UAV Detection With LIDAR–Camera Fusion for Precise Identification
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Solution Overview
Problem
Existing systems struggle to effectively detect and counteract civilian unmanned aerial vehicles (UAVs) without causing damage, particularly in populated areas, due to their small size and varying altitudes and speeds, and existing radar and LIDAR systems are inadequate for precise detection and identification.
Innovation Solution
An integrated system comprising a primary detection module, recognition module, control and classification module, and neutralization module, utilizing LIDAR, video cameras, and directional radio antennas to detect, identify, and neutralize unauthorized UAVs without damaging them, employing machine learning and neural networks for classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If radar systems are used to detect UAVs, then detection range is improved, but detection precision and identification capability deteriorate due to small size of UAVs
Solution Approach 1:
The detection system is divided into multiple specialized modules: LIDAR for precise ranging and location determination, video cameras for visual identification and classification, and radar for extended range detection. Each module segment performs a specific function, collectively resolving the contradiction between range and precision.
Solution Approach 2:
The patent combines multiple detection technologies (LIDAR, video cameras, radar) into an integrated system that merges their complementary strengths. LIDAR provides precise distance measurement, video cameras enable visual identification, and radar extends detection range, together achieving both long-range detection and high precision identification.
2Measurement precision
If LIDAR devices are used to detect UAVs, then detection precision and location accuracy are improved, but detection range and coverage deteriorate
Solution Approach 1:
The system segments the detection task by assigning LIDAR the specialized function of precise ranging and location determination for nearby targets, while radar handles extended range detection. This segmentation allows LIDAR to operate at its optimal precision range without being constrained by the need for long-range detection.
Solution Approach 2:
Video cameras serve as an intermediary between LIDAR and the final identification system. LIDAR provides precise location data, video cameras capture visual information at that location, and the combined data enables both precise location accuracy and extended effective coverage through the camera's visual range.
3Reliability
If counteracting measures are taken against detected UAVs, then neutralization effectiveness is improved, but risk of damaging UAVs and infrastructure deteriorates
Solution Approach 1:
The system performs preliminary classification and identification of the UAV using video cameras and LIDAR data before any counteracting action is taken. This preliminary action enables the selection of appropriate neutralization methods and ensures that countermeasures are only applied to unauthorized UAVs, reducing the risk of damaging authorized aircraft or infrastructure.
Solution Approach 2:
The system continuously monitors UAV behavior, classification confidence, and response to counteracting measures, using this feedback to adjust the intensity and type of neutralization applied. This feedback mechanism ensures that counteracting measures are effective while minimizing damage risk by escalating or de-escalating responses based on real-time conditions.
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
The system provides effective detection, classification, and neutralization of unauthorized UAVs in populated areas, ensuring they are removed from protected airspace without causing harm to infrastructure or UAVs, using a combination of laser probing, video cameras, and radio suppression.
Implementation Method 1
Lidar is a device designed to detect, identify, and determine the range of objects using light reflections
Implementation Method 2
utilizing LIDAR, video cameras, and directional radio antennas to detect, identify, and neutralize unauthorized UAVs
Implementation Method 3
utilizing LIDAR, video cameras, and directional radio antennas to detect, identify, and neutralize unauthorized UAVs
Data Source
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AI summary
A method for detecting unmanned aerial vehicles (UAV) includes detecting an unknown flying object in a monitored zone of air space. An image of the detected unknown flying object is captured. The captured image is analyzed to classify the detected unknown flying object. A determination is made, based on the analyzed image, whether the detected unknown flying object comprises a UAV.