Event-based simultaneous localization and mapping: A comprehensive survey
In recent decades, visual simultaneous localization and mapping (vSLAM) has gained
significant interest in both academia and industry. It estimates camera motion and …
significant interest in both academia and industry. It estimates camera motion and …
Esvio: Event-based stereo visual inertial odometry
Event cameras that asynchronously output low-latency event streams provide great
opportunities for state estimation under challenging situations. Despite event-based visual …
opportunities for state estimation under challenging situations. Despite event-based visual …
Pl-evio: Robust monocular event-based visual inertial odometry with point and line features
Robust state estimation in challenge situations is still an unsolved problem, especially
achieving onboard pose feedback control for aggressive motion. In this paper, we propose …
achieving onboard pose feedback control for aggressive motion. In this paper, we propose …
Towards bridging the space domain gap for satellite pose estimation using event sensing
Deep models trained using synthetic data require domain adaptation to bridge the gap
between the simulation and target environments. State-of-the-art domain adaptation …
between the simulation and target environments. State-of-the-art domain adaptation …
Cross-modal semi-dense 6-dof tracking of an event camera in challenging conditions
Vision-based localization is a cost-effective and, thus, attractive solution for many intelligent
mobile platforms. However, its accuracy and especially robustness still suffer from low …
mobile platforms. However, its accuracy and especially robustness still suffer from low …
Deep event visual odometry
Event cameras offer the exciting possibility of tracking the camera's pose during high-speed
motion and in adverse lighting conditions. Despite this promise, existing event-based …
motion and in adverse lighting conditions. Despite this promise, existing event-based …
Event-and Frame-based Visual-Inertial Odometry with Adaptive Filtering based on 8-DOF Warping Uncertainty
In this letter, we present an event-and frame-based visual-inertial odometry (VIO) algorithm
that fuses frames, events, and inertial measurement in a robust and adaptive manner …
that fuses frames, events, and inertial measurement in a robust and adaptive manner …
E-calib: A fast, robust and accurate calibration toolbox for event cameras
Event cameras triggered a paradigm shift in the computer vision community delineated by
their asynchronous nature, low latency, and high dynamic range. Calibration of event …
their asynchronous nature, low latency, and high dynamic range. Calibration of event …
An overview of simultaneous localisation and mapping: towards multi-sensor fusion
J Yin, F Yan, Y Liu, G He, Y Zhuang - International Journal of …, 2024 - Taylor & Francis
Simultaneous localisation and mapping (SLAM) systems have been widely studied over the
past 30 years and extensively applied in various fields such as mobile robotics, augmented …
past 30 years and extensively applied in various fields such as mobile robotics, augmented …
Gyro-net: IMU gyroscopes random errors compensation method based on deep learning
Y Gao, D Shi, R Li, Z Liu, W Sun - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
To solve the problem of inaccurate orientation estimation after long-term operations of the
Inertial Measurement Unit (IMU), we present a learning-based method (called Gyro-Net) to …
Inertial Measurement Unit (IMU), we present a learning-based method (called Gyro-Net) to …