1 citations · 1 across the 3 of their papers we have counts for
4 papers
HIGS: Hierarchical Implicit Grids for Joint Geometric and Semantic Scene Understanding
Hanwen Cao, Wenqiang Wu, Kuang-Ting Tu +5
Neural implicit representations have had a significant impact on scene reconstruction by enabling robots to build continuous, differentiable, and high-fidelity 3D maps. Most existi…
MISO: Multiresolution Submap Optimization for Efficient Globally Consistent Neural Implicit Reconstruction
Yulun Tian, Hanwen Cao, Sunghwan Kim +1
Neural implicit representations have had a significant impact on simultaneous localization and mapping (SLAM) by enabling robots to build continuous, differentiable, and high-fidel…
PKF: Probabilistic Data Association Kalman Filter for Multi-Object Tracking
Hanwen Cao, George J. Pappas, Nikolay Atanasov
In this paper, we derive a new Kalman filter with probabilistic data association between measurements and states. We formulate a variational inference problem to approximate the po…
Multi-Robot Object SLAM Using Distributed Variational Inference
Hanwen Cao, Sriram Shreedharan, Nikolay Atanasov
Multi-robot simultaneous localization and mapping (SLAM) enables a robot team to achieve coordinated tasks by relying on a common map of the environment. Constructing a map by cent…