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J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation
In this letter, we propose an end-to-end deep architecture that jointly learns to detect
obstacles and estimate their depth for MAV flight applications. Most of the existing …
obstacles and estimate their depth for MAV flight applications. Most of the existing …
FPGA applications in unmanned aerial vehicles-a review
Most of the existing Unmanned Aerial Vehicles (UAVs) in different scales, use
microcontrollers as their processing engine. In this paper, we provide a wide study on how …
microcontrollers as their processing engine. In this paper, we provide a wide study on how …
Semi-global stereo matching with surface orientation priors
Semi-Global Matching (SGM) is a widely-used efficient stereo matching technique. It works
well for textured scenes, but fails on untextured slanted surfaces due to its fronto-parallel …
well for textured scenes, but fails on untextured slanted surfaces due to its fronto-parallel …
[HTML][HTML] ReS2tAC—UAV-Borne Real-Time SGM Stereo Optimized for Embedded ARM and CUDA Devices
With the emergence of low-cost robotic systems, such as unmanned aerial vehicle, the
importance of embedded high-performance image processing has increased. For a long …
importance of embedded high-performance image processing has increased. For a long …
Real-time on-board obstacle avoidance for UAVs based on embedded stereo vision
Efficient surface-aware semi-global matching with multi-view plane-sweep sampling
B Ruf, T Pollok, M Weinmann - arxiv preprint arxiv:1909.09891, 2019 - arxiv.org
Online augmentation of an oblique aerial image sequence with structural information is an
essential aspect in the process of 3D scene interpretation and analysis. One key aspect in …
essential aspect in the process of 3D scene interpretation and analysis. One key aspect in …