Mobileye Vision Technologies

A system and method estimate a future path ahead of a current location of a vehicle. The system includes at least one processor programmed to: obtain an image of an environment ahead of a current arbitrary location of a vehicle navigating a road; obtain a trained system that was trained to estimate a future path on a first plurality of images of environments ahead of vehicles navigating roads; apply the trained system to the image of the environment ahead of the current arbitrary location of the vehicle; and provide, based on the application of the trained system to the image, an estimated future path of the vehicle ahead of the current arbitrary location.

Techniques are disclosed for using augmented reality (AR) displays to convey graphical representations of different types of information to a user. The information may be obtained from various sources such as objects and/or features that are dynamically detected by a vehicle or user-generated content. The graphical representations may also be based upon information that may be obtained via the use of crowdsourced AV map data. The graphical representations may be presented in as an AR view in a medium (such as a vehicle windshield) that matches a field of view of a user, thus accurately blending holographic information with the physical objects in the scene.

A method for host vehicle navigation is provided. The method includes receiving, from an entity remotely located relative to the host vehicle, a sparse map associated with at least one road segment to be traversed by the host vehicle, wherein the sparse map includes a plurality of mapped navigational landmarks and at least one target trajectory, wherein both the plurality of mapped navigational landmarks and the at least one target trajectory were generated based on drive information collected from a plurality of vehicles that traveled previously along the at least one road segment, receiving point cloud information from a LIDAR system onboard the host vehicle, the point cloud information being representative of distances to various objects in an environment of the host vehicle, comparing the received point cloud information with at least one of the plurality of mapped navigational landmarks in the sparse map to provide a LIDAR-based localization of the host vehicle relative to the at least one target trajectory, determining at least one navigational action for the host vehicle based on the LIDAR-based localization of the host vehicle relative to the at least one target trajectory, and causing the at least one navigational action to be taken by the host vehicle.

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …