[HTML][HTML] Deep learning of monocular depth, optical flow and ego-motion with geometric guidance for UAV navigation in dynamic environments
F Mumuni, A Mumuni, CK Amuzuvi - Machine Learning with Applications, 2022 - Elsevier
Computer vision-based depth estimation and visual odometry provide perceptual
information useful for robot navigation tasks like obstacle avoidance. However, despite the …
information useful for robot navigation tasks like obstacle avoidance. However, despite the …
H-VLO: hybrid LiDAR-camera fusion for self-supervised odometry
In this paper, we propose a hybrid visual-LiDAR odometry (H-VLO) framework that fuses
predicted visual depth map and completed LiDAR map. Compared to the previous visual …
predicted visual depth map and completed LiDAR map. Compared to the previous visual …
Multi-sensor fusion self-supervised deep odometry and depth estimation
This paper presents a new deep visual-inertial odometry and depth estimation framework for
improving the accuracy of depth estimation and ego-motion from image sequences and …
improving the accuracy of depth estimation and ego-motion from image sequences and …
Conditional generative adversarial network for monocular image depth map prediction
S Hao, L Zhang, K Qiu, Z Zhang - Electronics, 2023 - mdpi.com
Deep map prediction plays a crucial role in comprehending the three-dimensional structure
of a scene, which is essential for enabling mobile robots to navigate autonomously and …
of a scene, which is essential for enabling mobile robots to navigate autonomously and …
LiDAR-camera fusion for depth enhanced unsupervised odometry
This paper proposes a robust and safe perception system for an odometry framework based
on the fusion of LiDAR data with an RGB image. These multi-modal sensor measurements …
on the fusion of LiDAR data with an RGB image. These multi-modal sensor measurements …
Depth-Independent Depth Completion via Least Square Estimation
The depth completion task [8] aims to complete a per-pixel dense depth map from a sparse
depth map. In this paper, we propose an efficient least square based depth-independent …
depth map. In this paper, we propose an efficient least square based depth-independent …
[PDF][PDF] Machine Learning with Applications
F Mumuni, A Mumuni, CK Amuzuvi - researchgate.net
Computer vision-based depth estimation and visual odometry provide perceptual
information useful for robot navigation tasks like obstacle avoidance. However, despite the …
information useful for robot navigation tasks like obstacle avoidance. However, despite the …