Abstract: A method for training a vehicular occupant monitoring system includes accessing a frame image data captured by a camera disposed at a vehicle and viewing an occupant present in the vehicle. A first artificial visual characteristic for the occupant is generated. A first modified frame of image data is generated that includes the accessed frame with the first artificial visual characteristic overlaying a first portion of the occupant. A second artificial visual characteristic is generated for the occupant. The second artificial visual characteristic is different than the first artificial visual characteristic. A second modified frame of image data is generated that includes the accessed frame with the second v artificial visual characteristic overlaying a second portion of the occupant. The vehicular occupant monitoring system is trained using the first modified frame of image data and the second modified frame of image data.

Abstract: A method for labeling vehicular sensor data includes accessing sensor data captured by a plurality of sensors disposed at a vehicle. The method also includes accessing global positioning system (GPS) sensor data of the vehicle. For each time step of a plurality of time steps associated with the sensor data, vehicle position information is extracted from the GPS sensor data that represents a respective geographic location of the vehicle at the respective time step. For each time step of the plurality of time steps of the recording of sensor data, respective location-based information associated with the respective geographic location of the vehicle at the respective time step is obtained from a database. For each time step of the plurality of time steps of the recording of sensor data, the recording of sensor data at the respective time step is labeled using the respective obtained location-based information.

Abstract: A method for labeling events of interest in vehicular sensor data includes accessing sensor data captured by a plurality of sensors disposed at a vehicle, and providing a trigger condition including a plurality of threshold values. The trigger condition is satisfied when values representative of the sensor data satisfy each threshold value. An event of interest is identified when the trigger condition is satisfied at a point in time of the recording of sensor data. A visual indication of the event of interest is displayed on a graphical user interface. Visual elements derived from a portion of the sensor data representative of the event of interest are displayed on the graphical user interface. A label for the event of interest is received from a user. The label and the sensor data representative of the point in time are stored at a database time.

Abstract: A method for testing a vehicular driving assist system includes positioning the vehicle near a target object such that the target object is within a field of sensing of at least one sensor of the vehicle. The vehicle has an ECU having electronic circuitry and associated software, with the electronic circuitry of the ECU including a processor for processing data captured by the at least one sensor to detect presence of objects in the field of sensing of the at least one sensor. The vehicle is maneuvered away from the target object and, as the vehicle maneuvers away from the target object, the data captured by the at least one sensor is recorded. The recorded data is reversed to indicate the vehicle is approaching the target object. The reversed recorded data is provided as an input to the vehicular driving assist system to test the vehicular driving assist system.

Abstract: A vehicular cabin monitoring system includes an interior-viewing camera disposed at a vehicle and viewing a driver sitting at a driver seat of the vehicle and viewing at least one other seat of the vehicle. The interior-viewing camera is operable to capture image data. The vehicular cabin monitoring system, via processing of image data captured by the interior-viewing camera, detects an occupant present in the vehicle. The vehicular cabin monitoring system, via processing of image data captured by the interior-viewing camera, monitors the driver sitting at the driver seat of the vehicle. Control of the vehicle is adjusted based at least in part on the monitoring of the driver and the detected occupant.

Abstract: A method for testing a vehicular driving assist system includes providing a neural network and training the neural network using a database of images, with each image of the database of images including an image of a headlight or a taillight of a vehicle. The trained neural network is provided with an input image that does not include a headlight or a taillight. The neural network, using the input image, generates an output image, with the output image including an image of a headlight or taillight generated by the neural network. The output image is provided as an input to the driving assist system to test the driving assist system.

Abstract: A vehicular driving assist system includes an electronic control unit (ECU). When the equipped vehicle is driving in the autonomous mode, driving of the vehicle is controlled by the ECU without human intervention. When the vehicle is being driven in a non-autonomous mode, a particular driver at least partially drives the vehicle. The vehicular driving assist system learns a driving style of the particular driver and, when the vehicle is being driven in the non-autonomous mode by the particular driver, the system restricts learning of the driving style of the particular driver responsive to determination by the system that the particular driver is (i) driving the vehicle erratically and/or (ii) performing an illegal driving maneuver. When the vehicle is driving in the autonomous mode, and responsive to the particular driver being present in the vehicle, the vehicle drives in accordance with the learned driving style of the particular driver.

