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- W3005962012 abstract "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." @default.
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- W3005962012 date "2019-05-01" @default.
- W3005962012 modified "2023-09-27" @default.
- W3005962012 title "3D street pole-like object detection and recognition for self-drive car localization" @default.
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- W3005962012 doi "https://doi.org/10.1109/icce-tw46550.2019.8991954" @default.
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