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pro vyhledávání: '"Andrew Capodieci"'
Autor:
Aishwarya Unnikrishnan, Joey Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
Publikováno v:
IEEE Access, Vol 10, Pp 97954-97970 (2022)
This paper reports on a dynamic semantic mapping framework that incorporates 3D scene flow measurements into a closed-form Bayesian inference model. Existence of dynamic objects in the environment can cause artifacts and traces in current mapping alg
Externí odkaz:
https://doaj.org/article/a86f7ea8fee14241a350ed9a86d301fd
Autor:
Joey Wilson, Jingyu Song, Yuewei Fu, Arthur Zhang, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
Publikováno v:
IEEE Robotics and Automation Letters. 7:8439-8446
This work addresses a gap in semantic scene completion (SSC) data by creating a novel outdoor data set with accurate and complete dynamic scenes. Our data set is formed from randomly sampled views of the world at each time step, which supervises gene
Publikováno v:
Unmanned Systems Technology XIX.
By employing selective reasoning for wheel placement on uneven terrain, planning systems generate safer trajectories that reduce overall mission risk by preventing high-centering and excessive wheel jolt, and therefore expand an autonomous vehicle’