Results 31 to 40 of about 24,073 (191)
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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A comparative evaluation of interest point detectors and local descriptors for visual SLAM [PDF]
, 2010 In this paper we compare the behavior of different interest points detectors and descriptors under the conditions needed to be used as landmarks in vision-based simultaneous localization and mapping (SLAM).
A.J. Davison +11 more
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Acoustic Simultaneous Localization And Mapping (SLAM)
, 2021 The current technologies employed for autonomous driving provide tremendous performance and results, but the technology itself is far from mature and relatively expensive. Some of the most commonly used components for autonomous driving include LiDAR, cameras, radar, and ultrasonic sensors.
openaire +2 more sources
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
doaj
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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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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A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping
Sensors, 2020 Autonomous navigation requires both a precise and robust mapping and localization solution. In this context, Simultaneous Localization and Mapping (SLAM) is a very well-suited solution.
César Debeunne, Damien Vivet
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2D SLAM Quality Evaluation Methods
, 2017 SLAM (Simultaneous Localization and mapping) is one of the most challenging problems for mobile platforms and there is a huge amount of modern SLAM algorithms.
Chen, Baian +4 more
core +1 more source