Abstract: Various embodiments include methods and vehicle processing systems implementing such methods for protecting vehicles from dangers caused by animals on or near the roadway. In various embodiments, a vehicle processing system may perform a recognition process to identify an animal detected in proximity to the vehicle, perform a plurality of simulations of outcomes for the vehicle and other vehicles resulting from stimulating the identified animal using multiple different stimuli modes of the vehicle signal devices in which each different stimuli mode is predicted to elicit different animal behaviors, select one of the different stimulus modes to be performed by vehicle signal devices to elicit a behavior of the identified animal based on the plurality of simulated outcomes for the vehicle and other vehicles, and control signal devices of the vehicle to perform the selected stimulus.

Abstract: This disclosure provides systems, methods, and devices that support machine learning techniques for vehicle guidance. In one aspect, a method is provided that includes receiving an image frame from an image sensor, determining a projected image frame to correct a vertical axis of the image frame, and generating a top-down representation of the environment based on the projected image frame. The projected image frame may be aligned with the top down representation's vertical axis and may be projected using a cylindrical family projection. The top-down representation may be produced by assembling depth and context matrices from vertically aligned pixels in the projected image frame.

Abstract: Various aspects of the present disclosure generally relate to autonomous driving and driver assistance systems. In some aspects, a device associated with an ego vehicle may obtain a series of images that depict a reference vehicle traveling along a road segment ahead of the ego vehicle. The device may estimate, based on the series of images, a size of the reference vehicle and/or a position of the reference vehicle relative to the ego vehicle. The device may track a trajectory of the reference vehicle along the road segment ahead of the ego vehicle based on the estimated size of the reference vehicle and/or the estimated position of the reference vehicle over the series of images. The device may estimate a surface geometry associated with the road segment ahead of the ego vehicle based on the tracked trajectory of the reference vehicle. Numerous other aspects are described.

Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing for vehicular monitoring operations. In a first aspect, a method of monitoring includes receiving first image data from a first camera oriented in a first direction with a first field of view facing a user; receiving second image data from a second camera oriented in a second direction different from the first direction, the second camera having a second field of view corresponding to a field of view of the user; determining a set of regions of interest based on the second image data; determining a gaze direction of the user based on the first image data; and determining an attentiveness score based on correspondence between the set of regions of interest and the gaze direction. Other aspects and features are also claimed and described.

Abstract: A vision system for a motor vehicle comprises an imaging apparatus (11) adapted to capture images (30) from a surrounding of the motor vehicle, and a data processing unit (14) adapted to perform image processing on images (30) captured by said imaging apparatus (11). The data processing unit (14) comprises a traffic sign detector (31) adapted to detect traffic signs in images (30) captured by said imaging apparatus (11) through image processing, a decision section (35) and a traffic sign estimator (36) that is adapted to estimate validity information (37) of one or more traffic signs in an image (30) captured by said imaging apparatus (11).

Abstract: A headlight control system (10) for a motor vehicle including, a controllable headlight (24) adapted to generate variable illumination of the vehicle environment, an imaging apparatus (11) adapted to capture images (100) from a region in front of the motor vehicle, and a data processing device (14) adapted to perform image processing of images (100) captured by the imaging apparatus (11) and to vary the light characteristics of the controllable headlight (24) depending on the image processing. A machine learning model (27) is implemented in the data processing device (14) which is trained to estimate and output an output signal (29) representing a desired illumination of the vehicle environment from one or more images (28) received as input from the imaging apparatus (11).

Abstract: A vision system (1) for a motor vehicle, includes a sensing device (40) adapted to sense data (99), a data processing device (7) adapted to process the sensed data (99), wherein the data processing device (7) includes a controller (30) adapted to switch a power mode of the data processing device (7) between a low-power mode and a high-power mode, wherein a high-power application (110) can be executed in the high-power mode. The data processing device (7), in a low-power mode, is adapted to execute a power mode classifier (20), and the power mode classifier (20) is adapted to classify any input data (99) from the sensing device (40) as requiring executing the high-power application (110) or not, and to output a high-power mode request (130) to the controller (30) to switch the power mode of the data processing device (7) from the low-power mode to the high-power mode in case the power mode classifier (20) has classified the input data (99) as requiring executing the high-power application (110).

