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

VSEngineering 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

Engineering Contradiction:
Improvedetection rangeVSAvoiddetection precision
Core Design Contradiction:
Length of stationary objectVSMeasurement precision

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.

Inventive Principle:
Principle #1Segmentation

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.

Inventive Principle:
Principle #5Merging (Combining)

2Measurement precision

If LIDAR devices are used to detect UAVs, then detection precision and location accuracy are improved, but detection range and coverage deteriorate

Engineering Contradiction:
Improvelocation accuracyVSAvoiddetection range
Core Design Contradiction:
Measurement precisionVSLength of stationary object

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.

Inventive Principle:
Principle #1Segmentation

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.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If counteracting measures are taken against detected UAVs, then neutralization effectiveness is improved, but risk of damaging UAVs and infrastructure deteriorates

Engineering Contradiction:
Improveneutralization effectivenessVSAvoiddamage risk
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

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.

Inventive Principle:
Principle #10Preliminary action

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.

Inventive Principle:
Principle #23Feedback

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

Methodology Applied
Scientific EffectLight reflection: Reflection

Implementation Method 2

utilizing LIDAR, video cameras, and directional radio antennas to detect, identify, and neutralize unauthorized UAVs

Methodology Applied
Scientific EffectLaser: Laser

Implementation Method 3

utilizing LIDAR, video cameras, and directional radio antennas to detect, identify, and neutralize unauthorized UAVs

Methodology Applied
Scientific EffectRadio frequency: Radar

Data Source

PatentEP3798907B1System and method for detecting unmanned aerial vehicles
Publication Date: 2025.09.17 AO KASPERSKY LAB
  • EP3798907B1 patent drawingFigure 1
  • EP3798907B1 patent drawingFigure 2
  • EP3798907B1 patent drawingFigure 3

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.