Abstract: A vehicle control system for moving a vehicle to a target location is disclosed. According to examples of the disclosure, a camera captures one or more images of a known object corresponding to the target location. An on-board computer having stored thereon information about the known object can process the one or more images to determine vehicle location with respect to the known object. The system can use the vehicle's determined location and a feedback controller to move the vehicle to the target location.

Abstract: A system that performs a method is disclosed. Image data from a first camera mounted on a vehicle is received, the vehicle including a first element configured to open into a first space external to the vehicle, and the image data indicative of motion of a first object during a first time period, the first object located outside of the first space. Whether the motion of the first object during the first time period indicates that the first object will interfere with operation of the first element during a second time period, after the first time period, is determined. In accordance with a determination that the motion of the first object indicates that the first object will interfere with the operation of the first element during the second time period, an action that avoids the interference is performed.

Abstract: A vehicle control system for moving a vehicle to a target location is disclosed. According to examples of the disclosure, a camera captures one or more images of a known object corresponding to the target location. An on-board computer having stored thereon information about the known object can process the one or more images to determine vehicle location with respect to the known object. The system can use the vehicle's determined location and a feedback controller to move the vehicle to the target location.

Abstract: A vehicle control system for moving a vehicle to a target location is disclosed. According to examples of the disclosure, a camera captures one or more images of a known object corresponding to the target location. An on-board computer having stored thereon information about the known object can process the one or more images to determine vehicle location with respect to the known object. The system can use the vehicle's determined location and a feedback controller to move the vehicle to the target location.

Abstract: A system that performs a method is disclosed. The system receives information about a map, which includes information about one or more zones in the map. While navigating a vehicle along a driving path within the map, the system receives information about the location of the vehicle in the map. The system estimates an error bounds of the location of the vehicle, and determines in which of the one or more zones in the map the error bounds is located within. In response to the determination: in accordance with a determination that the error bounds is located within a first zone in the map, the system causes the vehicle to perform a driving operation. In accordance with a determination that the error bounds is located within a second zone of the one or more zones in the map, the system causes the vehicle to perform a different driving operation.

Abstract: A method for autonomously controlling a vehicle is disclosed. In some examples, a vehicle can maneuver out of a parking space in an autonomous and unmanned operation. While parking, the vehicle can capture first one or more images of its surroundings and store the images in a memory included in the vehicle. Upon starting up, the vehicle can capture second one or more images of its surroundings and compare them to the first one or more images to determine if there is an object, person, or animal proximate to the vehicle, for example. In some examples, in accordance with a determination that there is no object, person, or vehicle present that was not present during parking, the vehicle can autonomously move from the parking space with or without a user present in the vehicle.

Abstract: A system is disclosed. The system includes one or more processors, and a memory including instructions, which when executed by the one or more processors, cause the one or more processors to perform a method.

Abstract: The present invention is generally directed to optical data processing or objects in proximity to an optical sensor or camera, such as a camera mounted on a vehicles. Image data is received from a camera mounted on a vehicle, the image data indicative of a motion of the camera with respect to a detected object within a proximity of the camera or the vehicle on which the camera may be mounted. An optical flow of the object in the image data is determined, and a height of the object is determined based on the determined optical flow.

Abstract: A vehicle control system for moving a vehicle to a target location is disclosed. According to examples of the disclosure, a camera captures one or more images of a known object corresponding to the target location. An on-board computer having stored thereon information about the known object can process the one or more images to determine vehicle location with respect to the known object. The system can use the vehicle's determined location and a feedback controller to move the vehicle to the target location.

Abstract: A system that performs a method is disclosed. Image data from a first camera mounted on a vehicle is received, the vehicle including a first element configured to open into a first space external to the vehicle, and the image data indicative of motion of a first object during a first time period, the first object located outside of the first space. Whether the motion of the first object during the first time period indicates that the first object will interfere with operation of the first element during a second time period, after the first time period, is determined. In accordance with a determination that the motion of the first object indicates that the first object will interfere with the operation of the first element during the second time period, an action that avoids the interference is performed.

Abstract: The present invention is generally directed to optical data processing or objects in proximity to an optical sensor or camera, such as a camera mounted on a vehicles. Image data is received from a camera mounted on a vehicle, the image data indicative of a motion of the camera with respect to a detected object within a proximity of the camera or the vehicle on which the camera may be mounted. An optical flow of the object in the image data is determined, and a height of the object is determined based on the determined optical flow.

