UAV Map Data Acquisition With Adaptive Flight Height Control
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Solution Overview
Problem
The current method of acquiring map data for electronic maps requires a dedicated acquisition vehicle driven by a human, which is costly and time-consuming due to traffic constraints and limitations, as autonomous vehicles cannot operate without pre-generated maps.
Innovation Solution
A method and apparatus utilizing an unmanned aerial vehicle (UAV) to receive and process map data, recognizing objects and adjusting flight height based on predefined sequences to efficiently acquire map data, allowing flexible operation independent of ground traffic signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a dedicated acquisition vehicle is used to collect map data, then the map data can be acquired with high precision, but the acquisition cost and time increase significantly due to traffic constraints and the need for human drivers
Solution Approach 1:
The patent transitions from ground-based map data acquisition to aerial acquisition using UAVs. By changing the dimension from 2D ground level to 3D aerial space, the system bypasses ground traffic constraints entirely, enabling parallel acquisition of multiple road segments simultaneously from above, thus dramatically reducing acquisition time while maintaining data quality
Solution Approach 2:
The patent replaces the mechanical ground vehicle system with an aerial UAV system. This substitution eliminates the mechanical constraints of road networks, traffic signals, and vehicle speed limitations, allowing the acquisition system to operate independently of ground traffic conditions and achieve faster, more flexible data collection
2Measurement precision
If a dedicated acquisition vehicle is used to collect map data, then the map data can be acquired with high precision, but the acquisition cost increases due to human drivers and vehicle operations
Solution Approach 1:
The patent implements autonomous UAV operation with automated flight control, object recognition, and adaptive height adjustment. The system performs self-navigation, self-monitoring of acquisition quality, and self-adjustment of flight parameters, eliminating the need for human drivers and operators, thereby significantly reducing operational costs while maintaining high data precision
Solution Approach 2:
The patent replaces the expensive human-operated vehicle system with an autonomous aerial system. This substitution eliminates costs associated with human drivers, ground vehicle maintenance, fuel, and traffic compliance, replacing them with more efficient aerial platform operations that have lower operational overhead
3Ease of operation
If the UAV flies at a fixed height to acquire map data, then the acquisition process is simple, but the acquisition width is limited and cannot adapt to different road widths
Solution Approach 1:
The patent implements dynamic flight height adjustment where the UAV automatically changes its altitude based on real-time road width detection. The system transitions from a static fixed-height flight mode to a dynamic adaptive mode, where flight parameters are continuously adjusted to match the actual road geometry, enabling the acquisition width to adapt to different road conditions while maintaining operational simplicity through automation
4Measurement precision
If the UAV reduces flight height to improve map data quality, then the acquisition precision improves, but the flight time increases and energy consumption rises
Solution Approach 1:
The patent implements localized height adjustment where the UAV only reduces flight height when specifically needed for certain road sections or features requiring higher precision. For standard road segments, the UAV maintains a higher optimal flight altitude, thus achieving high data quality where necessary while minimizing overall flight time and energy consumption through selective rather than universal low-altitude flight
Data Source
AI summary
Embodiments of the present disclosure relate to a method and apparatus for acquiring data. The method includes: receiving map data acquired by a data acquisition apparatus installed on a target unmanned aerial vehicle; recognizing an object in the map data and determining a type of the object; determining, in response to determining that the type of the object matches at least one type in a preset type sequence, a location of the at least one type in the type sequence; and sending a flight height adjusting command to the target unmanned aerial vehicle, based on the location of the at least one type in the type sequence.