhaust duct, said method comprising: injecting (160), via an acoustic-wave diffuser (16), into a secondary propagation path (17) that merges in said primary path (13), second acoustic waves (MW), which are able to combine with said first acoustic waves (EW) in a merge point in said primary propagation path (13) and to generate (170) third resulting acoustic waves (RW); and generating (110, 120, 130, 140, 150) a driving signal (SP) for said diffuser (16) by regulating (110, 120, 130) the amplitude of harmonics of said driving signal (SP) as a function of reference acoustic waves (TW) and of a workpoint (WP) of the engine (11). This regulation operation (110, 120, 130) comprises calculating (110) equalization coefficients (α 1 , ..., α M ) to be applied to the amplitudes of said harmonics of said driving signal (SP) via a self-tuning procedure (200), which comprises comparing (260) said reference acoustic waves (TW) with a simulation (SRW) of said resulting waves (RW), said simulation (SRW) being obtained by applying (230) to a simulation (MSW) of the second acoustic waves (MW) a model (H) of the secondary propagation path (17).
摘要:
Described herein is a method for recognizing the driving style of a driver of a land vehicle, of the type that envisages acquiring (110) information (DI) on the dynamics of the vehicle from sensors and calculating, as a function of said information on the dynamics of the vehicle, a class of membership of the driving style ( stl ) of the driver. The method comprises: - analysing said information (DI) on the dynamics of the vehicle in order to identify start of an event of recognition of a manoeuvre (mvr) and to start (cmd) a procedure of recognition (30) of the event that comprises: - reconstructing (140) a manoeuvre (mvr) performed by the driver by computing components of displacement of the vehicle ( X g ( t ), Y g ( t )) as a function of the information on the dynamics of the vehicle (DI) arranged in a displacement time series ( mvr x , mvr y ) that represents a reconstruction of said manoeuvre ( mvr ) ; - identifying (140) the manoeuvre performed ( mvr ), by comparing said displacement time series ( mvr x , mvr y ) with models (tp) of time series corresponding to pre-determined manoeuvres stored in a database, in particular by applying a Dynamic-Time-Warping procedure; - defining (210) regions in a cartesian plane having as axes a lateral acceleration ( a lat ) and a longitudinal acceleration ( a long ), in particular manifolds (S1, S2, S3); - computing (220) cost functionals ( J cmft , J nrm , J sprt ) for the three driving styles, which calculate a distance between points defined by values of acceleration in said cartesian plane of said manoeuvre ( mvr ) and the boundary of each of the three manifolds (S1, S2, S3); and - recognising (230) the driving style ( stl ), on the basis of said cost functionals.