Abstract: A method for autonomously controlling a vehicle is disclosed. In some examples, a vehicle can maneuver out of a parking space in an autonomous and unmanned operation. While parking, the vehicle can capture first one or more images of its surroundings and store the images in a memory included in the vehicle. Upon starting up, the vehicle can capture second one or more images of its surroundings and compare them to the first one or more images to determine if there is an object, person, or animal proximate to the vehicle, for example. In some examples, in accordance with a determination that there is no object, person, or vehicle present that was not present during parking, the vehicle can autonomously move from the parking space with or without a user present in the vehicle.

Abstract: A system that performs a method is disclosed. The system receives information about a map, which includes information about one or more zones in the map. While navigating a vehicle along a driving path within the map, the system receives information about the location of the vehicle in the map. The system estimates an error bounds of the location of the vehicle, and determines in which of the one or more zones in the map the error bounds is located within. In response to the determination: in accordance with a determination that the error bounds is located within a first zone in the map, the system causes the vehicle to perform a driving operation. In accordance with a determination that the error bounds is located within a second zone of the one or more zones in the map, the system causes the vehicle to perform a different driving operation.

Abstract: Camera-based autonomous parking is disclosed. An autonomous parking procedure can include detecting parking lines in images captured by a camera on a vehicle. The vehicle can be localized with respect to the parking lines based on location data for the vehicle from a GPS receiver and a location determination for the vehicle based on detected ends of the parking lines. The vehicle can further determine an occupancy state of one or more parking spaces formed by the two or more parking lines using a range sensor on the vehicle and select an empty space. A region of interest including the selected space can be identified and one or more parking lines of the selected space can be detected in an image of the region of interest. The vehicle can autonomously move to reduce errors between the location of the vehicle and the final parking position within the selected space.

Abstract: Displays for a vehicle can be used to display a composite feed from one or more cameras. In some examples, the vehicle display can be a rear-view mirror replacement display. In some examples, the vehicle can include feeds from a rear-view camera and two side-view cameras. The composite feed for the display can be adapted according to monitored conditions. For example, when a vehicle is detected in a blind spot, the composite feed can be adapted to add a feed from the corresponding side view camera. In some examples, when a vehicle is detected in the blind spot, the composite feed can be adapted to increase the proportion of the display area allocated to the side-view camera feed from the corresponding side-view camera. In some examples, when a vehicle is detected in the blind spot, the corresponding side-view camera view can be visually distinguished.

Abstract: A vehicle includes one or more dimmable mirrors, one or more cameras configured to capture images of surroundings of the vehicle, and one or more processors coupled to the one or more dimmable mirrors and the one or more cameras. The one or more processors are configured to identify one or more headlights of another vehicle in the captured images, determine whether the one or more headlights satisfy mirror dimming criteria, including a criterion that is satisfied when the one or more headlights are located in a respective region of the captured images, in accordance with a determination that the one or more headlights satisfy the mirror dimming criteria, dim the dimmable mirrors based on one or more characteristics of the one or more headlights, and in accordance with a determination that the one or more headlights do not satisfy the mirror dimming criteria, forgo dimming the dimmable mirrors.

Abstract: Camera-based autonomous parking is disclosed. An autonomous parking procedure can include detecting parking lines in images captured by a camera on a vehicle. The vehicle can be localized with respect to the parking lines based on location data for the vehicle from a GPS receiver and a location determination for the vehicle based on detected ends of the parking lines. The vehicle can further determine an occupancy state of one or more parking spaces formed by the two or more parking lines using a range sensor on the vehicle and select an empty space. A region of interest including the selected space can be identified and one or more parking lines of the selected space can be detected in an image of the region of interest. The vehicle can autonomously move to reduce errors between the location of the vehicle and the final parking position within the selected space.

Abstract: The present invention is generally directed to methods and systems of estimating visibility around a vehicle and automatically configuring one or more systems in response to the visibility level. The visibility level can be estimated by comparing two images of the vehicle's surroundings, each taken from a different perspective. Distance of objects in the images can be estimated based on the disparity between the two images, and the visibility level (e.g., a distance) can be estimated based on the farthest object that is visible in the images.

Abstract: A system is disclosed. The system includes one or more processors, and a memory including instructions, which when executed by the one or more processors, cause the one or more processors to perform a method.

Abstract: A system is disclosed. The system comprises one or more processors, and a memory including instructions, which when executed by the one or more processors, cause the one or more processors to perform a method. The method includes receiving image data from a first camera mounted on a vehicle, the vehicle including an element configured to open into a space external to the vehicle, and the image data indicative of a motion of the first camera with respect to an environment of the vehicle. Whether an object, external to the vehicle, will interfere with the opening of the element into the space is determined, the determination based on the motion, indicated in the image data, of the first camera with respect to the environment of the vehicle.