Results 71 to 80 of about 6,675 (223)
Control System for the Navigation of the Agricultural Robots: A Review
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía +3 more
wiley +1 more source
Self-Improving Visual Odometry
We propose a self-supervised learning framework that uses unlabeled monocular video sequences to generate large-scale supervision for training a Visual Odometry (VO) frontend, a network which computes pointwise data associations across images. Our self-improving method enables a VO frontend to learn over time, unlike other VO and SLAM systems which ...
Daniel DeTone +2 more
openaire +2 more sources
The aim of the paper is to present, test and discuss the implementation of Visual SLAM techniques to images taken from Unmanned Aerial Vehicles (UAVs) outdoors, in partially structured environments.
Campoy Cervera, Pascual +14 more
core +1 more source
Bags of tricks for learning depth and camera motion from monocular videos
Background: Based on the seminal work proposed by Zhou et al., much of the recent progress in learning monocular visual odometry, i. e. depth and camera motion from monocular videos, can be attributed to the tricks in the training procedure, such as data
Bowen Dong, Lu Sheng
doaj +1 more source
The Evolution of Autonomous Systems for Planetary Cave Exploration: A Review
ABSTRACT The exploration of Subsurface Access Points (SAPs), such as lava tubes on the Moon and Mars, has gained significant interest due to their potential as stable environments shielded from surface radiation and temperature extremes. These sites are considered high‐value targets for detecting water and signs of ancient life, and assessing their ...
Sarah Swinton +4 more
wiley +1 more source
Practical visual odometry for car-like vehicles
A method for calculating visual odometry for ground vehicles with car-like kinematic motion constraints similar to Ackerman's steering model is presented.
Roberts, Jonathan M. +7 more
core +1 more source
Autonomous navigation in greenhouses requires agricultural robots to localize and generate a globally consistent map of surroundings in real-time. However, accurate and robust localization and mapping are still challenging for agricultural robots due to ...
Yaxuan Yan +4 more
doaj +1 more source
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling +3 more
wiley +1 more source
Visual Odometry using sparse bundle adjustment on an autonomous outdoor vehicle
Visual Odometry is the process of estimating the movement of a (stereo) camera through its environment by matching point features between pairs of consecutive image frames. No prior knowledge of the scene nor the motion is necessary.
Konolige, K. +3 more
core +1 more source
REVIO: Range- and Event-Based Visual-Inertial Odometry for Bio-Inspired Sensors
Visual-inertial odometry is critical for Unmanned Aerial Vehicles (UAVs) and robotics. However, there are problems of motion drift and motion blur in sharp brightness changes and fast-motion scenes.
Yingxun Wang +4 more
doaj +1 more source

