Abstract: Systems and methods are provided for navigating an autonomous vehicle using reinforcement learning techniques.

Abstract: Systems and methods navigate a vehicle on a road at least partially covered with snow. In one implementation, a system may include at least one processor programmed to receive from an image capture device, a plurality of images captured of an environment forward of the vehicle, including an area where snow covers a road on which the vehicle travels, analyze at least one of the plurality of images to identify a first free space boundary on a first side of the vehicle and extending forward of the vehicle, a second free space boundary on a passenger side of the vehicle and extending forward of the vehicle, and a forward free space boundary forward of the vehicle and extending between the first free space boundary and the second free space boundary.

Abstract: A wearable apparatus is provided for capturing and processing images from an environment of a user. In one implementation, the wearable apparatus is used for identifying a contextual situation related to a wearer. The wearable apparatus includes a wearable image sensor configured to capture a plurality of images from an environment of the wearer. The wearable apparatus further includes at least one processing device. The at least one processing device is programmed to analyze the plurality of images to identify the contextual situation related to the wearer; determine information associated with the contextual situation; and cause the transmitter to transmit the determined information to a device paired with the wearable apparatus to cause the paired device to provide at least one alert to the wearer based on the determined information associated with the contextual situation.

Abstract: A wearable apparatus and method are provided for capturing image data. In one implementation, a wearable apparatus for capturing image data is provided. The wearable apparatus includes a plurality of image sensors for capturing image data of an environment of a user. Each of the image sensors is associated with a different field of view. The wearable apparatus also includes a processing device programmed to process image data captured by at least two of the image sensors to identify an object in the environment. The processing device is also programmed to identify a first image sensor, which has a first optical axis closer to the object than a second optical axis of a second image sensor. After identifying the first image sensor, the processing device is also programmed to process image data from the first image sensor using a first processing scheme, and process image data from the second image sensor using a second processing scheme.

Abstract: A wearable imaging apparatus is provided for capturing and processing images from an environment of a user. In one implementation, the wearable apparatus may be configured with a memory for storing privacy mode triggers and associated automatically variable privacy mode settings, and at least one processing device. The processing device may analyze the images captured by the wearable apparatus, and recognize the presence of at least one of the privacy mode triggers within the images. After recognizing the at least one trigger, the processing device may cause one or more adjustments to the wearable apparatus based on the privacy mode settings associated with the at least one trigger.

Abstract: Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver-assist system is provided for a vehicle. The system may include one or more image capture devices configured to acquire images of an area forward of the vehicle. The system may also include at least one processing device configured to receive, via one or more data interfaces, the images. The at least one processing device may be further configured to analyze the images acquired by the one or more image capture devices and cause at least one navigational response in the vehicle based on monocular and/or stereo image analysis of the images.

Abstract: Systems and methods are provided for navigating an autonomous vehicle using reinforcement learning techniques.

Abstract: A system for sparse map autonomous navigation of a vehicle along a road segment may include at least one processor. The at least one processor may be programmed to receive a sparse map of the road segment. The sparse map may have a data density of no more than 1 megabyte per kilometer. The at least one processor may be programmed to receive from a camera, at least one image representative of an environment of the vehicle, and determine an autonomous navigational response for the vehicle based on the analysis of the sparse map and the at least one image received from the camera.

Abstract: Devices and a method are provided for providing feedback to a user. In one implementation, the method comprises obtaining a plurality of images from an image sensor. The image sensor is configured to be positioned for movement with the user's head. The method further comprises monitoring the images, and determining whether relative motion occurs between a first portion of a scene captured in the plurality of images and other portions of the scene captured in the plurality of images. If the first portion of the scene moves less than at least one other portion of the scene, the method comprises obtaining contextual information from the first portion of the scene. The method further comprises providing the feedback to the user based on at least part of the contextual information.

Abstract: Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver-assist system is provided for a vehicle. The system may include one or more image capture devices configured to acquire images of an area forward of the vehicle. The system may also include at least one processing device configured to receive, via one or more data interfaces, the images. The at least one processing device may be further configured to analyze the images acquired by the one or more image capture devices and cause at least one navigational response in the vehicle based on monocular and/or stereo image analysis of the images.

