20240053750. Fitness And Sports Applications For An Autonomous Unmanned Aerial Vehicle simplified abstract (Skydio, Inc.)

From WikiPatents
Jump to navigation Jump to search

Fitness And Sports Applications For An Autonomous Unmanned Aerial Vehicle

Organization Name

Skydio, Inc.

Inventor(s)

Abraham Galton Bachrach of Emerald Hills CA (US)

Adam Parker Bry of Redwood City CA (US)

Matthew Joseph Donahoe of Redwood City CA (US)

Hayk Martirosyan of San Francisco CA (US)

Tom Moss of Los Altos CA (US)

Fitness And Sports Applications For An Autonomous Unmanned Aerial Vehicle - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240053750 titled 'Fitness And Sports Applications For An Autonomous Unmanned Aerial Vehicle

Simplified Explanation

The abstract describes sports and fitness applications for an autonomous unmanned aerial vehicle (UAV). The UAV can track a human subject using onboard sensors and generate performance metrics. It can autonomously maneuver to lead the human subject to meet performance goals and capture images of sporting events.

  • UAV can track a human subject using onboard sensors
  • Generates performance metrics for the human subject's activity
  • Autonomously maneuvers to lead the human subject to meet performance goals
  • Captures images of sporting events
  • Can make rule determinations while officiating a sporting event

Potential Applications

  • Sports training and coaching
  • Event photography and videography
  • Officiating sporting events

Problems Solved

  • Difficulty in tracking and analyzing human performance in sports and fitness activities
  • Limited perspectives and angles for capturing sporting events
  • Need for additional officiating support in sporting events

Benefits

  • Enhanced tracking and analysis of human performance
  • Versatile and dynamic perspectives for capturing sporting events
  • Improved accuracy and efficiency in officiating sports events


Original Abstract Submitted

sports and fitness applications for an autonomous unmanned aerial vehicle (uav) are described. in an example embodiment, a uav can be configured to track a human subject using perception inputs from one or more onboard sensors. the perception inputs can be utilized to generate values for various performance metrics associated with the activity of the human subject. in some embodiments, the perception inputs can be utilized to autonomously maneuver the uav to lead the human subject to satisfy a performance goal. the uav can also be configured to autonomously capture images of a sporting event and/or make rule determinations while officiating a sporting event.