Know Your Maps: Uncertainty-Aware Semantic LiDAR Localization with Dual Maps
This paper presents a novel GNSS-free semantic LiDAR localization algorithm for
autonomous vehicles. It uses standardized HD and open-source maps to ensure localization …
autonomous vehicles. It uses standardized HD and open-source maps to ensure localization …
Unstructured road slam using map predictive road tracking
In this paper, we present a simultaneous localization and mapping framework that combines
filter-based road course tracking and GraphSLAM for localization and mapping in …
filter-based road course tracking and GraphSLAM for localization and mapping in …
Object-based SLAM Using Superquadrics
Y Xing, N Samano, W Fan… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
Visual SLAM uses visual information, typically point features, to localise a camera and, at the
same time, map the environment. In recent years, there has been interest in using scene …
same time, map the environment. In recent years, there has been interest in using scene …
GenPa-SLAM: using a general panoptic segmentation for a real-time semantic landmark SLAM
Alongside a detailed knowledge about the current environment, the ego position is a major
aspect in autonomous driving. Solving the task of localization and mapping typically consists …
aspect in autonomous driving. Solving the task of localization and mapping typically consists …
[PDF][PDF] General Panoptics: Combining Semantic Segmentation and Classical Methods for a Fast LiDAR Panoptic Segmentation
L Beer, HJ Wünsche - Tagungsband 14. Workshop …, 2022 - uni-das.de
Detailed knowledge about the environment is a prerequisite for autonomous driving. One
main question in this context is: Which objects are around me? The answer to this question …
main question in this context is: Which objects are around me? The answer to this question …