Aerial Hazard Detection Using Radar-Lidar-Camera Fusion
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Solution Overview
Problem
Current aerial vehicles lack effective methods to detect and avoid hazards in urban environments, particularly objects on or approaching the rear and side surfaces, limiting their safe operation and commercialization.
Innovation Solution
A fusion technology using radar, Lidar, and camera sensors to detect and recognize hazards by setting distinct detection ranges, generating detailed object information, and controlling flight to avoid dangerous objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional single-sensor detection is used, then device complexity is reduced, but detection precision and coverage are insufficient
Solution Approach 1:
The patent combines radar, Lidar, and camera sensors into an integrated multi-sensor detection system. Each sensor detects objects in its specific range (radar for far distance, Lidar for mid distance, camera for near distance), and their data is fused to achieve comprehensive detection coverage and high precision hazard identification, resolving the contradiction between detection precision and device complexity.
2Ease of operation
If pilot-only visual confirmation is used, then ease of operation is maintained, but detection coverage is limited to front view
Solution Approach 1:
The detection system operates autonomously without requiring pilot intervention. Multiple sensors automatically detect hazards in all directions (front, rear, sides), and the system independently processes sensor data to identify and warn about dangerous objects, maintaining operational simplicity while dramatically improving detection coverage beyond what a pilot could achieve visually.
3Reliability
If detailed hazard detection is implemented, then safety is improved, but response time may be increased
Solution Approach 1:
The system performs preliminary detection using radar for long-distance hazard identification, allowing early warning and sufficient response time. When objects enter mid-range, Lidar provides detailed detection, and in near-range, camera confirms hazards. This staged preliminary detection across different ranges ensures both comprehensive safety verification and adequate response time for avoidance maneuvers.
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
Enhances the ability to visualize flight routes and detect various hazards, providing real-time threat awareness and safe navigation in urban environments.
Implementation Method 1
acquiring first sensing data, second sensing data, and third sensing data detected by each of the first sensor, the second sensor, and the third sensor
Implementation Method 2
the second sensing data includes 3-dimensional (3D) point cloud data
Data Source
AI summary
Disclosed is a method of detecting a dangerous object for an aerial vehicle. The method includes setting an object detection area in air in which the aerial vehicle is in flight using a first sensor, a second sensor, and a third sensor; detecting an object in the set object detection area; generating detailed object information on the detected object; and determining whether the detected object is the dangerous object based on the generated detailed object information.