IP Library › Granted Patent US 11,628,789
Granted Patent B2
US 11,628,789 · App. 16/834,154 · Granted Apr 18, 2023

Occupant position detection system

Inventors: Udara Manawadu (Tokyo, JP); Yoshihiro Saeki (Tokyo, JP)
Assignees: TOYOTA JIDOSHA KABUSHIKI KAISHA; AISIN SEIKI KABUSHIKI KAISHA
B60R21/01538B60R21/01552B60R21/16B60R21/01516B60R2021/161
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Quick Facts
Patent No.
US 11,628,789
App. No.
16/834,154
Granted
Apr 18, 2023
Kind
B2
Abstract

An occupant position detection system includes an imaging device configured to capture an image of an occupant seated on a seat provided in an interior of a vehicle, a sensor provided on the seat, a first calculating unit configured to calculate a first position of the occupant from the image captured by the imaging device, a second calculating unit configured to calculate a second position of the occupant from a detection result of the sensor, an occupant position calculating unit configured to calculate an occupant position by fusing the first position and the second position, and an output unit configured to output information on the occupant position calculated by the occupant position calculating unit, to a safety device.

Claims (16)

1. An occupant position detection system, comprising:

an imaging device configured to capture an image of an occupant seated on a seat provided in an interior of a vehicle;

a sensor provided on the seat; and

a central processing unit configured to:

calculate a first position which includes a first head position of the occupant from the image captured by the imaging device;

calculate a second position which includes a second head position of the occupant from a detection result of the sensor;

calculate an occupant position by fusing the first position and the second position; and

output information on the occupant position to a safety device,

wherein the central processing unit includes:

a neural network that receives the image captured by the imaging device, and outputs information about facial landmarks and a body skeleton of the occupant and a first seat position in two dimensions;

a triangulation model that receives information about the facial landmarks and the body skeleton of the occupant and the first seat position from the neural network, and generates the first head position in three dimensions, the body position in three dimensions and the first seat position in three dimensions, and

a fusion unit including a fusion algorithm that fuses the first head position, the body position, and the first seat position generated by the triangulation model, so as to output the first position including the body position of the occupant in three dimensions which includes the first head position in three dimensions.

2. The occupant position detection system according to claim 1 , wherein the central processing unit is configured to calculate a position by fusing the first position and the second position, by linear combination using a minimum mean square error method, and calculate the occupant position by applying a Kalman filter to the position calculated by fusing the first positon and the second position, by linear combination using a minimum mean square error method.

3. The occupant position detection system according to claim 1 , wherein the central processing unit is configured to: calculate a torso/body posture in two dimensions, calculate a second seat position in three dimensions, and output the second position based on the calculated torso/body posture in two dimensions and the calculated seat position in three dimensions.

4. The occupant position detection system according to claim 1 , wherein the safety device comprises at least one of a first airbag for front collision, a second airbag for rear collision, a side impact airbag, a seat mounted airbag, a head rest, a retractor, or a seat recliner.

5. The occupant position detection system according to claim 4 , wherein the safety device is configured to provide guidance by voice or visually.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 30, 2020
From: MANAWADU, UDARA; SAEKI, YOSHIHIRO
To: TOYOTA JIDOSHA KABUSHIKI KAISHA; AISIN SEIKI KABUSHIKI KAISHA
Reel/Frame 052263/0349 →
Continuity (1)
Related Publication 20210300274A1 · Sep 30, 2021
Cited By (1)
US 12,576,758