Results 151 to 160 of about 20,695 (309)
Robust optimization for simultaneous localization and mapping
SLAM (Simultaneous Localization And Mapping) has been a very active and almost ubiquitous problem in the field of mobile and autonomous robotics for over two decades.
Sünderhauf, Niko
core
A Review of Simultaneous Localization and Mapping Algorithms Based on Lidar
Simultaneous localization and mapping (SLAM) is one of the key technologies for mobile robots to achieve autonomous driving, and the lidar SLAM algorithm is the mainstream research scheme.
Yong Li +6 more
semanticscholar +1 more source
Boosting Embodied Visual Localisation Through Multi‐Granular Semantics and Multi‐Robot Consensus
ABSTRACT Achieving high accuracy and synergy remains extremely difficult for multi‐robot embodied visual localisation, which suffers from persistent real‐world challenges such as viewpoint ambiguity, appearance variation and dynamic occlusion. Conventional optimisation‐based methods often lead to incorrect feature matching without domain adaptation ...
Wenshuai Wang +4 more
wiley +1 more source
VorSLAM: A new solution to simultaneous localization and mapping
This paper presents a new solution to the problem of simultaneous localization and mapping (SLAM). Traditional extended Kalman filter (EKF) based SLAM (EKF-SLAM) algorithms describe unknown environments with simple geometric elements, such as points for ...
Ma SG(马书根) +4 more
core
ABSTRACT This article considers travel writings by metropolitan men in Republican China about Shanxi and western Inner Mongolia as a case study to further explore the transformations and continuities of Chinese masculinities. Drawing upon a range of popular travel narratives, it shows that so‐called “Worn‐Out Shoes (poxie)” – women perceived as ...
Amanda Zhang
wiley +1 more source
Long-term localization in dynamic and changing environments remains a key challenge for autonomous vehicles. Semantic Simultaneous Localization and Mapping (SLAM) enhances traditional SLAM by integrating high-level semantic understanding, enabling robust
Álvaro Navarro-Pérez +2 more
doaj +1 more source
PARTY‐STATE URBANISM: Coevolution of Local State Capacity and Strategic Alliances in Shenzhen
Abstract What is distinct about Chinese urban governance? Classic theories predict that when the central state retreats from resource allocation, capacity‐strained local governments must form alliances with non‐state actors, thereby diluting state power. In China, however, state power remains dominant despite decentralization.
Yunhan Wen
wiley +1 more source
P-SLAM: Simultaneous Localization and Mapping With Environmental-Structure Prediction
—Traditionally, simultaneous localization and mapping (SLAM) algorithms solve the localization and mapping problem in explored regions. This paper presents a prediction-based SLAM algorithm (called P-SLAM), which has an environmental-structure predictor ...
Yung-hsiang Lu +4 more
core
ABSTRACT This article explores Australian media commentary on white Rhodesians migrating to Australia, focusing on the period of Malcolm Fraser's prime ministership (1975–1983). The main argument is that the Australian media debates about whether to classify white Rhodesians as ‘migrants’ or ‘refugees’ were not merely semantic but reflected a deeper ...
George Bishi, Ana Stevenson
wiley +1 more source
SLAM Meets NeRF: A Survey of Implicit SLAM Methods
In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown significant performance, accuracy, and efficiency gains, especially when Neural Radiance Fields (NeRFs) are implemented.
Kaiyun Yang +3 more
doaj +1 more source

