Nissan North America, Inc.

Naoki Kojo

Daisuke Saito

Siddharth Thakur

Nikhil Lele

Nicolas F Meuleau

Mauro Della Penna

A parking lot mapping system includes a server. The server is remote from a plurality of vehicles, and includes a receiver, an electronic controller and a storage device. The receiver is configured to receive data transmitted from the vehicles, the data including a route traveled and a stopping position of each of the vehicles. The electronic controller is configured to determine that each vehicle has entered a parking lot, and form a map of the parking lot including parking lot routes and parking spots based on accumulation of the data including the stopping position of each vehicle and the route traveled by each of the vehicles after determination that each vehicle vehicles has entered the parking lot. The storage device is configured to store the map of the parking lot.

Parking lot mapping system

A system for calculating the sensitivity of a camera in a vehicle control system includes an internal parameter system, a controller, and a storage device. The internal parameter system is configured to determine an image coordinate of a first pixel in an image. The controller is configured to determine a point on the ground corresponding to the first pixel in the image based on external parameters. The controller is further configured to move the vehicle in a virtual world a predetermined distance, identify a second pixel in the image to which the point of the ground corresponds after the vehicle is moved in the virtual world, and calculate the sensitivity of the camera based on the distance between the position of the first pixel and the position of the second pixel. The storage device is configured to store the sensitivity of the camera.

Vehicle position estimation system

A parking lot mapping system includes a receiver, a storage device and a controller. The receiver is configured to receive data transmitted from a plurality of vehicles, the data including a parking event and a position of each vehicle of the plurality of vehicles. The storage device is configured to store the data received by the receiver. The controller is programmed to determine that each vehicle of the plurality of vehicles is in a parking lot based on the parking event and to calculate a parking lot route based on accumulation of the data including the position of each vehicle of the plurality of vehicles.

A method and apparatus for autonomous vehicle routing and navigation using passenger docking locations are disclosed. Autonomous vehicle routing and navigation using passenger docking locations may include an autonomous vehicle identifying map information representing a vehicle transportation network, the vehicle transportation network including a primary destination and a docking location, wherein identifying the map information includes identifying the map information such that the map information includes docking location information representing the docking location. The autonomous vehicle may identify the docking location as a target docking location for the primary destination based on the map information, generate, based on the map information, route information representing a route for the autonomous vehicle to traverse the vehicle transportation network from an origin in the vehicle transportation network to the target docking location, and traverse the vehicle transportation network from the origin to the target docking location in accordance with the route information.

Autonomous vehicle routing and navigation using passenger docking locations

A vehicle localization system includes a first localization system, a second localization system, and a controller. The first localization system is configured to determine a location of the vehicle using a first set of data. The second localization system is configured to determine a location of the vehicle using a second set of data. The controller is configured to switch from the first localization system to the second localization system when the first set of data is less than a predetermined amount.

Vehicle localization system

A method and apparatus for passenger docking location selection are disclosed. Passenger docking location selection may include an autonomous vehicle identifying transportation network information representing a vehicle transportation network, the vehicle transportation network including a primary destination, wherein identifying the transportation network information includes identifying the transportation network information such that it includes docking location information representing a plurality of docking locations, wherein each docking location corresponds with a respective location in the vehicle transportation network, and such that at least one docking location is associated with the primary destination, determining a target docking location for the primary destination based on the transportation network information and pedestrian travel time, identifying a first route from an origin to the target docking location in the vehicle transportation network using the transportation network information, and traveling from the origin to the target docking location using the first route.

Passenger docking location selection

A method and apparatus for marker aided autonomous vehicle localization are disclosed. Marker aided autonomous vehicle localization may include an autonomous vehicle identifying transportation network information, identifying an origin, identifying a destination, generating a plurality of candidate routes from the origin to the destination based on the transportation network information, wherein each route from the plurality of routes indicates a distinct combination of road segments and lanes, generating an action cost probability distribution for each action in each candidate route, generating a route cost probability distribution based at least in part on the action cost probability distribution, identify an optimal route from the plurality of candidate routes based at least in part on the route cost probability distribution, and operate the autonomous vehicle to travel from the origin to the destination using the optimal route.

Marker aided autonomous vehicle localization

A method and apparatus for associating passenger docking locations with destinations are disclosed. Associating passenger docking locations with destinations may include an autonomous vehicle identifying transportation network information representing a vehicle transportation network, including a primary destination, wherein identifying the transportation network information includes identifying the transportation network information such that the transportation network information includes docking location information representing a plurality of docking locations, wherein each docking location corresponds with a respective location in the vehicle transportation network, and such that at least one docking location from the plurality of docking locations is associated with the primary destination. The autonomous vehicle may determine a target docking location from the plurality of docking locations for the primary destination based on the transportation network information, identify a route from an origin to the target docking location, and travel from the origin to the target docking location using the route.

Associating passenger docking locations with destinations

A method and apparatus for autonomous vehicle routing and navigation using passenger docking locations are disclosed. Autonomous vehicle routing and navigation using passenger docking locations may include an autonomous vehicle identifying vehicle transportation network information representing a vehicle transportation network, the vehicle transportation network including a primary destination, wherein identifying the vehicle transportation network information includes identifying the vehicle transportation network information such that it includes docking location information representing a plurality of docking locations, wherein each docking location corresponds with a respective location in the vehicle transportation network. The autonomous vehicle may determine a target docking location for the primary destination based on the vehicle transportation network information, identify a route from an origin to the target docking location in the vehicle transportation network using the vehicle transportation network information, and travel from the origin to the target docking location using the route.

A method and apparatus for associating passenger docking locations with destinations using vehicle transportation network partitioning are disclosed. Associating passenger docking locations with destinations using vehicle transportation network partitioning may include an autonomous vehicle identifying transportation network information representing a vehicle transportation network, the vehicle transportation network including a primary destination, wherein identifying the transportation network information includes identifying the transportation network information such that it includes docking location information representing a plurality of docking locations, wherein each docking location corresponds with a respective location in the vehicle transportation network, such that at least one docking location is associated with the primary destination based on pedestrian travel time, determining a target docking location, identifying a route from an origin to the target docking location in the vehicle transportation network using the transportation network information, and traveling from the origin to the target docking location using the route.

Associating passenger docking locations with destinations using vehicle transportation network partitioning

A method and apparatus for associating parking areas with destinations may include a vehicle identifying transportation network information including a primary destination and parking area information representing a plurality of parking areas, such that the parking area information includes automatically generated parking area association information describing an association between at least one parking area and the primary destination. The vehicle may determine a target parking area from the plurality of parking areas for the primary destination based on the transportation network information, and identify a route from an origin to the target parking area in the vehicle transportation network using the transportation network information. The vehicle may include a trajectory controller configured to operate the vehicle to travel from the origin to the target parking area using the route.

Associating parking areas with destinations

A system for determining a position of a vehicle includes a camera, a marker, a storage device, an external parameter system, and a controller. The camera is configured to capture an image of an area adjacent the vehicle, the image including an edge. The marker detection device is configured to detect a marker in the area adjacent the vehicle. The storage device is configured to store map data, the stored map data including edge data. The positioning system is configured to determine the location of the vehicle relative to the stored map data. The controller is configured to combine the marker detected by the marker detection device and the edge in the image captured by the camera, and compare the combined marker detected by the marker detection device and the edge in the image captured by the camera to the stored map data.

Growing community of inventors

Sunnyvale, CA, United States of America

Naoki Kojo