UAV Multi-Sensor Mapping for Signal-Loss Return Navigation
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Solution Overview
Problem
Existing approaches for obtaining environmental data for unmanned aerial vehicles (UAVs) are often less than optimal, leading to inaccurate data that can negatively impact UAV functions.
Innovation Solution
The use of a plurality of different sensor types, including GPS, vision, and proximity sensors, to collect and combine data for generating accurate environmental maps, facilitating navigation, object recognition, and obstacle avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single sensor type is used to collect environmental data, then the device complexity is reduced, but the measurement precision and reliability of environmental data deteriorate
Solution Approach 1:
The patent combines multiple different sensor types (e.g., GPS, vision sensors, proximity sensors such as LIDAR and ultrasonic sensors) into a single sensor system. This merging allows the system to collect complementary environmental data from different modalities, thereby improving measurement precision and reliability while managing device complexity through integrated processing.
2Reliability
If multiple different sensor types are used to collect environmental data, then the measurement precision and reliability improve, but the device complexity increases
Solution Approach 1:
The sensor system is designed with multi-functionality, where a single integrated system performs multiple sensing functions using different sensor types. The system can selectively activate appropriate sensors based on environmental conditions and task requirements, improving reliability while managing complexity through unified control and processing architecture.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach improves the accuracy and reliability of environmental data, enhancing UAV functionality and safety in diverse environments and operating conditions.
Implementation Method 1
determining, using at least one of a plurality of sensors carried by the movable object, an initial location of the movable object
Implementation Method 2
receiving, using the at least one of the plurality of sensors, sensing data pertaining to the environment
Implementation Method 3
The proximity sensor can comprise at least one of the following: a lidar sensor, an ultrasonic sensor, or a time-of-flight camera sensor
Data Source
AI summary
A method for controlling a movable object in an environment includes in response to a loss of signal between the movable object and a terminal of the movable object, controlling the movable object to return, including: controlling the movable object to move from a current location to a first location, receiving, through at least one of a plurality of sensors, sensing data of the environment, and controlling the movable object to move from the first location to a second location based on the sensing data. The first location is previously traveled by the movable object. A movement path from the current location to the first location is associated with a movement path from the first location to the current location.