Abstract: The present invention relates to the field of digital media recording such as video or audio, where compression is used to reduce the amount of data to save onto a data storage. In particular the invention relates to recording media, wherein the memory area required to store the media is unknown. The invention discloses a method for recording digital streamed media with a number of media frames in a memory by encoding each media frame into an encoded frame comprising a first number of sets of data, representing different characteristics of the media stream. The invention further relates to detecting if the data storage is full and if the data storage is full, storing new frames in the data storage previously occupied by the data sets representing the least prioritized characteristics of the previously stored encoded frames. The invention also relates to a corresponding media recorder and computer program.

Abstract: An object collision warning system for a motor vehicle comprises a sensing means (11) adapted to sense a surrounding of the motor vehicle and a processing means (14) adapted to detect objects in a surrounding of the motor vehicle by processing a signal provided by the sensing means (11), to perform an estimation of a collision probability between the vehicle and the detected object, and to output a corresponding signal in case the collision probability is non-negligible. The processing means (14) is adapted to determine, after having passed a curve, information describing the passed curve, to store the curve describing information, and to use the curve describing information of at least one previously passed curve for determining the vehicle path in a current curve in the estimation of the collision probability.

Abstract: A safety system for a motor vehicle having a sensing arrangement (11) providing sensor signals related to the surrounding environment of the vehicle, at least one safety means (13, 14, 15) for an occupant of the vehicle, and a control means (22) adapted to control the safety means (13, 14, 15) depending on signals from the sensing arrangement (11). The safety system (10) has an environment classifying means (23) adapted to classify the surrounding environment of the vehicle into different predetermined categories on the basis of signals from the sensing arrangement (11), and to adjust the control means (22) depending on the vehicle environment category determined by the environment classifying means (23).

Abstract: The present invention relates to the field of digital media recording such as video or audio, where compression is used to reduce the amount of data to save onto a data storage. In particular the invention relates to recording media, wherein the memory area required to store the media is unknown. The invention discloses a method for recording digital streamed media with a number of media frames in a memory by encoding each media frame into an encoded frame comprising a first number of quality layers, such as the quality layers in JPEG2000. The invention further relates to detecting if the data storage is full and if the data storage is full, storing new frames in the data storage previously occupied by the quality layer representing the highest resolution of the previously stored encoded frames. The invention also relates to a corresponding media recorder and computer program.

Abstract: The present invention relates to the field of digital media recording such as video or audio, where compression is used to reduce the amount of data to save onto a data storage. In particular the invention relates to recording media, wherein the memory area required to store the media is unknown. The invention discloses a method for recording digital streamed media with a number of media frames in a memory by encoding each media frame into an encoded frame comprising a first number of quality layers, such as the quality layers in JPEG2000. The invention further relates to detecting if the data storage is full and if the data storage is full, storing new frames in the data storage previously occupied by the quality layer representing the highest resolution of the previously stored encoded frames. The invention also relates to a corresponding media recorder and computer program.

Abstract: The present invention relates to the field of digital media recording such as video or audio, where compression is used to reduce the amount of data to save onto a data storage. In particular the invention relates to recording media, wherein the memory area required to store the media is unknown. The invention discloses a method for recording digital streamed media with a number of media frames in a memory by encoding each media frame into an encoded frame comprising a first number of sets of data, representing different characteristics of the media stream. The invention further relates to detecting if the data storage is full and if the data storage is full, storing new frames in the data storage previously occupied by the data sets representing the least prioritized characteristics of the previously stored encoded frames. The invention also relates to a corresponding media recorder and computer program.

Abstract: An object collision warning system for a motor vehicle comprises a sensing means (11) adapted to sense a surrounding of the motor vehicle and a processing means (14) adapted to detect objects in a surrounding of the motor vehicle by processing a signal provided by the sensing means (11), to perform an estimation of a collision probability between the vehicle and the detected object, and to output a corresponding signal in case the collision probability is non-negligible. The processing means (14) is adapted to determine, after having passed a curve, information describing the passed curve, to store the curve describing information, and to use the curve describing information of at least one previously passed curve for determining the vehicle path in a current curve in the estimation of the collision probability.

Abstract: A safety system for a motor vehicle having a sensing arrangement (11) providing sensor signals related to the surrounding environment of the vehicle, at least one safety means (13, 14, 15) for an occupant of the vehicle, and a control means (22) adapted to control the safety means (13, 14, 15) depending on signals from the sensing arrangement (11). The safety system (10) has an environment classifying means (23) adapted to classify the surrounding environment of the vehicle into different predetermined categories on the basis of signals from the sensing arrangement (11), and to adjust the control means (22) depending on the vehicle environment category determined by the environment classifying means (23).