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Found 7 papers, 1 papers with code
SD-6DoF-ICLK: Sparse and Deep Inverse Compositional Lucas-Kanade Algorithm on SE(3)
This paper introduces SD-6DoF-ICLK, a learning-based Inverse Compositional Lucas-Kanade (ICLK) pipeline that uses sparse depth information to optimize the relative pose that best aligns two images on SE(3).
MultiPoint: Cross-spectral registration of thermal and optical aerial imagery
This model is then deployed for fast and accurate online interest point detection.
Deep UAV Localization with Reference View Rendering
This paper presents a framework for the localization of Unmanned Aerial Vehicles (UAVs) in unstructured environments with the help of deep learning.
Deep Learning-based Human Detection for UAVs with Optical and Infrared Cameras: System and Experiments
In this paper, we present our deep learning-based human detection system that uses optical (RGB) and long-wave infrared (LWIR) cameras to detect, track, localize, and re-identify humans from UAVs flying at high altitude.
Cubic Range Error Model for Stereo Vision with Illuminators
In this work, we propose that the range error is cubic in range for stereo systems with integrated illuminators.
Flexible Stereo: Constrained, Non-rigid, Wide-baseline Stereo Vision for Fixed-wing Aerial Platforms
This paper proposes a computationally efficient method to estimate the time-varying relative pose between two visual-inertial sensor rigs mounted on the flexible wings of a fixed-wing unmanned aerial vehicle (UAV).
Visual Place Recognition with Probabilistic Vertex Voting
We propose a novel scoring concept for visual place recognition based on nearest neighbor descriptor voting and demonstrate how the algorithm naturally emerges from the problem formulation.
