Zobrazeno 1 - 10
of 619
pro vyhledávání: '"SUN Wenchao"'
Generating safety-critical scenarios, which are essential yet difficult to collect at scale, offers an effective method to evaluate the robustness of autonomous vehicles (AVs). Existing methods focus on optimizing adversariality while preserving the
Externí odkaz:
http://arxiv.org/abs/2406.02983
The well-established modular autonomous driving system is decoupled into different standalone tasks, e.g. perception, prediction and planning, suffering from information loss and error accumulation across modules. In contrast, end-to-end paradigms un
Externí odkaz:
http://arxiv.org/abs/2405.19620
Autor:
He, Lei, Li, Leheng, Sun, Wenchao, Han, Zeyu, Liu, Yichen, Zheng, Sifa, Wang, Jianqiang, Li, Keqiang
Neural Radiance Field (NeRF) has garnered significant attention from both academia and industry due to its intrinsic advantages, particularly its implicit representation and novel view synthesis capabilities. With the rapid advancements in deep learn
Externí odkaz:
http://arxiv.org/abs/2404.13816
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 9, Pp 82-89 (2024)
Current rock burst prevention measures for near-vertical coal seam mining primarily include blasting, hydraulic fracturing, and the establishment of protective layers. These measures either damage interlayer rock pillars and roof/floor strata or prov
Externí odkaz:
https://doaj.org/article/0d115dd972164970a2017096a7d842cb
Publikováno v:
In Applied Thermal Engineering 1 December 2024 257 Part B
Autor:
Li, Chengkai, Shi, Yaokai, Chen, Siyue, Chen, Lin, Zeng, Luyao, Xiang, Liyan, Li, Yuying, Sun, Wenchao, Zhang, Hailin, Wen, Shunhang, Lin, Jian
Publikováno v:
In Microbial Pathogenesis December 2024 197
Autor:
Yang, Zhongwen a, b, Chen, Haitao c, d, ⁎, Ma, Chi e, ⁎⁎, Gao, Xin a, b, Yang, Chen a, b, Sun, Wenchao e, Wang, Yuqiu c, d
Publikováno v:
In Journal of Environmental Management November 2024 370
In the trial-and-error mechanism of reinforcement learning (RL), a notorious contradiction arises when we expect to learn a safe policy: how to learn a safe policy without enough data and prior model about the dangerous region? Existing methods mostl
Externí odkaz:
http://arxiv.org/abs/2111.12953
Publikováno v:
In Renewable Energy October 2024 232
Publikováno v:
In Poultry Science August 2024 103(8)