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pro vyhledávání: '"Wang, Wenfu"'
Autor:
He, Zhuolin, Li, Xinrun, Gao, Heng, Tang, Jiachen, Qiu, Shoumeng, Wang, Wenfu, Lu, Lvjian, Qiu, Xuchong, Xue, Xiangyang, Pu, Jian
Traditional camera 3D object detectors are typically trained to recognize a predefined set of known object classes. In real-world scenarios, these detectors may encounter unknown objects outside the training categories and fail to identify them corre
Externí odkaz:
http://arxiv.org/abs/2406.17297
Autor:
Yi, Lunzhao, Wang, Wenfu, Diao, Yuhua, Yi, Sanli, Shang, Ying, Ren, Dabing, Ge, Kun, Gu, Ying
Publikováno v:
In Trends in Analytical Chemistry November 2024 180
Publikováno v:
In Energy 15 October 2024 306
Publikováno v:
In Resources Policy August 2023 85 Part B
Autor:
Wang, Wenfu, Pan, Zhijie
We focus on the very challenging task of semantic segmentation for autonomous driving system. It must deliver decent semantic segmentation result for traffic critical objects real-time. In this paper, we propose a very efficient yet powerful deep neu
Externí odkaz:
http://arxiv.org/abs/1812.07049
Akademický článek
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Urban traffic systems worldwide are suffering from severe traffic safety problems. Traffic safety is affected by many complex factors, and heavily related to all drivers' behaviors involved in traffic system. Drivers with aggressive driving behaviors
Externí odkaz:
http://arxiv.org/abs/1811.12223
Autonomous driving application is developing towards specific scenes. Park scene has features such as low speed, fixed routes, short connection, less complex traffic, and hence is suitable for bringing autonomous driving technology into reality. This
Externí odkaz:
http://arxiv.org/abs/1805.01184
Publikováno v:
In China Economic Review June 2022 73