LiDAR Fall Detection at Railroad Crossings Using Multi-Angle Beams
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Solution Overview
Problem
Existing surveillance systems struggle to accurately detect individuals who have fallen at railroad crossings due to transmission waves being output in a horizontal direction, which fails to reach persons lying on the ground.
Innovation Solution
Employing a LiDAR sensor that emits multiple laser beams with varying ranges and angles to detect objects, and an information processing device that determines a fall based on decreased detection by shorter-range laser beams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the transmission wave is output in a substantially horizontal direction to the ground, then the coverage area of the obstacle detection is improved, but the ability to detect fallen persons deteriorates
Solution Approach 1:
The transmission wave is divided into multiple beams with different inclination angles relative to the ground. This segmentation allows the system to cover a broader area while also detecting fallen persons, as different beams can detect objects at different positions and orientations.
Solution Approach 2:
The system transitions from a single horizontal transmission direction to multiple transmission directions including upward-inclined beams. This dimensional change in the transmission wave's angle allows the system to detect both standing and fallen persons effectively.
2Device complexity
If a single transmission wave direction is used, then the device complexity is reduced, but the detection precision for different object states deteriorates
Solution Approach 1:
The transmission wave is segmented into multiple beams with different inclination angles. This allows the system to maintain relatively simple device architecture while achieving high detection precision for both standing and fallen persons through the use of multiple detection angles.
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
Improves the accuracy of detecting individuals who have fallen at railroad crossings by utilizing the detection status of laser beams with different ranges to identify changes in detection patterns.
Implementation Method 1
a LiDAR sensor configured to emit a plurality of laser beams with different ranges to a surveillance area
Data Source
AI summary
Provided are a surveillance system, an information processing device, a fall detection method, and a non-transitory computer readable medium capable of improving the accuracy of detecting a person who has fallen down in a railroad crossing. A surveillance system according to the present disclosure includes a LiDAR sensor (10) that emits a plurality of laser beams with different ranges to a surveillance area, and outputs a detection signal indicating a detection status of an object by each of the laser beams, and an information processing device (20) that determines that the object has fallen down when the detection status by a laser beam with a shorter range than a predetermined range indicates that the object is detected and the number of laser beams detecting the object decreases.