Abstract: A vehicular driving assistance system includes a camera and a LIDAR sensor disposed at a vehicle. An electronic control unit (ECU) includes at least one data processor. The system, responsive to processing of image data captured by the camera, determines a lane marker ahead of the vehicle. The system, responsive to processing of sensor data captured by the LIDAR sensor, determines a first portion of the lane marker forward of the vehicle and determines a second portion of the lane marker rearward of the vehicle. The system interpolates the lane marker between the first portion and the second portion. The system, responsive to the determined lane marker and the interpolated lane marker, estimates location of a front wheel of the vehicle relative to the lane marker.

Abstract: A vehicular driving assist system includes an electronic control unit (ECU). When the equipped vehicle is driving in the autonomous mode, driving of the vehicle is controlled by the ECU without human intervention. When the vehicle is being driven in a non-autonomous mode, a particular driver at least partially drives the vehicle. The vehicular driving assist system learns a driving style of the particular driver and, when the vehicle is being driven in the non-autonomous mode by the particular driver, the system restricts learning of the driving style of the particular driver responsive to determination by the system that the particular driver is (i) driving the vehicle erratically and/or (ii) performing an illegal driving maneuver. When the vehicle is driving in the autonomous mode, and responsive to the particular driver being present in the vehicle, the vehicle drives in accordance with the learned driving style of the particular driver.

Abstract: A vehicular communication system includes a communication device in a vehicle. Responsive to the communication device receiving an input from a vehicle system indicative of a service need, the communication device requests an input from the driver of the vehicle pertaining to a desired characteristic of a service provider that can address the service need. Responsive to the communication device receiving the input from the driver, the vehicular communication system determines a plurality of service providers that (i) can address the service need and (ii) has the desired characteristic. The communication device communicates a list of the determined service providers to the driver and, responsive to the driver selecting a service provider from the list, the vehicular communication system sets a navigation system of the vehicle to navigate to the selected service provider.

Abstract: A driving assistance system for a vehicle includes a control operable to control the vehicle in an autonomous or semi-autonomous mode. When operating in the autonomous mode, driving of the vehicle is controlled by the control without human intervention and, when operating in the semi-autonomous mode, an occupant of the vehicle at least partially drives the vehicle. The control learns a driving style of a particular occupant when the vehicle is being driven by that particular occupant and when the control is operating in the semi-autonomous mode. The control, when operating in the autonomous mode, controls the vehicle in accordance with the learned driving style of the particular occupant of the vehicle. Responsive to a determination of a characteristic of an occupant in the vehicle, the control, when operating in the autonomous, may adjust control of the vehicle irrespective of the learned driving style of the particular occupant.

Abstract: A communication system for a vehicle includes a communication device disposed in the vehicle. Responsive to the communication device receiving an input from a vehicle system indicative of a potential service need, the communication device requests an input from the driver of the vehicle pertaining to a desired characteristic of a service provider that can address the potential service need. Responsive to the communication device receiving the input from the driver, the communication system determines a plurality of service providers that (i) can address the potential service need and (ii) has the desired characteristic. The communication device communicates a list of potential service providers to the driver and, responsive to a selection by the driver of a selected service provider, the communication system sets a navigation system of the vehicle to the selected service provider.

Abstract: A method for testing a vehicular driving assist system includes providing a neural network and training the neural network using a database of images, with each image of the database of images including an image of a headlight or a taillight of a vehicle. The trained neural network is provided with an input image that does not include a headlight or a taillight. The neural network, using the input image, generates an output image, with the output image including an image of a headlight or taillight generated by the neural network. The output image is provided as an input to the driving assist system to test the driving assist system.

