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Found 17 papers, 3 papers with code
Loss it right: Euclidean and Riemannian Metrics in Learning-based Visual Odometry
This paper overviews different pose representations and metric functions in visual odometry (VO) networks.
Monocular visual simultaneous localization and mapping:(r) evolution from geometry to deep learning-based pipelines
With the rise of deep learning, there is a fundamental change in visual simultaneous localization and mapping (SLAM) algorithms toward developing different modules trained as end-to-end pipelines.
Monocular Visual Odometry
Simultaneous Localization and Mapping
Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways
The focus of this work is to estimate the distance between an object of interest and potential obstacles using a companion UAV.
On the Advantages of Multiple Stereo Vision Camera Designs for Autonomous Drone Navigation
In this work we showcase the design and assessment of the performance of a multi-camera UAV, when coupled with state-of-the-art planning and mapping algorithms for autonomous navigation.
Distributed nonlinear model predictive control of an autonomous tractor-trailer system
This paper addresses the trajectory tracking problem of an autonomous tractor-trailer system by using a fast distributed nonlinear model predictive control algorithm in combination with nonlinear moving horizon estimation for the state and parameter estimation in which constraints on the inputs and the states can be incorporated.
Context-Dependent Anomaly Detection for Low Altitude Traffic Surveillance
To the best of our knowledge, our method is the first contextual anomaly detection method for UAV-assisted aerial surveillance.
Towards agrobots: Identification of the yaw dynamics and trajectory tracking of an autonomous tractor
More efficient agricultural machinery is needed as agricultural areas become more limited and energy and labor costs increase.
Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers
Autonomous navigation of an agricultural vehicle involves the control of different dynamic subsystems, such as the yaw angle dynamics and the longitudinal speed dynamics.
Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System
One of the most critical tasks in tractor operation is the accurate steering during field operations, e. g., accurate trajectory following during mechanical weeding or spraying, to avoid damaging the crop or planting when there is no crop yet.
Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks -- A Novel Learning Algorithm and a Comparative Study
Moreover, the proposed learning algorithm has a closed form, and it is easier to implement than the other existing methods.
UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance
Anomaly detection is a key goal of autonomous surveillance systems that should be able to alert unusual observations.
Image Generation for Efficient Neural Network Training in Autonomous Drone Racing
Drone racing is a recreational sport in which the goal is to pass through a sequence of gates in a minimum amount of time while avoiding collisions.
AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance
As a result of this, several aerial datasets have been introduced, including visual data with object annotations.
Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making
In this work, we address the problem in its entirety and propose a complete system for real-time aerial cinematography that for the first time combines: (1) vision-based target estimation; (2) 3D signed-distance mapping for occlusion estimation; (3) efficient trajectory optimization for long time-horizon camera motion; and (4) learning-based artistic shot selection.
End-to-End Motion Planning of Quadrotors Using Deep Reinforcement Learning
In this work, a novel, end-to-end motion planning method is proposed for quadrotor navigation in cluttered environments.
Online Deep Learning for Improved Trajectory Tracking of Unmanned Aerial Vehicles Using Expert Knowledge
In the former, a conventional controller performs a set of trajectories and, based on the input-output dataset, the deep neural network (DNN)-based controller is trained.
Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial Cinematography
Aerial filming is constantly gaining importance due to the recent advances in drone technology.
