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pro vyhledávání: '"Lhilo Kenye"'
Autor:
Lhilo Kenye, Rahul Kala
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 7, Iss 4, Pp 87-99 (2022)
Sampling-based motion planning in the field of robot motion planning has provided an effective approach to finding path for even high dimensional configuration space and with the motivation from the concepts of sampling based-motion planners, this pa
Externí odkaz:
https://doaj.org/article/7312e997e0fb4d3399c1e65faaf23bda
Autor:
Lhilo Kenye, Rahul Kala
Publikováno v:
Multimedia Tools and Applications. 81:23259-23288
Autor:
Rahul Kala, Lhilo Kenye
Publikováno v:
Robotica. 40:2065-2090
SummaryMost conventional simultaneous localization and mapping (SLAM) approaches assume the working environment to be static. In a highly dynamic environment, this assumption divulges the impediments of a SLAM algorithm that lack modules that distinc
Autor:
Ambuj Agrawal, Dhruv Agarwal, Mehul Arora, Ritik Mahajan, Shivansh Beohar, Lhilo Kenye, Rahul Kala
Publikováno v:
2022 30th Mediterranean Conference on Control and Automation (MED).
Autor:
Lhilo Kenye, Rahul Kala
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 36
The stereo correspondence problem is one of the most pre-eminent problems in a stereo vision system. With the right correspondence, a stereo vision system can help cap over diverse problems, while on the other hand, a wrong correspondence can be cost
Publikováno v:
IRC
Localization of vehicle in adverse conditions such as in dense traffic conditions is a challenging problem and state-of-the-art techniques often make the vehicle get lost, requiring a re-localization technique to correctly reset the vehicle pose. The