Abstract: Systems, methods, and non-transitory computer-readable media can receive a geometric map and a semantic map associated with a geographic area, the semantic map comprising semantic data associated with vehicle navigation. A first semantic position estimate associated with a first piece of semantic data contained in the semantic map is generated based on semantic data location information associated with the first piece of semantic data. A final position for the first semantic position estimate is received. One or more three-dimensional semantic labels are applied to the geometric map based on the final position of the first semantic position estimate. A warped semantic map is generated. Generating the warped semantic map comprises warping the semantic map based on the one or more three-dimensional semantic labels.

Abstract: Examples disclosed herein may involve a computing system that is operable to (i) receive first data of one or more geographical environments from a first type of localization sensor, (ii) receive second data of the one or more geographical environments from a second type of localization sensor, (iii) determine constraints from the first data and the second data, (iv) determine shared pose data associated with both of the first data and the second data using the constraints determined from both the first data and the second data by determining one or more sequences of common poses between respective poses generated from each of the first and second data, wherein the shared pose data provides a common coordinate frame for the first data and the second data, and (v) generate a map of the one or more geographical environments using the determined shared pose data.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a geometric map and a semantic map associated with a geographic area, the semantic map comprising semantic data associated with vehicle navigation. A first semantic position estimate associated with a first piece of semantic data contained in the semantic map is generated based on semantic data location information associated with the first piece of semantic data. A final position for the first semantic position estimate is received. One or more three-dimensional semantic labels are applied to the geometric map based on the final position of the first semantic position estimate. A warped semantic map is generated. Generating the warped semantic map comprises warping the semantic map based on the one or more three-dimensional semantic labels.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a first label at a first position in a first image captured from a vehicle, the first label indicating that a first object is depicted in the first image at the first position, wherein the first image is a two-dimensional image. The first object is identified in a three-dimensional coordinate space representative of an environment of the vehicle based on the first position of the first label within the first image. A second label is automatically generated at a second position in a second image captured from the vehicle based on simultaneous localization and mapping (SLAM) information associated with the vehicle. The second label indicates that the first object is depicted in the second image at the second position.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a geometric map and a semantic map associated with a geographic area, the semantic map comprising semantic data associated with vehicle navigation. A first semantic position estimate associated with a first piece of semantic data contained in the semantic map is generated based on semantic data location information associated with the first piece of semantic data. A final position for the first semantic position estimate is received. One or more three-dimensional semantic labels are applied to the geometric map based on the final position of the first semantic position estimate. A warped semantic map is generated. Generating the warped semantic map comprises warping the semantic map based on the one or more three-dimensional semantic labels.

Abstract: In one embodiment, a computing system accesses a number of features extracted from one or more first images. The extracted features are associated with at least one object captured in the first images. The first images are captured by a camera associated with a vehicle. The computing system identifies, in a reference map, reference features matching one or more of the features extracted from the first images. The reference features are associated with the at least one object captured in the first images. The computing system generates, for the camera, a calibration model by comparing the identified reference features in the reference map and the features that match the one or more reference features. The calibration model is used to calibrate second images captured by the camera associated with the vehicle.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a geometric map and a semantic map associated with a geographic area, the semantic map comprising semantic data associated with vehicle navigation. A first semantic position estimate associated with a first piece of semantic data contained in the semantic map is generated based on semantic data location information associated with the first piece of semantic data. A final position for the first semantic position estimate is received. One or more three-dimensional semantic labels are applied to the geometric map based on the final position of the first semantic position estimate. A warped semantic map is generated. Generating the warped semantic map comprises warping the semantic map based on the one or more three-dimensional semantic labels.

Abstract: In one embodiment, a computing system accesses a number of features extracted from one or more first images. The extracted features are associated with at least one object captured in the first images. The first images are captured by a camera associated with a vehicle. The computing system identifies, in a reference map, reference features matching one or more of the features extracted from the first images. The reference features are associated with the at least one object captured in the first images. The computing system generates, for the camera, a calibration model by comparing the identified reference features in the reference map and the features that match the one or more reference features. The calibration model is used to calibrate second images captured by the camera associated with the vehicle.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a first label at a first position in a first image captured from a vehicle, the first label indicating that a first object is depicted in the first image at the first position, wherein the first image is a two-dimensional image. The first object is identified in a three-dimensional coordinate space representative of an environment of the vehicle based on the first position of the first label within the first image. A second label is automatically generated at a second position in a second image captured from the vehicle based on simultaneous localization and mapping (SLAM) information associated with the vehicle. The second label indicates that the first object is depicted in the second image at the second position.

