Abstract: Methods and systems for multi-hypothesis object tracking for automated driving systems. One system includes an electronic processor configured to receive environment information and generate pseudo-measurement data associated with an object within an environment of the vehicle. The electronic processor is also configured to determine, based on the environment information and the pseudo-measurement data, a set of association hypotheses regarding the object. The electronic processor is also configured to determine, based on the set of association hypotheses, an object state of the object. The electronic processor is also configured to control the vehicle based on the determined object state.

Abstract: A method for fusing environment-related parameters includes providing at least one environment-related parameter of a first sensor system; providing at least one environment-related parameter of a second sensor system; providing at least one respective boundary condition that existed when the respective at least one environment-related parameter of the respective sensor system was determined; assigning the at least one respective boundary condition to the respective at least one environment-related parameter of the respective sensor system; providing an evaluation scheme which assigns weighting factors to the respective environment-related parameter of the respective sensor system depending on the respective boundary conditions; and fusing, with a fusion device, the at least one environment-related parameter of the first sensor system with the at least one environment-related parameter of the second sensor system according to the assigned weighting factors to determine the representation of the environment of

Abstract: A system for a reliability of objects for a driver assistance or automated driving of a vehicle includes a plurality of sensors that include one or more sensor modalities for providing sensor data for the objects. An electronic tracking unit is configured to receive the sensor data to determine a detection probability (p_D) for each of the plurality of sensors for each of the objects, to determine an existence probability (p_ex) for each of the plurality of sensors for each of the objects, and to provide vectors for each of the objects based on the existence probability (p_ex) for each contributing one of the plurality of sensors for the specific object. The vectors are provided by the electronic tracking unit for display as an object interface on a display device. The vectors are independent from the sensor data from the plurality of sensors.

Abstract: The invention relates to a device (1) for disintegrating particles (3) of a suspension with ultrasonic sound, the device (1) comprising: a channel (10) for a suspension, wherein the channel (10) comprises a particle-processing portion (12), at least one pump (20) configured and arranged to adjust a flow velocity of the suspension in the channel (10), at least one ultrasonic sound source (30), arranged such at the channel (10) that an ultrasonic field generated by the ultrasonic sound source (30) extends at least in the particle-processing portion (12) inside the channel (10), wherein the device (1) comprises an instrumentation and control system configured to regulate the flow velocity of the suspension such that particles (3) of the suspension are arrangeable in a predefined spatial particle distribution in the particle-processing portion (12) of the channel (10) by adjusting the flow velocity of the suspension with respect to an inertial force (40) acting on the suspension, wherein the inertial force (40

Abstract: A method for determining the reliability of detected and/or tracked objects for use in the driver assistance or the at least semiautomated driving of a vehicle. The method includes: a) receiving sensor data for the detected objects from a plurality of sensors, b) associating pieces of object existence information with each object, c) checking, considering, or representing redundancy of pieces of object existence information.

Abstract: Redundant environment perception tracking for automated driving systems. One example embodiment provides a surveillance system, the system including a plurality of sensors, a memory, and an electronic processor. The electronic processor is configured to receive, from the plurality of sensors, environmental information of a common field of view, generate, based on the environmental information, a plurality of hypotheses regarding an object within the common field of view, the plurality of hypotheses including at least one set of hypotheses excluding the environmental information from at least one sensor of a first sensor type, determine, based on a subset of the plurality of hypotheses, an object state of the object, wherein the subset includes the at least one set of hypotheses excluding the environmental information from the at least one sensor of the first sensor type, and track the object based on the object state that is determined.

Abstract: Methods and systems for controlling an autonomous vehicle. The method includes receiving sensor data from a plurality of sensors, determining, a plurality of probability hypotheses based upon the sensor data, and receiving metadata from at least one sensor of the plurality of sensors. An integrity level of at least one of the plurality of probability hypotheses is determined based upon the received metadata and at least one action is determined based upon the determined integrity level and at least one probability hypothesis of the plurality of probability hypotheses. The at least one action is then initiated by an electronic controller for the vehicle.

Abstract: A system and method for determining if a field calibration of a subject sensor associated with a vehicle is warranted, and calibrating the subject sensor using a sensor associated with another vehicle when calibration is warranted. Reference vehicles may perform predetermined maneuvers in order to provide additional measurements for use during calibration.

Abstract: The invention relates to a device (1) for disintegrating particles (3) of a suspension with ultrasonic sound, the device (1) comprising: a channel (10) for a suspension, wherein the channel (10) comprises a particle-processing portion (12), at least one pump (20) configured and arranged to adjust a flow velocity of the suspension in the channel (10), at least one ultrasonic sound source (30), arranged such at the channel (10) that an ultrasonic field generated by the ultrasonic sound source (30) extends at least in the particle-processing portion (12) inside the channel (10), wherein the device (1) comprises an instrumentation and control system configured to regulate the flow velocity of the suspension such that particles (3) of the suspension are arrangeable in a predefined spatial particle distribution in the particle-processing portion (12) of the channel (10) by adjusting the flow velocity of the suspension with respect to an inertial force (40) acting on the suspension, wherein the inertial force (40

Abstract: A system and method of sensor validation utilizing a sensor-fusion network. The sensor-fusion network may comprise a number of sensors associated with one or more vehicles having autonomous or partially autonomous driving functions.

