A Semantically Aware Multi-View 3D Reconstruction Method for Urban Applications

R Wei, H Pei, D Wu, C Zeng, X Ai, H Duan - Applied Sciences, 2024 - mdpi.com
The task of 3D reconstruction of urban targets holds pivotal importance for various
applications, including autonomous driving, digital twin technology, and urban planning and …

uPLAM: Robust Panoptic Localization and Mapping Leveraging Perception Uncertainties

K Sirohi, D Büscher, W Burgard - arXiv preprint arXiv:2402.05840, 2024 - arxiv.org
The availability of a reliable map and a robust localization system is critical for the operation
of an autonomous vehicle. In a modern system, both mapping and localization solutions …

SemVecNet: Generalizable Vector Map Generation for Arbitrary Sensor Configurations

NE Ranganatha, H Zhang, S Venkatramani… - arXiv preprint arXiv …, 2024 - arxiv.org
Vector maps are essential in autonomous driving for tasks like localization and planning, yet
their creation and maintenance are notably costly. While recent advances in online vector …