Artificial Intelligence Research for Science (AIRS)

Fast Neural Scene Flow (ICCV 2023)

Benchmark for lidar and visual place recognition

An invariant filter to fuse monocular/stereo visual-inertial-raw GNSS.

A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.

A dataset containing synchronized visual, inertial and GNSS raw measurements.

Main SLAM Hive code with web interface.

Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning. https://continual-slam.cs.uni-freiburg.de

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

Code for "Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection", ECCV 2022

Deep Learning for Camera Calibration and Beyond: A Survey

(AAAI 2023) RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments

Attitude-Gyro bias estimation using matrix Fisher-Gaussian distributions

Kalman filter and complementary filter for attitude estimation using gyroscope

[CVPR 2022] FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering

A Modular and Multi-Modal Mapping Framework

Google Research

Distribution and filtering on SO(3) x Euclidean space

Monte Carlo Localization using Neural Radiance Fields

Instant neural graphics primitives: lightning fast NeRF and more

[NeurIPS 2022] ASPiRe: Adaptive Skill Priors for Reinforcement Learning

Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

My work during the summer in SLAM.

Implementation of model predictive control for nonlinear systems via machine learning and function approximators

Newer Matlab Implementation of Machine Learning Control

Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"