| Paper Abstract and Keywords |
| Presentation |
2026-02-19 11:30
Automated Analysis of Driver Gaze and Pedal Operation Behavior Using Semantic Segmentation
Kazuma Nishimura, Naoki Hashimoto, Taiki Inoue, Osamu Sugiyama, Masahiro Tada (Kindai Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Since approximately 90% of traffic accidents stem from driver human error, focusing on driver characteristics is important for accident prevention. Driving consists of a continuous process of perception, judgment, and operation. Within this process, appropriate scanning behavior for checking safety and speed control are key factors for mitigating accident risks. Therefore, evaluating these behaviors requires analysis of the interrelationship between gaze behavior and pedal operation. Conventional eye cameras only measure gaze coordinates without any information for identifying the specific objects being viewed. Foot placements change for preparing near future pedal operation is essential for pedal operation analysis, CAN data only measures pedal stroke as a result of pedal operation behavior and misses this preparatory phase. Although video analysis is indispensable for capturing such detailed behaviors, manual annotation incurs high costs and remains a major bottleneck. To address this issue, this study proposes an integrated automated analysis platform using the deep learning models Grounded SAM 2 and OneFormer. The system identifies viewed objects and pedal operation using gaze data and pedal videos. Verification using real-world driving data from 10 subjects achieved 90.36% accuracy for forward gaze recognition and 81.96% for pedal operation classification. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Analysis of driver gaze / Analysis pedal operation behavior / Semantic Segmentation / / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 50, no. 5, ME2026-6, pp. 21-24, Feb. 2026. |
| Paper # |
ME2026-6 |
| Date of Issue |
2026-02-12 (MMS, ME, AIT, SIP) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
IEICE-IE IEICE-ITS MMS ME AIT SIP |
| Conference Date |
2026-02-19 - 2026-02-20 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
ME |
| Conference Code |
2026-02-IE-ITS-MMS-ME-AIT-SIP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Automated Analysis of Driver Gaze and Pedal Operation Behavior Using Semantic Segmentation |
| Sub Title (in English) |
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| Keyword(1) |
Analysis of driver gaze |
| Keyword(2) |
Analysis pedal operation behavior |
| Keyword(3) |
Semantic Segmentation |
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| 1st Author's Name |
Kazuma Nishimura |
| 1st Author's Affiliation |
Kindai University (Kindai Univ.) |
| 2nd Author's Name |
Naoki Hashimoto |
| 2nd Author's Affiliation |
Kindai University (Kindai Univ.) |
| 3rd Author's Name |
Taiki Inoue |
| 3rd Author's Affiliation |
Kindai University (Kindai Univ.) |
| 4th Author's Name |
Osamu Sugiyama |
| 4th Author's Affiliation |
Kindai University (Kindai Univ.) |
| 5th Author's Name |
Masahiro Tada |
| 5th Author's Affiliation |
Kindai University (Kindai Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2026-02-19 11:30:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2026-6, ME2026-6, AIT2026-6, SIP2026-6 |
| Volume (vol) |
vol.50 |
| Number (no) |
no.5 |
| Page |
pp.21-24 |
| #Pages |
4 |
| Date of Issue |
2026-02-12 (MMS, ME, AIT, SIP) |