Set-membership approach to the kidnapped robot problem
This article depicts an algorithm which matches the output of a Lidar with an initial terrain
model to estimate the absolute pose of a robot. Initial models do not perfectly fit the reality …
model to estimate the absolute pose of a robot. Initial models do not perfectly fit the reality …
A review: simultaneous localization and mapping in application to autonomous robot
O Agunbiade, T Zuva - 2018 - preprints.org
The important characteristic that could assist in autonomous navigation is the ability of a
mobile robot to concurrently construct a map for an unknown environment and localize itself …
mobile robot to concurrently construct a map for an unknown environment and localize itself …
Enhancing the MCL-SLAM algorithm to overcome the issue of illumination variation, non-static environment and kidnapping to present the NIK-SLAM
OY Agunbiade - International Journal of Intelligent Robotics and …, 2024 - Springer
Abstract Simultaneous Localization and Mapping (SLAM) is a major challenge that has been
comprehensively investigated by scholars. SLAM's ability to support autonomous navigation …
comprehensively investigated by scholars. SLAM's ability to support autonomous navigation …
Improving the precision of AUVs localization in a hybrid interval-probabilistic approach using a set-inversion strategy
One of the fundamental tasks of robotics is to solve the localization problem, in which a robot
must determine its true pose without any knowledge on its initial location. In underwater …
must determine its true pose without any knowledge on its initial location. In underwater …
Méthodes ensemblistes pour la localisation en robotique mobile
R Guyonneau - 2013 - theses.hal.science
Cette thèse s' intéresse aux problèmes de localisation en robotique mobile, et plus
particulièrement à l'intérêt d'une approche ensembliste pour ces problèmes. Actuellement …
particulièrement à l'intérêt d'une approche ensembliste pour ces problèmes. Actuellement …
Robust hybrid interval-probabilistic approach for the kidnapped robot problem
For a mobile robot to operate in its environment it is crucial to determine its position with
respect to an external reference frame using noisy sensor readings. A scenario in which the …
respect to an external reference frame using noisy sensor readings. A scenario in which the …
Enhancing Monte-Carlo SLAM Algorithm to Overcome the Issue of Illumination Variation and Kidnapping in Application to Unmanned Vehicle
AO Yinka, A NaKi - Computer Science On-line Conference, 2023 - Springer
A research problem that has been thoroughly investigated by researchers is the
Simultaneous Localization and Mapping (SLAM). Its potential ability to solve self-navigation …
Simultaneous Localization and Mapping (SLAM). Its potential ability to solve self-navigation …
Image enhancement from illumination variation to improve the performance of simultaneous localization and mapping technique
OY Agunbiade, T Zuva - 2021 4th International Conference on …, 2021 - ieeexplore.ieee.org
The Simultaneous Localization and Mapping (SLAM) is a research problem that has been
explored by scholars. The SLAM contribution to autonomous robot navigation has attracted …
explored by scholars. The SLAM contribution to autonomous robot navigation has attracted …
Check for updates Enhancing Monte-Carlo SLAM Algorithm to Overcome the Issue of Illumination Variation and Kidnapping in Application to Unmanned
AO Yinka, A NaKi - … in Networks and Systems: Proceedings of …, 2023 - books.google.com
A research problem that has been thoroughly investigated by researchers is the
Simultaneous Localization and Mapping (SLAM). Its potential ability to solve self-navigation …
Simultaneous Localization and Mapping (SLAM). Its potential ability to solve self-navigation …
Simultaneous localization and mapping for autonomous robot navigation in a dynamic noisy environment
OY Agunbiade - 2019 - search.proquest.com
Abstract Simultaneous Localization and Mapping (SLAM) is a significant problem that has
been extensively researched in robotics. Its contribution to autonomous robot navigation has …
been extensively researched in robotics. Its contribution to autonomous robot navigation has …