A method of protecting humans in an environment of a moving machine is provided that comprises the environment being monitored by means of a protective device that is configured to detect one or more kinematic parameters of a respective object located in the environment and controlling the moving machine in dependence on detected kinematic parameters of the respective object to initiate a protective measure. The protective equipment here detects the polarization properties and a movement modulation of the respective object in dependence on which the respective object is classified with respect to whether the respective object is a human. In particular only when the respective object was classified as a human, the protective equipment controls the moving machine to initiate the protective measure in dependence on detected kinematic parameters of this respective object.

A left front camera (11) is adapted to be mounted on a left front lamp (1LF) of a vehicle to obtain external information of at least ahead of the vehicle. A right front LiDAR sensor (12), a type of which is different from the camera (11), is adapted to be mounted on a right front lamp (1RF) of the vehicle to obtain external information of at least ahead of the vehicle.

A left front camera (11) is adapted to be mounted on a left front lamp (1LF) of a vehicle to obtain external information of at least ahead of the vehicle. A right front LiDAR sensor (12), a type of which is different from the camera (11), is adapted to be mounted on a right front lamp (1RF) of the vehicle to obtain external information of at least ahead of the vehicle.

A method for separating large and small targets from noise in radar IF signals, according to which a receiver receives, echo signals that are reflected from targets of different size (such as walls or ground), in response to the transmission of chirp FMCW radar signals, modulated (e.g., using Linear Frequency Modulation) in a predetermined modulation speed for a predetermined duration. The echo signals are down-converted by mixing them with the transmitted signal, to obtain received Intermediate Frequency (IF) signal, which is then sampled both in phase (I-channel) and in quadrature phase (Q-channel). The received IF signal passes a Fourier transform, to obtain power spectral components that belong to a relevant frequency domain, associated with an echo signal reflected from a real target, along with corresponding power spectral components that belong to an irrelevant, opposite frequency domain. The noise distribution and level in the relevant frequency domain is calculated by estimating the noise level in the irrelevant frequency domain and targets represented by a set of consequent relevant frequencies are detected by comparing the power spectral component at each relevant frequency to the calculated noise level and identifying power spectral components with likelihood, which is above a predetermined threshold.

A method for separating large and small targets from noise in radar IF signals, according to which a receiver receives, echo signals that are reflected from targets of different size (such as walls or ground), in response to the transmission of chirp FMCW radar signals, modulated (e.g., using Linear Frequency Modulation) in a predetermined modulation speed for a predetermined duration. The echo signals are down-converted by mixing them with the transmitted signal, to obtain received Intermediate Frequency (IF) signal, which is then sampled both in phase (I-channel) and in quadrature phase (Q-channel). The received IF signal passes a Fourier transform, to obtain power spectral components that belong to a relevant frequency domain, associated with an echo signal reflected from a real target, along with corresponding power spectral components that belong to an irrelevant, opposite frequency domain. The noise distribution and level in the relevant frequency domain is calculated by estimating the noise level in the irrelevant frequency domain and targets represented by a set of consequent relevant frequencies are detected by comparing the power spectral component at each relevant frequency to the calculated noise level and identifying power spectral components with likelihood, which is above a predetermined threshold.

A method for determining at least one object information item of at least one target object (18) which is sensed with a radar system (12), in particular of a vehicle (10), a radar system (12) and a driver assistance system (20) are described. In the method, transmission signals (32a, 32b) are transmitted into a monitoring range (14) of the radar system (12) with at least one transmitter (26a, 26b). Echoes, which are reflected at the at least one target object (18), of the transmission signals (32a, 32b) are received as received signals (34a, 34b) with at least one receiver (30), and if necessary are converted into a form which can be used by an electronic control and/or evaluation device (28). The received signals (34a, 34b) are subjected to at least one multi-dimensional discrete Fourier transformation. At least one target signal is determined from the result of the at least one Fourier transformation. At least one object information item is determined from the at least one target signal. At the transmitter end, at least one first transmission signal (32a) and at least one second transmission signal (32b) are generated from a frequency-modulated continuous wave signal. The at least one second transmission signal (32b) is encoded by means of phase modulation with respect to the at least one first transmission signal (32a), with the result that an at least temporary signal orthogonality between the at least one first transmission signal (32a) and the at least one second transmission signal (32b) is obtained. The at least one first transmission signal (32a) is emitted with at least one first transmitter (26a), and the at least one second transmission signal (32b) is emitted with at least one second transmitter (26b), simultaneously into the monitoring range (14) of the radar system (12). The at least one second transmission signal (32b) is emitted with regular transmission pauses of a predefined length.

A circuit includes an RF oscillator coupled in a phase-locked loop. The phase-locked loop is configured to receive a digital input signal, which is a sequence of digital words, and to generate a feedback signal for the RF oscillator based on the digital input signal. The circuit further includes a digital-to-analog conversion unit that includes a pre-processing stage configured to pre-process the sequence of digital words and a digital-to-analog-converter configured to convert the pre-processed sequence of digital words into the analog output signal. The circuit includes circuitry configured to combine the analog output signal and the feedback signal to generate a control signal for the RF oscillator. The pre-processing stage includes a word-length adaption unit configured to reduce the word-lengths of the digital words and a sigma-delta modulator coupled to the word-length adaption unit downstream thereof and configured to modulate the sequence of digital words having reduced word-lengths.

The present disclosure concerns a safety strip for a door, in particular for a door of a means of transport. The safety strip is elastic and/or flexible, has at least one receiving space, and comprises a sensor arrangement. The sensor arrangement is set up to emit electromagnetic radiation into a monitored area and to receive such radiation from the monitored area. The sensor arrangement is arranged in the receiving space in such a way that the safety strip completely encloses the sensor arrangement at least in one plane.

A vehicle having an array of sensors mounted entirely within and without protrusion beyond a pre-existing exterior surface of a vehicle, sufficient to give a substantially complete 360 degree perimeter sweep of data collection for operating an autonomously driven vehicle.

A vehicle having an array of sensors mounted entirely within and without protrusion beyond a pre-existing exterior surface of a vehicle, sufficient to give a substantially complete 360 degree perimeter sweep of data collection for operating an autonomously driven vehicle.