A survey on map-based localization techniques for autonomous vehicles
A Chalvatzaras, I Pratikakis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Autonomous vehicles integrate complex software stacks for realizing the necessary iterative
perception, planning, and action operations. One of the foundational layers of such stacks is …
perception, planning, and action operations. One of the foundational layers of such stacks is …
Graph-based multi-sensor fusion for consistent localization of autonomous construction robots
Enabling autonomous operation of large-scale construction machines, such as excavators,
can bring key benefits for human safety and operational opportunities for applications in …
can bring key benefits for human safety and operational opportunities for applications in …
Simultaneous localization and mapping related datasets: A comprehensive survey
Y Liu, Y Fu, F Chen, B Goossens, W Tao… - arXiv preprint arXiv …, 2021 - arxiv.org
Due to the complicated procedure and costly hardware, Simultaneous Localization and
Mapping (SLAM) has been heavily dependent on public datasets for drill and evaluation …
Mapping (SLAM) has been heavily dependent on public datasets for drill and evaluation …
CoVIO: Online continual learning for visual-inertial odometry
Visual odometry is a fundamental task for many applications on mobile devices and robotic
platforms. Since such applications are oftentimes not limited to predefined target domains …
platforms. Since such applications are oftentimes not limited to predefined target domains …
Hyperdimensional computing as a framework for systematic aggregation of image descriptors
P Neubert, S Schubert - … of the IEEE/CVF conference on …, 2021 - openaccess.thecvf.com
Image and video descriptors are an omnipresent tool in computer vision and its application
fields like mobile robotics. Many hand-crafted and in particular learned image descriptors …
fields like mobile robotics. Many hand-crafted and in particular learned image descriptors …
Hierarchical bidirected graph convolutions for large-scale 3-D point cloud place recognition
In this article, we present a novel hierarchical bidirected graph convolution network (HiBi-
GCN) for large-scale 3-D point cloud place recognition. Unlike place recognition methods …
GCN) for large-scale 3-D point cloud place recognition. Unlike place recognition methods …
Da4ad: End-to-end deep attention-based visual localization for autonomous driving
We present a visual localization framework based on novel deep attention aware features
for autonomous driving that achieves centimeter level localization accuracy. Conventional …
for autonomous driving that achieves centimeter level localization accuracy. Conventional …
[PDF][PDF] Vector Semantic Representations as Descriptors for Visual Place Recognition.
Place recognition is the task of recognizing the current scene from a database of known
places. The currently dominant algorithmic paradigm is to use (deep learning based) holistic …
places. The currently dominant algorithmic paradigm is to use (deep learning based) holistic …
Privacy preserving partial localization
Recently proposed privacy preserving solutions for cloud-based localization rely on lifting
traditional point-based maps to randomized 3D line clouds. While the lifted representation is …
traditional point-based maps to randomized 3D line clouds. While the lifted representation is …
Convolutional cross-view pose estimation
We propose a novel end-to-end method for cross-view pose estimation. Given a ground-
level query image and an aerial image that covers the query's local neighborhood, the 3 …
level query image and an aerial image that covers the query's local neighborhood, the 3 …