Abstract: A method for testing a vehicular driving assist system includes positioning the vehicle near a target object such that the target object is within a field of sensing of at least one sensor of the vehicle. The vehicle has an ECU having electronic circuitry and associated software, with the electronic circuitry of the ECU including a processor for processing data captured by the at least one sensor to detect presence of objects in the field of sensing of the at least one sensor. The vehicle is maneuvered away from the target object and, as the vehicle maneuvers away from the target object, the data captured by the at least one sensor is recorded. The recorded data is reversed to indicate the vehicle is approaching the target object. The reversed recorded data is provided as an input to the vehicular driving assist system to test the vehicular driving assist system.

Abstract: A camera simulation system or method or process for simulating performance of a camera for a vehicle includes providing a camera having a lens and imager and providing a learning algorithm. Image data is captured from a raw image input of the camera and the captured image data and raw image input are output from the camera. The output image data and the raw image input are provided to the learning algorithm. The learning algorithm is trained to simulate performance of the lens and/or the imager using the output captured image data and the raw image data input. The performance of the lens and/or the imager is simulated responsive to the learning algorithm receiving raw images.

Abstract: A method for determining trailer angle includes determining angles of a trailer hitch relative to a data recording device via an angle measuring device while the trailer hitch pivots about a hitch ball of the device. While the trailer hitch pivots about the hitch ball of the device, trailer hitch information is determined responsive to processing of captured image data and responsive to determined angles of the trailer hitch. After determining trailer hitch information, data representative of the determined information is provided to an electronic device, which is disposed at a vehicle having a rear backup camera that has a field of view that encompasses a hitch ball of the vehicle and at least a portion of a hitch of a trailer hitched to the vehicle. Using the provided data, and responsive to processing of captured image data, an angle of the trailer relative to the vehicle is determined.

Abstract: A camera simulation system or method or process for simulating performance of a camera for a vehicle includes providing a camera having a lens and imager and providing a learning algorithm. Image data is captured from a raw image input of the camera and the captured image data and raw image input are output from the camera. The output image data and the raw image input are provided to the learning algorithm. The learning algorithm is trained to simulate performance of the lens and/or the imager using the output captured image data and the raw image data input. The performance of the lens and/or the imager is simulated responsive to the learning algorithm receiving raw images.

Abstract: A method for determining trailer angle includes determining angles of a trailer hitch relative to a data recording device via an angle measuring device while the trailer hitch pivots about a hitch ball of the device. While the trailer hitch pivots about the hitch ball of the device, trailer hitch information is determined responsive to processing of captured image data and responsive to determined angles of the trailer hitch. After determining trailer hitch information, data representative of the determined information is provided to an electronic device, which is disposed at a vehicle having a rear backup camera that has a field of view that encompasses a hitch ball of the vehicle and at least a portion of a hitch of a trailer hitched to the vehicle. Using the provided data, and responsive to processing of captured image data, an angle of the trailer relative to the vehicle is determined.

Abstract: A driving assistance system for a vehicle includes a control operable to control the vehicle in an autonomous or semi-autonomous mode. When operating in the autonomous mode, driving of the vehicle is controlled by the control without human intervention and, when operating in the semi-autonomous mode, an occupant of the vehicle at least partially drives the vehicle. The control learns a driving style of a particular occupant when the vehicle is being driven by that particular occupant and when the control is operating in the semi-autonomous mode. The control, when operating in the autonomous mode, controls the vehicle in accordance with the learned driving style of the particular occupant of the vehicle. Responsive to a determination of a characteristic of an occupant in the vehicle, the control, when operating in the autonomous, may adjust control of the vehicle irrespective of the learned driving style of the particular occupant.

Abstract: A communication system for a vehicle includes a communication device disposed in the vehicle. Responsive to the communication device receiving an input from a vehicle system indicative of a potential service need, the communication device requests an input from the driver of the vehicle pertaining to a desired characteristic of a service provider that can address the potential service need. Responsive to the communication device receiving the input from the driver, the communication system determines a plurality of service providers that (i) can address the potential service need and (ii) has the desired characteristic. The communication device communicates a list of potential service providers to the driver and, responsive to a selection by the driver of a selected service provider, the communication system sets a navigation system of the vehicle to the selected service provider.