Abstract: A system for rendering an augmented image frame includes a sensor, an interface, a memory, a processor, and a display. The sensor captures an environment image of an external environment of a vehicle that includes a physical object. The interface receives an augmentation class to be applied to the environment image frame. The memory stores an augmentation engine that causes the processor to receive the environment image frame and the augmentation class. The augmentation engine further causes the processor to determine an identity and location of the physical object, and retrieve a digital object associated with the physical object and the augmentation class. Subsequently, an augmented image frame is rendered including the digital object disposed at the location of the physical object in the external environment. Finally, the display depicts the augmented image frame to present the user with an aesthetically appealing synthetic view of the external environment.

Abstract: Methods and systems for assisting a vehicle in avoiding an object in a roadway and communicating associated information to trailing vehicles. Image data is sensed by a vehicle image sensor regarding a roadway. A computing system detects an object in the roadway based on the first image data. Feature extraction is performed to extract relevant features of the object, which is fed to an object classification model to determine a class of the object. A threat analysis is performed based on the determined class of the object, outputting a risk score. The first vehicle is commanded to take an action based on the risk score. The class of the object, the risk score, and/or the commanded action taken by the vehicle is communicated to a second vehicle that is approaching the object.

Abstract: A system for creating online vectorized maps for autonomous vehicles includes an image sensor and an electronic control unit (ECU). The image sensor captures a series of image frames. The ECU includes a memory, a central processing unit (CPU), and a transceiver. The memory stores a semantic segmentation deep learning model and a vectorization post-processing module as computer readable code. The CPU executes the semantic segmentation deep learning model and the vectorization post-processing module to output a vectorized map of an external environment of a vehicle. The transceiver uploads the vectorized map to a server such that the vectorized map can be accessed by a second vehicle that uses the vectorized map to traverse the external environment.

Abstract: A system for creating online vectorized maps for autonomous vehicles includes an image sensor and an electronic control unit (ECU). The image sensor captures a series of image frames. The ECU includes a memory, a central processing unit (CPU), and a transceiver. The memory stores a semantic segmentation deep learning model and a vectorization post-processing module as computer readable code. The CPU executes the semantic segmentation deep learning model and the vectorization post-processing module to output a vectorized map of an external environment of a vehicle. The transceiver uploads the vectorized map to a server such that the vectorized map can be accessed by a second vehicle that uses the vectorized map to traverse the external environment.

Abstract: Methods and systems for generating and displaying a virtual bottom view associated with a vehicle. Cameras generate images of a parking zone. A processor is programmed to generate image data associated with a first region of the parking zone that includes an object. Movement sensors generate movement data associated with movement of the vehicle during the time in which the image data is generated. A Structure from Motion (SfM) model generates a three-dimensional view associated with the object. Subsequently, when the object is out of view of the cameras, a synthesis model is executed to synthesize the current live view with the three-dimensional view. A virtual bottom view is displayed on a vehicle display during a parking event based on the synthesis, enabling a user to see a three-dimensional virtual view of the object when the object is not in the current field of view during the parking event.

Abstract: A system for rendering an augmented image frame includes a sensor, an interface, a memory, a processor, and a display. The sensor captures an environment image of an external environment of a vehicle that includes a physical object. The interface receives an augmentation class to be applied to the environment image frame. The memory stores an augmentation engine that causes the processor to receive the environment image frame and the augmentation class. The augmentation engine further causes the processor to determine an identity and location of the physical object, and retrieve a digital object associated with the physical object and the augmentation class. Subsequently, an augmented image frame is rendered including the digital object disposed at the location of the physical object in the external environment. Finally, the display depicts the augmented image frame to present the user with an aesthetically appealing synthetic view of the external environment.

Abstract: A method for generating an unobstructed bowl view of a vehicle that includes obtaining a plurality of images from a plurality of cameras disposed on the vehicle and determining a plurality of depth fields. The method further includes detecting a plurality of distorted objects in the plurality of images with a first machine-learned model that assigns a class distribution to the detected distorted object and estimating a distance of each distorted object from its associated camera using the plurality of depth fields. The method further includes assigning an object weight to each distorted object in the plurality of distorted objects and removing at least one distorted objects from the plurality of images. The method further includes replacing each of the at least one removed distorted objects with a representative background generated by a second machine-learned model and stitching and projecting the plurality of images to form the unobstructed bowl view.

Abstract: Methods and systems for assisting a vehicle in avoiding an object in a roadway and communicating associated information to trailing vehicles. Image data is sensed by a vehicle image sensor regarding a roadway. A computing system detects an object in the roadway based on the first image data. Feature extraction is performed to extract relevant features of the object, which is fed to an object classification model to determine a class of the object. A threat analysis is performed based on the determined class of the object, outputting a risk score. The first vehicle is commanded to take an action based on the risk score. The class of the object, the risk score, and/or the commanded action taken by the vehicle is communicated to a second vehicle that is approaching the object.

Abstract: Methods and systems for assisting a vehicle to park based on real-time parking spot availability data. First image data sensed by a first sensor mounted on a first vehicle is received, wherein the first image data corresponds to a parking zone. A digital map of the parking zone is displayed based on the first image data. The digital map is stored in a remote server for future recall. Second image data corresponding to the parking zone sensed from another vehicle is received. The digital map is updated in real-time based on the second image data, including indicating one or more parking spots as being occupied and/or unoccupied. The updated digital map is sent to a device associated with a third vehicle and displayed on a device associated therewith, enabling a user of the device to see real-time information regarding availability of parking spots in the parking zone.

