Systems and methods of processing crowdsourced navigation information for use in autonomous vehicle navigation are disclosed. A method may include processing, by a mapping server, crowdsourced navigation information from a plurality of vehicles obtained by sensors coupled to the plurality of vehicles, wherein the navigation information describes road lanes of a road segment; collecting data about landmarks identified proximate to the road segment, the landmarking including a traffic sign; generating, by the mapping server, an autonomous vehicle map for the road segment, wherein the autonomous vehicle map includes a spline corresponding to a lane in the road segment and the landmarks identified proximate to the road segment; and distributing, by the mapping server, the autonomous vehicle map to an autonomous vehicle for use in autonomous navigation over the road segment.

Systems and methods for improved transitioning and updating of navigations modes for multi-modal transportation routes are presented. In one embodiment, a method is provided that includes receiving a transportation route, which may include a first segment and a second segment. A first interface associated with the first segment may be displayed and may include a visual indicator of a rate of progress. A predicted travel time may be predicted, based on the rate of progress, to a starting location of the second segment. The visual indicator may be updated based on a comparison of the predicted travel time to a start time of the second segment.

Methods for providing a location of an object or objects of interest that may be performed by a processor of a computing device may include generating a map of an environment around the computing device by a first simultaneous location and mapping (SLAM) operation using information received from the optical sensor, identifying an object of interest in the environment of the computing device by an object recognition operation using information received from the optical sensor, determining a location of the object or objects of interest in the environment, and presenting the determined location of the object or objects of interest in the environment in response to a trigger event correlated to the object or objects of interest.

A navigation device includes a processor. The processor collects captured images that have been captured by an imaging device mounted at a vehicle, sets a destination, and determines a route to the destination based on the captured images that have been collected.

A system is disclosed for providing a history app. The system may have a source of information regarding artifacts at historical locations, and a user portal. The user portal may have at least one of a locating device and a positional sensor to generate at least one signal, and a camera to capture a view in an environment. The system may further include a network interface and a central processing unit in communication with the source and the user portal via the network interface. The central processing unit may be configured to provide a graphical user interface for display on the user portal and, responsive to input from a user, show the view captured by the camera on the graphical user interface and an image of at least one of the artifacts within the view based on a corresponding one of the historical locations and the at least one signal.

A method is disclosed for mitigating the risks associated with operating an autonomous or semi-autonomous vehicle by using calculated route traversal values to select less risky travel routes and/or modify vehicle operation. Various approaches to achieving this risk mitigation are presented. A computing device is configured to generate a database of route traversal values. This device may receive a variety of historical route traversal information, real-time vehicle information, and/or route information from one of more data sources and calculate a route traversal value for the associated driving route. Subsequently, the computing device may provide the associated route traversal value to other devices, such as a vehicle navigation device associated with the autonomous or semi-autonomous vehicle. An insurance company may use this information to help determine insurance premiums for autonomous or semi-autonomous vehicles by analyzing and/or mitigating the risk associated with operating those vehicles.

Provided are a method and apparatus for processing map information, a device, and a storage medium which relate to the field of computer technology and, in particular, to the fields of intelligent transportation and computer vision technology. The specific implementation includes that an object in an image for query is recognized to obtain an object recognition result and that a target point of interest matching the image for query is selected from at least one candidate point of interest of an electronic map according to the object recognition result.

The disclosure relates to interactive and adaptive systems and methods for tracking location-sensitive objects. An example method includes presenting a first set of user interfaces for receiving a visual image of the location-sensitive object, and using the image to determine an identifier and identify a geographic location. The example method also includes transmitting the identifier and the location to a remote computing device, and in response to receiving location-specific requirements. A second set of user interfaces may be generated and presented to guide a user to comply with the location-specific requirements.

A method for determining a location and pose of at least one trailer for hitching to a vehicle includes: receiving at least one image of at least one trailer generated by a camera of the vehicle; locating the at least one trailer in the at least one image; determining a plurality of keypoints associated with at least one trailer in the image using at least one machine learning model; determining a location of a coupler of the at least one trailer relative to the vehicle and a pose of the at least one trailer relative to the vehicle based on the computed keypoints; and determining a path for maneuvering the vehicle into position for hitching the at least one trailer to the vehicle based on the location of the coupler of the at least one trailer and the pose of the at least one trailer

Systems and methods navigate a vehicle by determining a free space region in which the vehicle can travel. In one implementation, a system may include at least one processor programmed to receive from an image capture device, a plurality of images associated with the environment of a vehicle, analyze at least one of the plurality of images to identify a first free space boundary on a driver 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. The first free space boundary, the second free space boundary, and the forward free space boundary may define a free space region forward of the vehicle. The at least one processor of the system may be further programmed to determine a navigational path for the vehicle through the free space region and cause the vehicle to travel on at least a portion of the determined navigational path within the free space region forward of the vehicle.