Autonomous Drone Image Navigation Without GPS or Multi-Sensor Fusion
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Solution Overview
Problem
Autonomous drones face challenges in stabilization and navigation, particularly after takeoff, due to size and power constraints, and the need for safe and effective navigation without GPS or multiple sensor readings.
Innovation Solution
The autonomous drone takes an image of a face or person to determine distance and stabilize, using sensors to assess wind speed and navigate to waypoints, completing a flight plan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the autonomous drone uses GPS and multiple sensor readings for navigation, then navigation accuracy is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent extracts and removes the GPS dependency and multiple sensor requirements from the navigation system. Instead of using complex multi-sensor fusion, the invention relies on a single camera to capture images and determine positional information through image processing alone, thereby simplifying the device while maintaining navigation capability
Solution Approach 2:
The patent replaces the mechanical/sensor-based navigation system with an optical/image-based system. By substituting physical sensors and GPS hardware with image capture and computational image analysis, the system achieves navigation functionality with reduced hardware complexity and power consumption
2Measurement precision
If the autonomous drone uses GPS and multiple sensor readings for navigation, then navigation accuracy is improved, but power consumption increases
Solution Approach 1:
The patent removes power-intensive components (GPS receiver, multiple sensors) from the system and replaces them with a more energy-efficient single-camera solution that achieves navigation through image processing, thereby reducing overall power consumption while maintaining navigation accuracy
Solution Approach 2:
The patent substitutes power-consuming hardware sensors with an optical/image-based navigation approach, where a camera captures environmental features and computational algorithms determine position and orientation, resulting in lower energy consumption compared to traditional sensor fusion systems
3Measurement precision
If the autonomous drone stabilizes by hovering and taking multiple images, then stabilization accuracy is improved, but flight time is reduced
Solution Approach 1:
The patent performs preliminary stabilization actions during the takeoff phase by hovering and capturing images to establish initial positional reference. This preliminary action allows the drone to achieve accurate stabilization quickly, after which it can proceed with the flight plan without prolonged hovering, thereby preserving flight time
Solution Approach 2:
The patent applies partial stabilization hovering - just enough image capture during takeoff to establish initial position and achieve required stabilization accuracy, rather than continuous hovering throughout the flight. This partial action approach achieves the necessary stabilization while minimizing time loss and preserving overall flight duration
Data Source
AI summary
Systems, computer readable medium and methods for autonomous drone stabilization and navigation are disclosed. Example methods include capturing an image using an image capturing device of the autonomous drone, processing the image to identify an object, and navigating the autonomous drone relative to the object to one or more waypoints. The autonomous drone navigates initially based on a relative location of the autonomous drone from the object. The autonomous drone determines a distance from the object based on an estimated size of the object and a number of pixels of an image sensor the object occupies. The autonomous drone determines a height above a ground to assist in navigation. Additionally, the autonomous drone hovers to determine a windspeed.


