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pro vyhledávání: '"Ahmad Pishehvari"'
Autor:
Ahmad Pishehvari
Publikováno v:
International Journal of Robotic Computing. 1:55-79
This paper describes a framework for precise self-localization using 2D radar scan matching based on a digitalized map. For this purpose, radars, odometers, a gyroscope and a global digital map are combined. Basically estimated ego-motion using motio
Publikováno v:
2020 5th International Conference on Control and Robotics Engineering (ICCRE).
This paper proposes a novel registration method in range-Doppler domain which is highly robust against inaccurate initialization. In contrast to state-of-the-art approaches which perform the registration in the point cloud domain, the proposed method
Publikováno v:
2020 5th International Conference on Control and Robotics Engineering (ICCRE).
In this paper the global self-localization problem of a vehicle without any prior knowledge of its initial pose in GNSS1 -restricted outdoor areas is investigated. Particle filtering is applied using radars, mechanical motion sensors and a digital ma
Publikováno v:
2020 5th International Conference on Control and Robotics Engineering (ICCRE).
This paper presents a novel local self-localization approach which formulates the registration problem as a range-Doppler response problem. The proposed registration algorithm utilizes sensor observations in range-Doppler domain in combination with a