Review of visual simultaneous localization and map** based on deep learning
Due to the limitations of LiDAR, such as its high cost, short service life and massive volume,
visual sensors with their lightweight and low cost are attracting more and more attention and …
visual sensors with their lightweight and low cost are attracting more and more attention and …
Kiss-icp: In defense of point-to-point icp–simple, accurate, and robust registration if done the right way
Robust and accurate pose estimation of a robotic platform, so-called sensor-based
odometry, is an essential part of many robotic applications. While many sensor odometry …
odometry, is an essential part of many robotic applications. While many sensor odometry …
Benchmarking neural radiance fields for autonomous robots: An overview
Abstract Neural Radiance Field (NeRF) has emerged as a powerful paradigm for scene
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
representation, offering high-fidelity renderings and reconstructions from a set of sparse and …
The revisiting problem in simultaneous localization and map**: A survey on visual loop closure detection
Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …
answer to decide whether it navigates to a previously visited area. This problem has long …
Ct-icp: Real-time elastic lidar odometry with loop closure
Multi-beam LiDAR sensors are increasingly used in robotics, particularly with autonomous
cars for localization and perception tasks, both relying on the ability to build a precise map of …
cars for localization and perception tasks, both relying on the ability to build a precise map of …
Ntu viral: A visual-inertial-ranging-lidar dataset, from an aerial vehicle viewpoint
In recent years, autonomous robots have become ubiquitous in research and daily life.
Among many factors, public datasets play an important role in the progress of this field, as …
Among many factors, public datasets play an important role in the progress of this field, as …
Unified multi-modal landmark tracking for tightly coupled lidar-visual-inertial odometry
We present an efficient multi-sensor odometry system for mobile platforms that jointly
optimizes visual, lidar, and inertial information within a single integrated factor graph. This …
optimizes visual, lidar, and inertial information within a single integrated factor graph. This …
VILENS: Visual, inertial, lidar, and leg odometry for all-terrain legged robots
We present visual inertial lidar legged navigation system (VILENS), an odometry system for
legged robots based on factor graphs. The key novelty is the tight fusion of four different …
legged robots based on factor graphs. The key novelty is the tight fusion of four different …