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Paper Poster Presentation at the 31st Symposium on Sensing via Image Information (SSII2025)
2025年05月15日
NewsRelease
We will be presenting a paper poster at the "31st Symposium on Sensing via Image Information (SSII2025)," which will be held at Tokyo Big Sight from May 28th to 30th, 2025.
In this presentation, we will share the latest results of our joint research with Toyota Motor Corporation on improving the method "Performance Improvement of Road Obstacle Detection Method Using Semantic Segmentation Model: Utilizing Extremely Randomized Trees Based on Co-occurrence of Roads and Unknown Objects".
In this presentation, we will share the latest results of our joint research with Toyota Motor Corporation on improving the method "Performance Improvement of Road Obstacle Detection Method Using Semantic Segmentation Model: Utilizing Extremely Randomized Trees Based on Co-occurrence of Roads and Unknown Objects".
Overview of the 31st Symposium on Sensing via Image Information (SSII2025)
| Schedule | May 28-30, 2025 |
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| Venue | Tokyo Big Sight Reception Hall A&B 3-11-1 Ariake, Koto-ku, Tokyo, 135-0063, Japan |
| Organizer | Symposium on Sensing via Image Information |
| Official Website | https://pub.confit.atlas.jp/ja/event/ssii2025 |
Presentation Details
We are scheduled to give the following presentation at this conference:
| Title | Performance Improvement of Road Obstacle Detection Method Using Semantic Segmentation Model: Utilizing Extremely Randomized Trees Based on Co-occurrence of Roads and Unknown Objects |
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| Date and Time | May 29, 2025 16:10 - 17:40 |
| Session | Interactive IS2-24 |
| Presenters | Sho Asaumi, Bunta Furukawa (SANEI HYTECHS), Masao Yamanaka, Chihiro Noguchi (Toyota Motor Corporation) |