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Found 7 papers, 5 papers with code
Continuous-Time vs. Discrete-Time Vision-based SLAM: A Comparative Study
In the context of this work, we developed, and open source, a modular and efficient software architecture containing state-of-the-art algorithms to solve the SLAM problem in discrete and continuous time.
AlphaPilot: Autonomous Drone Racing
This paper presents a novel system for autonomous, vision-based drone racing combining learned data abstraction, nonlinear filtering, and time-optimal trajectory planning.
Augmenting Visual Place Recognition with Structural Cues
In this paper, we propose to augment image-based place recognition with structural cues.
Matching Features without Descriptors: Implicitly Matched Interest Points
The extraction and matching of interest points is a prerequisite for many geometric computer vision problems.
SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning
In certain cases, our detector is able to obtain an equivalent amount of inliers with as little as 60% of the amount of points of other detectors.
Data-Efficient Decentralized Visual SLAM
In this work, we integrate state-of-the-art decentralized SLAM components into a new, complete decentralized visual SLAM system.
Robotics
Efficient Decentralized Visual Place Recognition From Full-Image Descriptors
As we show, casting this to a key-value lookup problem can be achieved with k-means clustering, and results in a much simpler system than [1].