Abstract: A device and method are provided for adjusting image capture settings. In one implementation, a wearable apparatus may include at least one wearable image sensor configured to capture a plurality of images from an environment of a user. The wearable apparatus may also include at least one processing device configured to identify, in at least one representation of at least one of the plurality of images, an existence of at least one visual trigger in the environment of the user, determine, based on a type of the at least one visual trigger, a value for at least one capturing parameter, cause the image sensor to capture at least one subsequent image according to at least the value of the at least one capturing parameter, determine a data size for storing at least one representation of the at least one subsequent image, and store, in a memory, the at least one representation of the at least one subsequent image.

Abstract: A system for navigating an autonomous vehicle using reinforcement learning techniques is provided. The system includes at least one processing device programmed to: receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a present navigational state associated with the host vehicle; select a second potential navigational action based on a determination that an expected reward associated with a fourth indicator is greater than an expected reward associated with a second indicator.

Abstract: A wearable apparatus is provided. The wearable apparatus may include: a wearable image sensor configured to capture a plurality of images from an environment of a user; and at least one processor. The at least one processor may be programmed to: determine from at least one of the plurality of images a presence of two differing objects indicated by the user; perform a look up of the two differing objects to ascertain identities of the two differing objects; perform a look up of descriptive information about the two differing objects; compare the descriptive information about the two differing objects; and cause a display of the information about the comparing of the two differing objects in a manner permitting the user to ascertain differences between the two differing objects.

Abstract: Various driver assistance systems mountable in a host vehicle and computerized methods for detecting a vertical deviation of a road surface. The driver assistance system includes a camera operatively connectible to a processor. Multiple consecutive image frames are captured from the camera including a first image of the road and a second image of the road. Based on the host vehicle motion, the second image is warped toward the first image to produce thereby a warped second image. Image points of the road in the first image and corresponding image points of the road in the warped second image are tracked. Optical flow is computed between the warped second image to the first image. The optical flow is compared with an optical flow based on a road surface model to produce a residual optical flow. The vertical deviation is computed from the residual optical flow.

Abstract: Systems and methods navigate a vehicle on a road with snow covering at least some lane markings and road edges. In one implementation, a system may include at least one processor programmed to receive from an image capture device, at least one environmental image forward of the vehicle, including areas where snow covers at least some lane markings and road edges, identify, based on an analysis of the at least one image, at least a portion of the road that is covered with snow and probable locations for road edges bounding the at least a portion of the road that is covered with snow, and cause the vehicle to navigate a navigational path that includes the identified portion of the road and falls within the determined probable locations for the road edges.

Abstract: Systems and methods are provided for navigating an autonomous vehicle using reinforcement learning techniques.

Abstract: Systems are provided for analyzing the effectiveness of an advertisement using information provided by a wearable camera system. In one implementation, a system includes a memory storing executable instructions, and at least one processing device programmed to execute the instructions to receive, from the wearable camera system, information derived from image data related to an advertisement in an environment of a user of the wearable camera system. The processing device of the system may be further configured to receive information derived from the image data related to activities of the user, and may be configured to identify, based on this received information, a product acquired by the user that is associated with the advertisement.

Abstract: A wearable apparatus is provided for capturing and processing images from an environment of a user. In one implementation, a system for facilitating collaboration between individuals includes a transceiver and at least one processing device. The at least one processing device is programmed to obtain and analyze one or more images captured by an image sensor included in a wearable apparatus. The at least one processing device is further programmed to detect, by the analysis, a visual trigger in an environment of a wearer of the wearable apparatus. The visual trigger may be associated with a collaborative action to be taken. The at least one processing device may be further programmed to use the transceiver to transmit an indicator relating to the visual trigger associated with the collaborative action to be taken.

Abstract: The present disclosure relates to systems and methods for directing the audio output of a wearable device having a plurality of speakers. In one implementation, the system may include an image sensor configured to capture one or more images from an environment of the user of the wearable apparatus, a plurality of speakers, and at least one processing device. The at least one processing device may be configured to analyze the one or more images to determine at least one indicator of head orientation of the user of the wearable apparatus, select at least one of the plurality of speakers based on the at least one indicator of head orientation, and output the audio to the user of the wearable apparatus via the selected at least one of the plurality of speakers.

Abstract: A navigational system for a host vehicle may comprise at least one processing device. The processing device may be programmed to receive a first output and a second output associated with the host vehicle; identify a representation of a target object in the first output; and determine whether a characteristic of the target object triggers a navigational constraint. If the navigational constraint is not triggered, the processing device may verify the identification of the representation of the target object based on a combination of the first output and the second output. If the navigational constraint is triggered, the processing device may verify the identification of the representation of the target object based on the first output; and in response to the verification, cause at least one navigational change to the host vehicle.