Topic

Name

Date

Kalman und Particle Filter

rui.tu@tum.de

May 28, 2024

Visual Odometry (e.g. LSDSLAM), VINS

max.winklhofer@tum.de

May 28, 2024

Visual Servoing

Lecture

June 4, 2024

Mapping Strategies (3D and visual)

felix.c.hahn@tum.de

June 4, 2024

Tactile Exploration

chenxi.shao@tum.de

June 11, 2024

Tactile Material Classification

jonathan.schoenecker@tum.de

June 11, 2024

Event Cameras

Lecture

June 25, 2024

Obj Recognition from 3D

ge49rim@mytum.de

June 18, 2024

Obj Recognition from 2D

ge62tow@mytum.de

June 18,2024

Learning-Based Object Identification

ge74tog@mytum.de

He Chen

June 25,2024

Kalman and Particle Filters

            A New Approach to Linear Filterig and Prediction Problem - R.E: Kalman

https://asmedigitalcollection.asme.org/fluidsengineering/article-abstract/82/1/35/397706/A-New-Approach-to-Linear-Filtering-and-Prediction

The unscented Kalman filter for nonlinear estimation - E. Wan

https://ieeexplore.ieee.org/abstract/document/882463

            A Tutorial on Particle Filtering and Smoothing - A. Doucet and M. Johansen

https://www.stats.ox.ac.uk/~doucet/doucet_johansen_tutorialPF2011.pdf


Visual Odometry, VINS, LSDSLAM

Parallel Tracking and Mapping for Small AR Workspaces - G. Klein

https://www.robots.ox.ac.uk/~gk/publications/KleinMurray2007ISMAR.pdf

        Visual SLAM algorithms: a survey from 2010 to 2016 - T. Taketomi

https://ipsjcva.springeropen.com/articles/10.1186/s41074-017-0027-2

LSD-SLAM: Large-Scale Direct Monocular SLAM - J. Engel

https://cvg.cit.tum.de/_media/spezial/bib/engel14eccv.pdf

VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator -T. Qin

https://ieeexplore.ieee.org/document/8421746

Mapping Strategies

OctoMap: An efficient probabilistic 3D mapping framework based on octrees - R. Rusu

Fast point feature histograms (FPFH) for 3D registration - R. Rusu

3D is here: Point Cloud Library (PCL) - R. Rusu

https://ieeexplore.ieee.org/document/5980567

Visual Language Maps for Robot Navigation - Ch. Huang

https://vlmaps.github.io/

Vision-based control of mobile robots - D. Burschka

Tactile Exploration

Active Tactile Exploration Based on Cost-Aware Information Gain Maximization - S. Ottenhaus https://www.worldscientific.com/doi/10.1142/S0219843618500159

RobotScale: A Framework for Adaptable Estimation of Static and Dynamic Object Properties with Object-dependent Sensitivity Tuning - M. Pavlic

Tactile Indentification

Robust material classification with a tactile skin using deep learning - B. Bäuml

https://ieeexplore.ieee.org/document/7758088

Material Identification Using Tactile Perception: A Semantics-Regularized Dictionary Learning Method - F. Sun

https://ieeexplore.ieee.org/abstract/document/8115186

        

Object Recognition 3D        

An efficient ransac for 3d object recognition in noisy and occluded scenes - Ch. Papazov

Deep learning-based 3D point cloud classification: A systematic survey and outlook - H. Zhang

https://www.sciencedirect.com/science/article/abs/pii/S0141938223000896

A Survey of Robust 3D Object Detection Methods in Point Clouds - W. Zimmer

https://arxiv.org/abs/2204.00106

Object Recognition 2D

Visual Learning and Recognition of 3-D Objects from Appearance. International Journal of Computer Vision 14 - S. Nayar https://www.cse.unr.edu/~bebis/MathMethods/PCA/case_study_pca2.pdf

Distinctive image features from scale-invariant keypoints -D. Lowe

https://www.cs.ubc.ca/~lowe/papers/ijcv04.pdf

Learning-Based Object Identification

You Only Look Once: Unified, Real-Time Object Detection - J. Redmon

https://arxiv.org/abs/1506.02640