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Physics Informed Deep Learning for Traffic State Estimation: Illustrations with LWR and CTM Models
Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整,暫停更新
A small C++11 header-only library for Lie theory.
An implementation of AVP-SLAM and some new contributions
Fusing GPS, IMU and Encoder sensors for accurate state estimation.
Code accompanying my blog post: So, what is a physics-informed neural network?
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
Vehicle State Estimation using Error-State Extended Kalman Filter
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.