Computing systems for autonomous driving: State of the art and challenges
The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …
learning, and hardware acceleration) and the broad deployment of communication …
Visual and Visual‐Inertial SLAM: State of the Art, Classification, and Experimental Benchmarking
M Servières, V Renaudin, A Dupuis… - Journal of …, 2021 - Wiley Online Library
Simultaneous Localization and Mapping is now widely adopted by many applications, and
researchers have produced very dense literature on this topic. With the advent of smart …
researchers have produced very dense literature on this topic. With the advent of smart …
Cubeslam: Monocular 3-d object slam
In this paper, we present a method for single image three-dimensional (3-D) cuboid object
detection and multiview object simultaneous localization and mapping in both static and …
detection and multiview object simultaneous localization and mapping in both static and …
UcoSLAM: Simultaneous localization and mapping by fusion of keypoints and squared planar markers
R Munoz-Salinas, R Medina-Carnicer - Pattern Recognition, 2020 - Elsevier
Abstract Simultaneous Localization and Mapping is the process of simultaneously creating a
map of the environment while navigating in it. Most of the SLAM approaches use natural …
map of the environment while navigating in it. Most of the SLAM approaches use natural …
Visual SLAM integration with semantic segmentation and deep learning: A review
Simultaneous localization and mapping (SLAM) technology is essential for robots to
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
navigate unfamiliar environments. It utilizes the sensors the robot carries to answer the …
Structdepth: Leveraging the structural regularities for self-supervised indoor depth estimation
Self-supervised monocular depth estimation has achieved impressive performance on
outdoor datasets. Its performance however degrades notably in indoor environments …
outdoor datasets. Its performance however degrades notably in indoor environments …
Keyframe-based monocular SLAM: design, survey, and future directions
Extensive research in the field of monocular SLAM for the past fifteen years has yielded
workable systems that found their way into various applications in robotics and augmented …
workable systems that found their way into various applications in robotics and augmented …
A review of visual-inertial simultaneous localization and mapping from filtering-based and optimization-based perspectives
C Chen, H Zhu, M Li, S You - Robotics, 2018 - mdpi.com
Visual-inertial simultaneous localization and mapping (VI-SLAM) is popular research topic in
robotics. Because of its advantages in terms of robustness, VI-SLAM enjoys wide …
robotics. Because of its advantages in terms of robustness, VI-SLAM enjoys wide …
So-slam: Semantic object slam with scale proportional and symmetrical texture constraints
Object SLAM introduces the concept of objects into Simultaneous Localization and Mapping
(SLAM) and helps understand indoor scenes for mobile robots and object-level interactive …
(SLAM) and helps understand indoor scenes for mobile robots and object-level interactive …
Structure plp-slam: Efficient sparse mapping and localization using point, line and plane for monocular, rgb-d and stereo cameras
F Shu, J Wang, A Pagani… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
This paper presents a visual SLAM system that uses both points and lines for robust camera
localization, and simultaneously performs a piece-wise planar reconstruction (PPR) of the …
localization, and simultaneously performs a piece-wise planar reconstruction (PPR) of the …