Abstract: The invention relates to a device and a method for freeze-drying products, wherein products are arranged in a drying chamber (2) for a freeze-drying process, wherein energy is supplied to the products arranged in the drying chamber (2) by means of microwaves at least during some parts of the freeze-drying process, and wherein the microwaves are generated by at least one microwave module (6) based on semiconductor technology. The invention also relates to the use of a microwave module (6) based on semiconductor technology in a freeze-drying process.

Abstract: Redundant environment perception tracking for automated driving systems. One example embodiment provides a surveillance system, the system including a plurality of sensors, a memory, and an electronic processor. The electronic processor is configured to receive, from the plurality of sensors, environmental information of a common field of view, generate, based on the environmental information, a plurality of hypotheses regarding an object within the common field of view, the plurality of hypotheses including at least one set of hypotheses excluding the environmental information from at least one sensor of a first sensor type, determine, based on a subset of the plurality of hypotheses, an object state of the object, wherein the subset includes the at least one set of hypotheses excluding the environmental information from the at least one sensor of the first sensor type, and track the object based on the object state that is determined.

Abstract: Redundant environment perception tracking for automated driving systems. One example embodiment provides an automated driving system for a vehicle, the system including a plurality of sensors, a memory, and an electronic processor. The electronic processor is configured to receive, from the plurality of sensors, environmental information of a common field of view, generate, based on the environmental information, a plurality of hypotheses regarding an object within the common field of view, the plurality of hypotheses including at least one set of hypotheses excluding the environmental information from at least one sensor of a first sensor type, determine, based on a subset of the plurality of hypotheses, an object state of the object, wherein the subset includes the at least one set of hypotheses excluding the environmental information from the at least one sensor, and perform a vehicular maneuver based on the object state that is determined.

Abstract: Methods and systems for multi-hypothesis object tracking for automated driving systems. One system includes an electronic processor configured to receive environment information and generate pseudo-measurement data associated with an object within an environment of the vehicle. The electronic processor is also configured to determine, based on the environment information and the pseudo-measurement data, a set of association hypotheses regarding the object. The electronic processor is also configured to determine, based on the set of association hypotheses, an object state of the object. The electronic processor is also configured to control the vehicle based on the determined object state.

Abstract: Redundant environment perception tracking for automated driving systems. One example embodiment provides an automated driving system for a vehicle, the system including a plurality of sensors, a memory, and an electronic processor. The electronic processor is configured to receive, from the plurality of sensors, environmental information of a common field of view, generate, based on the environmental information, a plurality of hypotheses regarding an object within the common field of view, the plurality of hypotheses including at least one set of hypotheses excluding the environmental information from at least one sensor of a first sensor type, determine, based on a subset of the plurality of hypotheses, an object state of the object, wherein the subset includes the at least one set of hypotheses excluding the environmental information from the at least one sensor, and perform a vehicular maneuver based on the object state that is determined.

Abstract: Methods and systems for controlling an autonomous vehicle. The method includes receiving sensor data from a plurality of sensors, determining, a plurality of probability hypotheses based upon the sensor data, and receiving metadata from at least one sensor of the plurality of sensors. An integrity level of at least one of the plurality of probability hypotheses is determined based upon the received metadata and at least one action is determined based upon the determined integrity level and at least one probability hypothesis of the plurality of probability hypotheses. The at least one action is then initiated by an electronic controller for the vehicle.

Abstract: A system for a reliability of objects for a driver assistance or automated driving of a vehicle includes a plurality of sensors that include one or more sensor modalities for providing sensor data for the objects. An electronic tracking unit is configured to receive the sensor data to determine a detection probability (p_D) for each of the plurality of sensors for each of the objects, to determine an existence probability (p_ex) for each of the plurality of sensors for each of the objects, and to provide vectors for each of the objects based on the existence probability (p_ex) for each contributing one of the plurality of sensors for the specific object. The vectors are provided by the electronic tracking unit for display as an object interface on a display device. The vectors are independent from the sensor data from the plurality of sensors.

Abstract: A system and method of sensor validation utilizing a sensor-fusion network. The sensor-fusion network may comprise a number of sensors associated with one or more vehicles having autonomous or partially autonomous driving functions.

Abstract: A system and method for determining if a field calibration of a subject sensor associated with a vehicle is warranted, and calibrating the subject sensor using a sensor associated with another vehicle when calibration is warranted. Reference vehicles may perform predetermined maneuvers in order to provide additional measurements for use during calibration.