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pro vyhledávání: '"wu, Lan"'
This paper presents DynORecon, a Dynamic Object Reconstruction system that leverages the information provided by Dynamic SLAM to simultaneously generate a volumetric map of observed moving entities while estimating free space to support navigation. B
Externí odkaz:
http://arxiv.org/abs/2409.19928
Autor:
Lee, Ki Myung Brian, Dai, Zhirui, Gentil, Cedric Le, Wu, Lan, Atanasov, Nikolay, Vidal-Calleja, Teresa
We consider the problem of planning collision-free trajectories on distance fields. Our key observation is that querying a distance field at one configuration reveals a region of safe space whose radius is given by the distance value, obviating the n
Externí odkaz:
http://arxiv.org/abs/2408.13377
Motivated by recent empirical findings on the periodic phenomenon of aggregated market volumes in equity markets, we aim to understand the causes and consequences of periodic trading activities through a game-theoretic perspective, examining market i
Externí odkaz:
http://arxiv.org/abs/2408.09505
Robots reason about the environment through dedicated representations. Popular choices for dense representations exploit Truncated Signed Distance Functions (TSDF) and Octree data structures. However, TSDF is a projective signed distance obtained dir
Externí odkaz:
http://arxiv.org/abs/2407.09649
Autor:
Wu, Lan
The success of intelligent robotic missions relies on integrating various research tasks, each demanding distinct representations. Designing task-specific representations for each task is costly and impractical. Unified representations suitable for m
Externí odkaz:
http://arxiv.org/abs/2405.18965
Accurate multi-step flight trajectory prediction plays an important role in Air Traffic Control, which can ensure the safety of air transportation. Two main issues limit the flight trajectory prediction performance of existing works. The first issue
Externí odkaz:
http://arxiv.org/abs/2405.16200
Human-robot collaborative applications require scene representations that are kept up-to-date and facilitate safe motions in dynamic scenes. In this letter, we present an interactive distance field mapping and planning (IDMP) framework that handles d
Externí odkaz:
http://arxiv.org/abs/2403.09988
This paper introduces a novel method to estimate distance fields from noisy point clouds using Gaussian Process (GP) regression. Distance fields, or distance functions, gained popularity for applications like point cloud registration, odometry, SLAM,
Externí odkaz:
http://arxiv.org/abs/2302.13005
Large-scale data missing is a challenging problem in Intelligent Transportation Systems (ITS). Many studies have been carried out to impute large-scale traffic data by considering their spatiotemporal correlations at a network level. In existing traf
Externí odkaz:
http://arxiv.org/abs/2301.11691