UAV 3D Object Detection via Range-Gating and Position Data
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Solution Overview
Problem
Current methods for object detection by unmanned aerial vehicles (UAVs) are limited in low-light conditions and fail to accurately generate three-dimensional representations of objects in various environmental conditions such as fog, rain, or snow, which hinders navigation and delivery processes.
Innovation Solution
The use of range-gating technology, combined with the known position of the UAV, to detect objects at defined distances by emitting a light pulse and collecting reflected light at specific times, allowing for the creation of three-dimensional representations of objects, even in challenging environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional object detection methods are used by UAVs, then the system is simple to operate, but detection accuracy deteriorates in low-light conditions and adverse weather
Solution Approach 1:
The patent introduces light pulses as an intermediary to enable object detection in adverse conditions. The UAV emits light pulses that reflect off objects, and sensors detect the reflected light to create three-dimensional representations. This intermediary light mechanism allows detection to proceed independently of ambient lighting conditions, resolving the contradiction between detection accuracy and environmental limitations.
Solution Approach 2:
The patent replaces traditional passive optical detection systems with an active illumination system using light pulses and time-gated sensors. This substitution transforms the detection mechanism from relying on ambient light (mechanical/optical passive system) to using controlled light emission and temporal gating (active system), enabling operation in low-light and adverse weather conditions while maintaining or improving detection accuracy.
2Measurement precision
If range-gating technology with light pulses is used, then object detection accuracy improves in adverse conditions, but device complexity increases
Solution Approach 1:
The patent employs periodic light pulse emission at controlled intervals to illuminate objects at different distances. By emitting pulses periodically and using time-gated sensors to detect reflections at specific time windows, the system achieves accurate depth measurement and three-dimensional object representation. This periodic action enables precise detection in adverse conditions while managing system complexity through rhythmic, predictable operation.
Solution Approach 2:
The patent changes the temporal parameter of light detection by using time-gating to measure the time of flight of light pulses. By controlling the emission timing and detection windows, the system extracts depth information from temporal variations in reflected light. This parameter change from spatial to temporal domain enables accurate object mapping in adverse conditions while using relatively simple sensor modifications.
3Measurement precision
If three-dimensional representations are generated from multiple positions, then object modeling accuracy improves, but loss of time increases due to multiple detection positions
Solution Approach 1:
The patent performs preliminary actions by capturing light reflections from multiple positions and storing them with associated position data before final processing. The system accumulates temporal and spatial information during flight, then processes this pre-collected data to generate three-dimensional representations. This preliminary data collection approach enables accurate modeling without requiring real-time processing at each position, reducing time loss.
Solution Approach 2:
The patent creates multiple copies of object representations from different UAV positions and combines them to form a complete three-dimensional model. Each position provides a different viewpoint copy of the object, and these copies are integrated through coordinate transformation and merging. This copying approach enables comprehensive modeling accuracy while allowing parallel data collection during UAV movement, minimizing time loss.
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 enables accurate object detection and three-dimensional modeling in low-light or adverse weather conditions, enhancing UAV navigation, landing, and delivery capabilities.
Implementation Method 1
emitting a light pulse and collecting reflected light at specific times
Implementation Method 2
range-gating technology, combined with the known position of the UAV, to detect objects at defined distances by emitting a light pulse and collecting reflected light at specific times
Data Source
AI summary
Described are systems, methods, and apparatus for detecting objects within a distance of an aerial vehicle, and developing a three-dimensional model or representation of those objects. Rather than attempting to use stereo imagery to determine distances and/or depth of objects, the described implementations utilize range-gating, or time-gating, and the known position of the aerial vehicle to develop a three-dimensional representation of objects. For example, when the aerial vehicle is at a first position it may use range-gating to detect an object at a defined distance from the vehicle. The aerial vehicle may then alter its position and use range-gating to detect an object that is the defined distance from the vehicle at the new position. This may be done at several different positions and the resulting information and aerial vehicle position information combined to form a three-dimensional representation of those objects.