3D Occupant Detection Using Seat Row Map Upper-End Lines
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Solution Overview
Problem
Existing occupant detection devices struggle to accurately detect occupants when they are not seated at regular seating positions.
Innovation Solution
An occupant detection device that generates a seat row map based on point cloud information, sets an upper end line along the plane point cloud, and estimates the number of occupants using the shape feature of this line to improve detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electromagnetic wave sensors and seating sensors are used to detect occupants, then the detection system can be implemented, but accurate detection fails when occupants are not seated at regular seating positions
Solution Approach 1:
The patent transitions from traditional 2D sensor array detection to 3D spatial detection using point cloud technology. By constructing a three-dimensional coordinate system and generating seat row maps with upper end lines, the system can detect occupants in any position within the vehicle interior, not just at regular seating positions, thereby resolving the contradiction between detection accuracy and adaptability to irregular seating arrangements
Solution Approach 2:
The system changes the detection parameters from fixed sensor grid positions to dynamic point cloud coordinates. By extracting upper end lines from point cloud data and analyzing their shape features, the system adapts to varying occupant positions and postures, enabling accurate detection regardless of whether occupants are seated regularly or irregularly
2Measurement precision
If traditional sensor-based detection is used, then the device structure is simple, but detection accuracy deteriorates for occupants not at regular seating positions
Solution Approach 1:
The patent replaces traditional mechanical sensor arrays with electromagnetic wave-based point cloud detection. By using transmission waves and reflected wave intensity to generate three-dimensional point cloud information, the system achieves high detection accuracy without requiring complex mechanical sensor installations at each seating position, thus improving accuracy while maintaining relatively simple device structure
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
Enables accurate detection of the number of occupants and their seating positions, regardless of their actual seating arrangement, by utilizing point cloud information and upper end line analysis.
Implementation Method 1
an intensity of a reflected wave generated when a transmission wave transmitted toward an interior of a moving body is reflected by an object present in the interior
Data Source
AI summary
An occupant detection device includes: an acquisition unit configured to acquire, based on an intensity of a reflected wave generated when a transmission wave transmitted toward an interior of a moving body is reflected by an object present in the interior, point cloud information indicating a three-dimensional-coordinate position of the object moving in the interior as a point cloud including a plurality of detection points; a generation unit configured to generate, based on the point cloud information, a seat row map for each seat row including a plurality of seating regions, the seat row map indicating a distribution of the detection points in a plane region corresponding to an arrangement direction of the plurality of seating regions and a height direction of the moving body; a setting unit configured to set, on the seat row map, an upper end line along an upper end portion of a plane point cloud including two or more of the detection points; and an estimation unit configured to estimate the number of occupants for each seat row based on a shape feature of the upper end line.