A comprehensive survey of visual slam algorithms

A Macario Barros, M Michel, Y Moline, G Corre… - Robotics, 2022 - mdpi.com
Simultaneous localization and map** (SLAM) techniques are widely researched, since
they allow the simultaneous creation of a map and the sensors' pose estimation in an …

Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review

Y Bai, B Zhang, N Xu, J Zhou, J Shi, Z Diao - Computers and Electronics in …, 2023 - Elsevier
Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

Past, present, and future of simultaneous localization and map**: Toward the robust-perception age

C Cadena, L Carlone, H Carrillo, Y Latif… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Simultaneous localization and map** (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …

NeRF--: Neural radiance fields without known camera parameters

Z Wang, S Wu, W **e, M Chen… - arxiv preprint arxiv …, 2021 - arxiv.org
Considering the problem of novel view synthesis (NVS) from only a set of 2D images, we
simplify the training process of Neural Radiance Field (NeRF) on forward-facing scenes by …

Direct sparse odometry

J Engel, V Koltun, D Cremers - IEEE transactions on pattern …, 2017 - ieeexplore.ieee.org
Direct Sparse Odometry (DSO) is a visual odometry method based on a novel, highly
accurate sparse and direct structure and motion formulation. It combines a fully direct …