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Map** for autonomous driving: Opportunities and challenges
This article provides a review of the production and uses of maps for autonomous driving
and a synthesis of the opportunities and challenges. For many years, maps have helped …
and a synthesis of the opportunities and challenges. For many years, maps have helped …
[PDF][PDF] Cerberus: Autonomous legged and aerial robotic exploration in the tunnel and urban circuits of the darpa subterranean challenge
M Tranzatto, F Mascarich, L Bernreiter… - ar** and localization
Robust and accurate visual-inertial estimation is crucial to many of today's challenges in
robotics. Being able to localize against a prior map and obtain accurate and drift-free pose …
robotics. Being able to localize against a prior map and obtain accurate and drift-free pose …
Topomap: Topological map** and navigation based on visual slam maps
Visual robot navigation within large-scale, semistructured environments deals with various
challenges such as computation intensive path planning algorithms or insufficient …
challenges such as computation intensive path planning algorithms or insufficient …
{SwarmMap}: Scaling up real-time collaborative visual {SLAM} at the edge
The Edge-based Multi-agent visual SLAM plays a key role in emerging mobile applications
such as search-and-rescue, inventory automation, and drone grou**. This algorithm relies …
such as search-and-rescue, inventory automation, and drone grou**. This algorithm relies …
Large-scale, real-time visual–inertial localization revisited
The overarching goals in image-based localization are scale, robustness, and speed. In
recent years, approaches based on local features and sparse 3D point-cloud models have …
recent years, approaches based on local features and sparse 3D point-cloud models have …
Scenesqueezer: Learning to compress scene for camera relocalization
Standard visual localization methods build a priori 3D model of a scene which is used to
establish correspondences against the 2D keypoints in a query image. Storing these pre …
establish correspondences against the 2D keypoints in a query image. Storing these pre …
Privacy preserving image-based localization
Image-based localization is a core component of many augmented/mixed reality (AR/MR)
and autonomous robotic systems. Current localization systems rely on the persistent storage …
and autonomous robotic systems. Current localization systems rely on the persistent storage …
Sacreg: Scene-agnostic coordinate regression for visual localization
Scene coordinates regression (SCR) ie predicting 3D coordinates for every pixel of a given
image has recently shown promising potential. However existing methods remain limited to …
image has recently shown promising potential. However existing methods remain limited to …
Collaborative visual SLAM using compressed feature exchange
In the field of robotics, collaborative simultaneous localization and map** (SLAM) is still a
challenging problem. The exploration of unknown large-scale environments benefits from …
challenging problem. The exploration of unknown large-scale environments benefits from …