Results 11 to 20 of about 160,685 (240)

DOE-SLAM: Dynamic Object Enhanced Visual SLAM [PDF]

Sensors, 2021
In this paper, we formulate a novel strategy to adapt monocular-vision-based simultaneous localization and mapping (vSLAM) to dynamic environments. When enough background features can be captured, our system not only tracks the camera trajectory based on static background features but also estimates the foreground object motion from object features. In
Xiao Hu, Jochen Lang
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Slam

PragMATIZES - Revista Latino-Americana de Estudos em Cultura, 2022
O slam é um movimento cultural e artístico de origem norte-americano. No Brasil, ele é especialmente cultivado pela população negra das periferias. Este artigo teve como objetivo abordar o slam desde uma perspectiva interdisciplinar: histórica, social e pedagógica.
Miguel Ahumada Cristi, Aislene da Silva Lopes   +1 more
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OSM-SLAM: Aiding SLAM with OpenStreetMaps priors

Frontiers in Robotics and AI, 2023
In the last decades, Simultaneous Localization and Mapping (SLAM) proved to be a fundamental topic in the field of robotics, due to the many applications, ranging from autonomous driving to 3D reconstruction. Many systems have been proposed in literature exploiting a heterogeneous variety of sensors.
Matteo Frosi, Veronica Gobbi, Matteo Matteucci   +2 more
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CVI-SLAM — Collaborative Visual-Inertial SLAM [PDF]

IEEE Robotics and Automation Letters, 2018
ISSN:2377 ...
Karrer, Marco, Schmuck, Patrik, Chli, Margarita   +2 more
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Non-iterative SLAM [PDF]

2017 18th International Conference on Advanced Robotics (ICAR), 2017
This paper got the best paper award in robotic planning on 18th International Conference on Advanced Robotics (ICAR 2017)
Wang, Chen, Yuan, Junsong, Xie, Lihua
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Active Pose SLAM [PDF]

2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
We present an active exploration strategy that complements Pose SLAM [1] and optimal navigation in Pose SLAM [2]. The method evaluates the utility of exploratory and place revisiting sequences and chooses the one that minimizes overall map and path entropies. The technique considers trajectories of similar path length taking marginal pose uncertainties
Valencia Carreño, Rafael, Valls Miró, Jaime, Dissanayake, Gamini, Andrade-Cetto, Juan   +3 more
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MD-SLAM: Multi-cue Direct SLAM

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
Simultaneous Localization and Mapping (SLAM) systems are fundamental building blocks for any autonomous robot navigating in unknown environments. The SLAM implementation heavily depends on the sensor modality employed on the mobile platform. For this reason, assumptions on the scene's structure are often made to maximize estimation accuracy. This paper
Di Giammarino, Luca, Brizi, Leonardo, Guadagnino, Tiziano, Stachniss, Cyrill, Grisetti, Giorgio   +4 more
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NR-SLAM: Nonrigid Monocular SLAM

IEEE Transactions on Robotics
In this paper we present NR-SLAM, a novel non-rigid monocular SLAM system founded on the combination of a Dynamic Deformation Graph with a Visco-Elastic deformation model. The former enables our system to represent the dynamics of the deforming environment as the camera explores, while the later allows us to model general deformations in a simple way ...
Rodríguez, Juan J. Gómez, Montiel, José M.M., Tardós, Juan D., Gomez Rodriguez, Juan Jose   +3 more
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MISD‐SLAM: Multimodal Semantic SLAM for Dynamic Environments

Wireless Communications and Mobile Computing, 2022
Simultaneous localization and mapping (SLAM) is one of the most essential technologies for mobile robots. Although great progress has been made in the field of SLAM in recent years, there are a number of challenges for SLAM in dynamic environments and high‐level semantic scenes.
You, Yingxuan, Wei, Peng, Cai, Jialun, Huang, Weibo, Kang, Risheng, Liu, Hong   +5 more
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Symmetrical model based SLAM : M-SLAM [PDF]

Journal of Korean Institute of Intelligent Systems, 2010
The mobile robot which accomplishes a work in explored region does not know location information of surroundings. Traditionally, simultaneous localization and mapping(SLAM) algorithms solve the localization and mapping problem in explored regions. Among the several SLAM algorithms, the EKF (Extended Kalman Filter) based SLAM is the scheme most widely ...
Jung-Suk Oh, Kwee-Bo Sim
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