Faraday & Future Inc.

Sowmya Gade

Aziz Umit Batur

Bibhrajit Halder

Oliver Max Jeromin

Paul Alan Theodosis

Michael Venegas

Anupama Kuruvilla

Daedeepya Yendluri

A system for use in a vehicle, the system comprising one or more sensors, one or more processors operatively coupled to the one or more sensors, 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 comprising capturing a current point cloud with the one or more sensors, determining an estimated location and an estimated heading of the vehicle, selecting one or more point clouds based on the estimated location and heading of the vehicle, simplifying the current point cloud and the one or more point clouds, correlating the current point cloud to the one or more point clouds, and determining an updated estimate of the location of the vehicle based on correlation between the current point cloud and the one or more point clouds.

System and method for lidar-based vehicular localization relating to autonomous navigation

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.

Methods and systems for camera-based autonomous parking

A system that performs a method is disclosed. At a first time, characteristics about an area surrounding a vehicle are determined using a first sensing grid including first sensing cells of a first size. At a second time, after the first time, whether sensing cell size data satisfies sensing cell size change criteria is determined. In response to the determination: in accordance with a determination that the sensing cell size data satisfies the sensing cell size change criteria, characteristics about the area surrounding the vehicle are determined using a second sensing grid including second sensing cells of a second size, different from the first size. In accordance with a determination that the sensing cell size data does not satisfy the sensing cell size change criteria, characteristics about the area surrounding the vehicle are determined using the first sensing grid including the first sensing cells of the first size.

Vehicle sensing grid having dynamic sensing cell size

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Torrance, CA, United States of America

Sowmya Gade