Results 41 to 50 of about 20,695 (309)
An Overview of Key SLAM Technologies for Underwater Scenes
Remote Sensing, 2023 Autonomous localization and navigation, as an essential research area in robotics, has a broad scope of applications in various scenarios. To widen the utilization environment and augment domain expertise, simultaneous localization and mapping (SLAM) in ...
Xiaotian Wang +4 more
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IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping
CoRR, 2020 To be published in CoRL 2020 (Conference on Robot Learning)
Sadegh Rabiee, Joydeep Biswas
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A New Method of Simultaneous Localization and Mapping for Mobile Robots Using Acoustic Landmarks
Applied Sciences, 2019 The simultaneous localization and mapping (SLAM) problem for mobile robots has always been a hotspot in the field of robotics. Simultaneous localization and mapping for robots using visual sensors and laser radar is easily affected by the field of view ...
Xiaohui Chen, Hao Sun, Heng Zhang
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Remote Sensing, 2023 The Mobile Mapping System (MMS) plays a crucial role in generating accurate 3D maps for a wide range of applications. However, traditional MMS that utilizes tilted LiDAR (light detection and ranging) faces limitations in capturing comprehensive ...
Yujia Zhang, Jungwon Kang, Gunho Sohn
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Generative Simultaneous Localization and Mapping (G-SLAM)
CoRR, 2016 Environment perception is a crucial ability for robot's interaction into an environment. One of the first steps in this direction is the combined problem of simultaneous localization and mapping (SLAM). A new method, called G-SLAM, is proposed, where the map is considered as a set of scattered points in the continuous space followed by a probability ...
Nikos Zikos, Vassilios Petridis
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Iranian Journal of Electrical and Electronic Engineering, 2021 Even when simultaneous localization and mapping (SLAM) solutions have been broadly developed, the vast majority of them relate to a single robot performing measurements in static environments.
S. Badalkhani, R. Havangi
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A Compatible Framework for RGB-D SLAM in Dynamic Scenes
IEEE Access, 2019 Localization and mapping in a dynamic scene is a crucial problem for the indoor visual simultaneous localization and mapping (SLAM) system. Most existed visual odometry (VO) or SLAM systems are based on the assumption that the environment is static.
Lili Zhao +5 more
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Robust Multipath-Assisted SLAM with Unknown Process Noise and Clutter Intensity
Remote Sensing, 2021 In multipath-assisted simultaneous localization and mapping (SLAM), the geometric association of specular multipath components based on radio signals with environmental features is used to simultaneously localize user equipment and map the environment ...
Zesheng Dan, Baowang Lian, Chengkai Tang
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Applied Sciences, 2019 The method of simultaneous localization and mapping (SLAM) using a light detection and ranging (LiDAR) sensor is commonly adopted for robot navigation. However, consumer robots are price sensitive and often have to use low-cost sensors.
Guolai Jiang +5 more
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A survey: which features are required for dynamic visual simultaneous localization and mapping?
Visual Computing for Industry, Biomedicine, and Art, 2021 In recent years, simultaneous localization and mapping in dynamic environments (dynamic SLAM) has attracted significant attention from both academia and industry.
Zewen Xu, Zheng Rong, Yihong Wu
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