Vehicle Seat Occupancy Detection and Classification Using Capacitive Sensing Clemson University

Format:

Book

Conference/Event

Author/Creator:

Prasanna Kumar, Rahul, author.

Contributor:

Buttolo, Pietro

Jia, Yunyi

Melcher, David

Conference Name:

WCX SAE World Congress Experience (2024-04-16 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2024

Summary:

Improving passenger safety inside vehicle cabins requires continuously monitoring vehicle seat occupancy statuses. Monitoring a vehicle seat's occupancy status includes detecting if the seat is occupied and classifying the seat's occupancy type. This paper introduces an innovative non-intrusive technique that employs capacitive sensing and an occupancy classifier to monitor a vehicle seat's occupancy status. Capacitive sensing is facilitated by a meticulously constructed capacitance-sensing mat that easily integrates with any vehicle seat. When a passenger or an inanimate object occupies a vehicle seat equipped with the mat, they will induce variations in the mat's internal capacitances. The variations are, in turn, represented pictorially as grayscale capacitance-sensing images (CSI), which yield the feature vectors the classifier requires to classify the seat's occupancy type. This paper details the working of the proposed technique in monitoring vehicle seat occupancy statuses non-intrusively and presents experimental results to validate the technique's effectiveness in meeting performance expectations

Notes:

Vendor supplied data

Publisher Number:

2024-01-2508

Access Restriction:

Restricted for use by site license