Results 31 to 40 of about 24,069 (274)
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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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.
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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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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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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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Sensor Technologies and Simultaneous Localization and Mapping (SLAM)
Procedia Computer Science, 2015 AbstractThis paper presents a comprehensive review on sensor modalities currently in used for solving the Simultaneous Localization and Mapping (SLAM) problem. The review focuses on SLAM for mobile robots in a variety of environments. The strengths and weaknesses of acoustic modality sensors such as ultrasonic and sonar sensors, laser range finders ...
Chong, T.J. +5 more
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Journal of Robotics, 2021 An artificial intelligent grey wolf optimizer (GWO)-assisted resampling scheme is applied to the Rao-Blackwellized particle filter (RBPF) in the simultaneous localization and mapping (SLAM).
Yong Dai, Ming Zhao
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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
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6D SLAM with Cached kd-tree Search [PDF]
, 2007 6D SLAM (Simultaneous Localization and Mapping) or 6D Concurrent Localization and Mapping of mobile robots considers six degrees of freedom for the robot pose, namely, the x, y and z coordinates and the roll, yaw and pitch angles.
, Hertzberg, Joachim, Lingemann, Kai
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