Abstract: A system for mitigating glare from at least one light source while driving a vehicle. The system includes determining an occurrence of a glare condition based on, at least in part, a visible light video stream generated by a visible light sensor. Upon determining the occurrence of the glare condition, indicia are presented at the vehicle display to assist in navigation of the vehicle.

Abstract: While a vehicle is off, an automatic trigger strategy activates a heating device that melts snow and ice off exterior vehicle sensors as it is needed. The automatic trigger strategy determines when to turn on the heating device while the vehicle is in a limited power state by using data pulled from memory or data obtained from a current data check. Collected, analyzed, and stored during key-off, data pulled from memory allows the invention to accurately choose the correct time to start the heating device without consuming additional power. If current data checks are required because data saved at key-off is not enough information to execute a decision, the invention may determine the least power consuming data checks. A power manager extends a threshold that is dependent on the energy reserve. Once the energy reserve is below the threshold, the power manager inactivates the heating device and voids manual commands.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire a first image with a visible and NIR light camera and acquire a second image with an infrared camera. The instructions can include further instructions to determine whether the second image includes a live human face by comparing a first infrared profile included in the second image with second infrared profile included in a previously acquired third image acquired with the infrared camera; and when the second image includes the live human face, output the first image.

Abstract: A steerable vehicle is configured to assist drivers who are traversing a snow-covered roadway. The vehicle uses perimeter sensors including a far-infrared camera to examine the roadway in front of the vehicle. The vehicle is equipped with a driver assistance system configured to operate the vehicle into a specified path or operate the vehicle by remaining in the specified path. The vehicle uses a controller to support a lane-keeping mode configured to be active while the roadway is snow-covered. The lane-keeping mode inspects images captured by the far-infrared cameras for tire tracks of previous vehicles and roadway edge features both which create compact snow and may assist in determining a skirting path or an adverse navigation area. The skirting path may be presented to the driver on a display or can be autonomously followed.

Abstract: First objects are detected in an infrared image from an infrared camera and second objects are detected in a color image from a color camera. The first objects are compared with the second objects to determine pairs of matching first objects and second objects. For each matching pair, a respective region of an output image is colorized by setting colors of pixels in the region based on colors of the pixels of the second object in the matching pair. The pixels in the region have locations corresponding to the locations of the pixels in the first object of the matching pair. When the colorizing is complete, pixels not in the colorized regions have intensities of the infrared image. The output image is a version of the infrared image with a region colorized according to the color image.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire a first image with a visible and NIR light camera and acquire a second image with an infrared camera. The instructions can include further instructions to determine whether the second image includes a live human face by comparing a first infrared profile included in the second image with second infrared profile included in a previously acquired third image acquired with a the infrared camera; and when the second image includes the live human face, output the first image.

Abstract: Real-time wind data for a location is determined based on a detected movement of an object relative to a vehicle. The real-time wind data includes a wind speed and a wind direction. Upon receiving stored wind data for the location from a remote computer, a crosswind risk is determined based on the real-time wind data and the stored wind data. A vehicle component is actuated to compensate for the crosswind risk.

Abstract: Real-time wind data for a location is determined based on a detected movement of an object relative to a vehicle. The real-time wind data includes a wind speed and a wind direction. Upon receiving stored wind data for the location from a remote computer, a crosswind risk is determined based on the real-time wind data and the stored wind data. A vehicle component is actuated to compensate for the crosswind risk.

Abstract: Method and apparatus are disclosed for vehicle camera signal strength indicator. An example vehicle includes a first communication module, a second communication module, and a hardware module with a processor and memory. The first communication module communicatively couples to a wireless camera. The second communication module communicatively couples to a mobile device. The second communication module is different than the first communication module. The hardware module (i) determines a metric of transmission quality based on a signal strength from the wireless camera, and (ii) sends the metric of transmission quality to the mobile device to provide feedback regarding a placement of the wireless camera on the vehicle.

Abstract: Method and apparatus are disclosed for vehicle camera signal strength indicator. An example vehicle includes a first communication module, a second communication module, and a hardware module with a processor and memory. The first communication module communicatively couples to a wireless camera. The second communication module communicatively couples to a mobile device. The second communication module is different than the first communication module. The hardware module (i) determines a metric of transmission quality based on a signal strength from the wireless camera, and (ii) sends the metric of transmission quality to the mobile device to provide feedback regarding a placement of the wireless camera on the vehicle.