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Robotic Systems Lab, ETH Zurich
- Zurich, Switzerland
Highlights
- Pro
Stars
[ICRA 2025] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
A highly robust and accurate LiDAR-inertial odometry package
An add-on to LaTeX Workshop that provides some features that go beyond the bare essentials
PyTorch implementation of Structured State Space for Sequence Modeling (S4), based on Annotated S4.
GIM: Learning Generalizable Image Matcher From Internet Videos (ICLR 2024 Spotlight)
An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow
A Python package for the TartanAir-V2 dataset.
Video Autoencoder: self-supervised disentanglement of 3D structure and motion (ICCV 2021). Website: https://zlai0.github.io/VideoAutoencoder/
Simple and easily configurable grid world environments for reinforcement learning
Baseline implementation of recurrent PPO using truncated BPTT
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (ICRA 2021)
Official implementation of ICCV2023 VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation
A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
[ICCV2023] NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping
Structured state space sequence models
Neural Turing Machines (NTM) - PyTorch Implementation
iPlanner: Imperative Path Planning. An end-to-end learning planning framework using a novel unsupervised imperative learning approach
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
fangnan99 / ros_openimu
Forked from ROS-Aceinna/ros_openimuROS driver for Aceinna OpenIMU products
Pointcloud-based graph SLAM written in C++ using open3D library.
Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments
ROS wrapper for interestingness package.