Abstract: A method for generating an unobstructed bowl view of a vehicle that includes obtaining a plurality of images from a plurality of cameras disposed on the vehicle and determining a plurality of depth fields. The method further includes detecting a plurality of distorted objects in the plurality of images with a first machine-learned model that assigns a class distribution to the detected distorted object and estimating a distance of each distorted object from its associated camera using the plurality of depth fields. The method further includes assigning an object weight to each distorted object in the plurality of distorted objects and removing at least one distorted objects from the plurality of images. The method further includes replacing each of the at least one removed distorted objects with a representative background generated by a second machine-learned model and stitching and projecting the plurality of images to form the unobstructed bowl view.

Abstract: A method for generating an unobstructed bowl view of a vehicle that includes obtaining a plurality of images from a plurality of cameras disposed on the vehicle and determining a plurality of depth fields. The method further includes detecting a plurality of distorted objects in the plurality of images with a first machine-learned model that assigns a class distribution to the detected distorted object and estimating a distance of each distorted object from its associated camera using the plurality of depth fields. The method further includes assigning an object weight to each distorted object in the plurality of distorted objects and removing at least one distorted objects from the plurality of images. The method further includes replacing each of the at least one removed distorted objects with a representative background generated by a second machine-learned model and stitching and projecting the plurality of images to form the unobstructed bowl view.

Abstract: The present disclosure relates to a method, apparatus, and computer-readable storage medium for trajectory update using remote vehicle control. According to an embodiment, the above-described method, apparatus, and computer-readable storage medium of the present disclosure generally relate to identifying an obstacle blocking at least a portion of a road based on data received from one or more vehicle sensors, determining whether a path trajectory cannot be found to operate the vehicle with respect to the identified obstacle while the vehicle is operating in autonomous mode, sending, upon determination that the path trajectory cannot be found, a request to a remote controller to navigate the vehicle, operating the vehicle in remotely controlled mode, based upon instructions received from the remote controller, wherein a movement trajectory of the vehicle is recorded while being operated in the remotely controlled mode, and updating a navigational map based at least on the recorded movement trajectory.

Abstract: The present disclosure relates to a method, apparatus, and computer-readable storage medium for trajectory update using remote vehicle control. According to an embodiment, the above-described method, apparatus, and computer-readable storage medium of the present disclosure generally relate to identifying an obstacle blocking at least a portion of a road based on data received from one or more vehicle sensors, determining whether a path trajectory cannot be found to operate the vehicle with respect to the identified obstacle while the vehicle is operating in autonomous mode, sending, upon determination that the path trajectory cannot be found, a request to a remote controller to navigate the vehicle, operating the vehicle in remotely controlled mode, based upon instructions received from the remote controller, wherein a movement trajectory of the vehicle is recorded while being operated in the remotely controlled mode, and updating a navigational map based at least on the recorded movement trajectory.

Abstract: The invention relates to a support retainer for filter element with a base body, which extends along a longitudinal axis from an upper end to a lower end and a retainer wall is formed between the upper and the lower end, and wherein the retainer wall is formed perpendicular to the longitudinal axis in a ring-shaped at least in a cross section, and the retainer wall has a plurality of openings and the retainer wall is at least partially manufactured from a plastic, wherein the openings are rhombus-shaped.

Abstract: A filter, in particular for compressed gas systems, includes a filter top part having at least one inlet channel and at least one outlet channel and a filter bottom part having a filter element, wherein the filter top part has a pressure-resistant housing and an insert which is suited in an optimal manner to the course of the inlet and outlet channels.

Abstract: A filter, in particular for compressed gas systems, includes a filter top part having at least one inlet channel and at least one outlet channel and a filter bottom part having a filter element, wherein the filter top part has a pressure-resistant housing and an insert which is suited in an optimal manner to the course of the inlet and outlet channels.

Abstract: The invention concerns a method for removing skin from the bodies of animals, preferably of fowls, and a device for implementing said method. Known devices comprise skin-removing rollers, designed to enable height adjustment via a control cam. Said devices, however, have the disadvantage of not enabling the rollers to be accurately positioned on the bodies of animals of different shapes, in particular on bodies with curves. The invention aims at supplying a device and a method ensuring optimal positioning enabling the skin to be removed without damage. This is achieved by the fact that the inventive device comprises skin-removing rollers with two degrees of freedom, thereby enabling said rollers to be optimally positioned, independently of the size of the animal body.

Abstract: An apparatus for detaching wings from a poultry body is described in which the detachment is effected by means of three pairs of separating tools with varying arrangements and forms of knife blades. The poultry bodies are prepared as front halves and pass through the processing areas of the separating tools fixed on supporting saddles which are moved forward by conveying means and convey the poultry body with the neck portion leading and the breast portion uppermost. This "three-cut" separation procedure allows an extremely economical detachment of the wing and greatly increases the yield of breast fillet meat while avoiding bone splinters in the region of attachment of the wings.

Abstract: A method for mechanically detaching the meat from the bodies of slaughtered poultry in the form of fillets is performed with a starting product in the shape of a so called "front-half", i.e. a body portion obtained by a cross-section made obliquely through the poultry body. From this body portion the pelvis has been severed together with the legs, and by a further step the wings have been severed. The treatment in individual processing steps, the performance of which is limited to very narrowly restricted working areas by means of tools which can thus be adapted without compromise to the anatomically conditioned circumstances. Moreover, the sequence of the processing steps is selected such that the increasing destabilization of the poultry body is controlled with each processing step so that the respective subsequent working steps are influenced in a minimum manner possible. The result is a high yield in fillet meat of excellent quality.

Abstract: An apparatus for skinning fish includes a pressure pad carrying an oscillating knife blade and defining a presser surface which faces the circumferential surface of a skinning roller, the pressure pad being mounted to yield against spring force. The oscillating knife blade is guided in a pocket formed in the pressure pad. This arrangement makes it possible to skin fish fillets without any splitting of the tail portion.