Online monocular lane mapping using catmull-rom spline

Z Qiao, Z Yu, H Yin, S Shen - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
In this study, we introduce an online monocular lane mapping approach that solely relies on
a single camera and odometry for generating spline-based maps. Our proposed technique …

LiLO: Lightweight and low-bias LiDAR odometry method based on spherical range image filtering

EP Velasco-Sánchez, MÁ Muñoz-Bañón… - arXiv preprint arXiv …, 2023 - arxiv.org
In unstructured outdoor environments, robotics requires accurate and efficient odometry with
low computational time. Existing low-bias LiDAR odometry methods are often …

Robust self-tuning data association for geo-referencing using lane markings

MÁ Muñoz-Bañón, JH Pauls, H Hu… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Localization in aerial imagery-based maps offers many advantages, such as global
consistency, geo-referenced maps, and the availability of publicly accessible data. However …

Geo-localization based on Dynamically Weighted Factor-graph

MÁ Muñoz-Bañón, A Olivas… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Feature-based geo-localization relies on associating features extracted from aerial imagery
with those detected by the vehicle's sensors. This requires that the type of landmarks must …

Dynamically Weighted Factor-Graph for Feature-based Geo-localization

MÁ Muñoz-Bañón, A Olivas… - arXiv preprint arXiv …, 2023 - arxiv.org
Feature-based geo-localization relies on associating features extracted from aerial imagery
with those detected by the vehicle's sensors. This requires that the type of landmarks must …

[引用][C] Echtzeitfähige Schätzung generischer Linienzüge für das kartenlose automatisierte Fahren mittels Deep Learning

A Meyer - Dissertation, Karlsruhe, Karlsruher …