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pro vyhledávání: '"CuiZhu, Zhongying"'
Autor:
Ghafourian, Amin, CuiZhu, Zhongying, Shi, Debo, Chuang, Ian, Charette, Francois, Sachdeva, Rithik, Soltani, Iman
Publikováno v:
in IEEE Robotics and Automation Letters, vol. 9, no. 4, pp. 3211-3218, April 2024
Human navigation is facilitated through the association of actions with landmarks, tapping into our ability to recognize salient features in our environment. Consequently, navigational instructions for humans can be extremely concise, such as short v
Externí odkaz:
http://arxiv.org/abs/2409.14633
Autor:
CuiZhu, Zhongying, Charette, Francois, Ghafourian, Amin, Shi, Debo, Cui, Matthew, Krishnamachar, Anjali, Soltani, Iman
Autonomous driving presents many challenges due to the large number of scenarios the autonomous vehicle (AV) may encounter. End-to-end deep learning models are comparatively simplistic models that can handle a broad set of scenarios. However, end-to-
Externí odkaz:
http://arxiv.org/abs/2306.08865