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pro vyhledávání: '"Qi, William"'
Autor:
Wilson, Benjamin, Qi, William, Agarwal, Tanmay, Lambert, John, Singh, Jagjeet, Khandelwal, Siddhesh, Pan, Bowen, Kumar, Ratnesh, Hartnett, Andrew, Pontes, Jhony Kaesemodel, Ramanan, Deva, Carr, Peter, Hays, James
We introduce Argoverse 2 (AV2) - a collection of three datasets for perception and forecasting research in the self-driving domain. The annotated Sensor Dataset contains 1,000 sequences of multimodal data, encompassing high-resolution imagery from se
Externí odkaz:
http://arxiv.org/abs/2301.00493
Forecasting the long-term future motion of road actors is a core challenge to the deployment of safe autonomous vehicles (AVs). Viable solutions must account for both the static geometric context, such as road lanes, and dynamic social interactions a
Externí odkaz:
http://arxiv.org/abs/2008.10587
The ability to autonomously explore and navigate a physical space is a fundamental requirement for virtually any mobile autonomous agent, from household robotic vacuums to autonomous vehicles. Traditional SLAM-based approaches for exploration and nav
Externí odkaz:
http://arxiv.org/abs/2001.02364
Autor:
Yang, Qi William
The current approach to performance measurement in British Columbia is to select and match performance measures with strategic goals and objectives so that health administrators and decision makers can evaluate the performance of different care secto
Externí odkaz:
http://hdl.handle.net/1828/6566
Autor:
Wen Yong Li, William R., Wei Dong Yu, William R., Bing Qi, William R., Xin He, Yu Ge Wang, William R., Gui Sheng Liu, William R., Miao Du, Qing Xuan Chen, William R.
Publikováno v:
Development, Growth & Differentiation; Oct2003, Vol. 45 Issue 5/6, p543-552, 10p