Abstract: Computer-implemented methods and systems for detecting loop closure in SLAM applications can include accessing one or more range measurement data scans that each provide a collection of consecutively observed spatial data obtained at a given location. A relative scan pose for each range measurement data scan can be determined. Frames from each of the one or more range measurement data scans then can be aligned to frames within one or more submaps based at least in part by the determined relative scan pose. An enhanced scan pose for each range measurement data scan and an enhanced submap pose for each submap can be periodically determined and used to identify one or more closed loops within the one or more submaps. An output indicative of the identified one or more closed loops can be provided, along with optionally generated floorplan maps and/or given location determinations.

Abstract: Embodiments provide a digital processor including an ambient portion extractor and a spatial effect processing stage. The ambient portion extractor is configured to extract an ambient portion from a multi-channel signal. The spatial effect processing stage is configured to generate a spatial effect signal based on the ambient portion of the multi-channel signal. The digital processor is configured to combine the multi-channel signal or a processed version thereof with the spatial effect signal.

Abstract: Embodiments provide a digital processor including an ambient portion extractor and a spatial effect processing stage. The ambient portion extractor is configured to extract an ambient portion from a multi-channel signal. The spatial effect processing stage is configured to generate a spatial effect signal based on the ambient portion of the multi-channel signal. The digital processor is configured to combine the multi-channel signal or a processed version thereof with the spatial effect signal.

Abstract: What is disclosed is a loudspeaker reproduction system for a vehicle having a first loudspeaker array and a second loudspeaker array. The first loudspeaker array is configured to generate a first stereo or virtual multi-channel sound field, wherein the first loudspeaker array is aligned towards a driver position of the vehicle. The second loudspeaker array is configured to generate a second stereo or virtual multi-channel sound field, wherein the second loudspeaker array is aligned towards a front passenger position of the vehicle.

Abstract: A system quantifies listener envelopment in a loudspeakers-room environment. The system includes a binaural detector that receives frequency modulated audible noise signals from multiple loudspeakers. The binaural detector generates detected signals that are analyzed to determine an objective listener envelopment. The envelopment is based on binaural activity of one or more sub-bands of the detected signal.

Abstract: A vehicle computing device and a method of providing a user interface to a vehicle system to control at least one function of the vehicle system are provided. The vehicle computing device communicates with a mobile client device over a wireless data connection. At the vehicle computing device, control instructions are provided. The control instructions comprise instructions for displaying at least one graphical control element at the client device to control the at least one function of the vehicle system. The vehicle computing device can be configured to transmit the control instructions to the client device over the wireless data connection.

Abstract: A system quantifies listener envelopment in a loudspeakers-room environment. The system includes a binaural detector that receives frequency modulated audible noise signals from multiple loudspeakers. The binaural detector generates detected signals that are analyzed to determine an objective listener envelopment. The envelopment is based on binaural activity of one or more sub-bands of the detected signal.

Abstract: In an electromagnetic actuator for a solenoid valve, the electromagnetic actuator has a magnetic coil and a first electrical connector adapted to receive a control signal which determines a switching position of the electromagnetic actuator. The electromagnetic actuator further has a second electrical connector which is provided directly on the electromagnetic actuator and is separate with respect to the first electrical connector. The magnetic coil and the first electrical connector are coupled by an electrical connection which is interrupted at the second electrical connector. Further proposed are a valve terminal having at least one solenoid valve, and a module arrangement.

Abstract: The invention relates to a sound system in a vehicle. The sound system comprises a first audio signal source providing a first audio signal and a second audio signal source providing a second audio signal. The sound system further comprises loudness determination unit is configured for determining a loudness of the first audio signal based on a psycho-acoustic model of a human hearing and a type information unit configured for establishing type information of the second audio signal. The sound system further comprises a control unit configured for individually selecting, for each of at least two playback zones, a mixing mode depending on the type of the second audio signal, wherein the mixing modes relate to a relation between signal output gains of the first and second audio signals.

Abstract: Various embodiments relate to a system for adapting a signal gain, which comprises a peak detector configured to receive an audio input signal containing consecutive signal blocks and to dynamically establish a current input signal level of the audio input signal, and a loudness determination unit configured to dynamically determine a perceived loudness of a current signal block of the audio input signal based on a psycho-acoustic model of a human hearing. Furthermore the system comprises a time constant generation unit configured to determine a time constant based on the perceived loudness of the current signal block and the perceived loudness of a preceding signal block, wherein the time constant describing a change of the signal gain. A gain determination unit is configured to determine the signal gain for the current signal block based on the time constant and the current input signal level.

Abstract: A vehicle user interface unit for a vehicle electronic device. The vehicle user interface unit includes a three-dimensional (“3D”) display unit having a display, and is configured to display an image for perception by a user as a virtual 3D image. The virtual 3D image is at least partially located in front of the display when the user observes the display. A display control unit is configured to control the generation of the image by the 3D display unit. The virtual 3D image includes a 3D object having at least two regions located in different spatial planes. Each region includes a plurality of interaction elements. An input unit is configured to detect the location of a user-controlled object and to interpret the detection of a predefined variation of the user-controlled object as a selection of one of the interaction elements in the virtual 3D image.