3D street pole-like object detection and recognition for self-drive car localization
| Autor: | Chi-Hsuan Huang, Fay Huang, Han-Sun Kuo, Augustine Tsai, Chao-Yu Cheng |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry Deep learning 010401 analytical chemistry Point cloud 020206 networking & telecommunications 02 engineering and technology Covariance 01 natural sciences Object detection 0104 chemical sciences 0202 electrical engineering electronic engineering information engineering Computer vision Artificial intelligence business |
| Zdroj: | ICCE-TW |
| Popis: | Unprecedented resources have been devoted for autonomous driving worldwide, and Taiwan is no exception. Self-drive bus trials are undergoing among major cities including Taipei, Taoyuan, Taichung and Kaoshiung. One of the most important tasks for self-drive bus navigation is to localize itself based on landmarks of pre-built 3D semantic maps. This paper investigates street pole-like object detection and recognition from the 3D point cloud data. Both traditional covariance and new AI-based deep learning techniques are used to evaluate the results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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