Black Sesame Technologies Inc.

Gopro, Inc.

Skydio, Inc.

Ruihui Di

Jizhang Shan

Yu Huang

Ashwani Arya

Mehran Ferdowsi

Nirmit Kamalbhai Shah

Zheng Qi

The position of a UAV within a three-dimensional space is changed based on a change in position of a controller of the UAV. First and second sensor data are produced using sensors of the controller to maintain stable altitude output for the UAV. The first sensor data indicates a geolocation of the controller, and the second sensor data indicates a barometric pressure of an environment in which the controller is located. The first and second sensor data are post-processed using a complementary filter based on respective altitude measurements of the first and second sensor data to determine an altitude of the controller. A position of the controller is determined within a three-dimensional space based on the altitude. Data indicative of the position of the controller within the three-dimensional space is then transmitted to the UAV to cause a change in a position of the UAV within the three-dimensional space.

Position-based control of unmanned aerial vehicles

A method of determining a vehicle position and a vehicle velocity, including receiving a camera image sequence based on a camera borne by a vehicle and determining a camera pose based on the camera image sequence. The method includes determining a global position system location based on a global position system receiver borne by the vehicle, determining an inertial movement signal based on an inertial movement unit borne by the vehicle and receiving a wheel encoder signal from a wheel of the vehicle. The method additionally includes determining at least one of the vehicle positions and the vehicle velocity based on at least two of the camera pose, the global position system location, the inertial movement signal and the wheel encoder signal in temporal synchronization.

Vehicle localization precision enhancement via multi-sensor fusion

A method of wheel encoder to camera calibration, including receiving a LiDAR (Light Detection and Ranging) signal, receiving a camera signal, receiving a wheel encoder signal, calibrating the camera signal to the LiDAR signal, calibrating the wheel encoder signal to the LiDAR signal and calibrating the camera signal to the wheel encoder signal based on the calibration of the camera signal to the LiDAR signal and the wheel encoder signal to the LiDAR signal.

LiDAR assisted wheel encoder to camera calibration

Growing community of inventors

Castro Valley, CA, United States of America

Ruihui Di