Learning to generate maps from trajectories
Accurate and updated road network data is vital in many urban applications, such as car-sharing, and logistics. The traditional approach to identifying the road network, ie, field survey, requires a significant amount of time and effort. With the wide usage of GPS embedded devices, a huge amount of...
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Main Authors: | Ruan, Sijie, Long, Cheng, Bao, Jie, Li, Chunyang, Yu, Zisheng, Li, Ruiyuan, Liang, Yuxuan, He, Tianfu, Zheng, Yu |
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Other Authors: | School of Computer Science and Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/148158 |
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Institution: | Nanyang Technological University |
Language: | English |
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