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Martin's Projects

3dod_thesis icon 3dod_thesis

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

awesome-llm-robotics icon awesome-llm-robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

cs285_deeprl_berkeley icon cs285_deeprl_berkeley

This repo contains my solutions to the assignments of Berkeley's CS285 course on Deep Reinforcement Learning, Decision Making and Control

fast_lio icon fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

gauss_traj_estimator icon gauss_traj_estimator

Implementation of a Gaussian process regression for motion prediction in target-tracking scenarios (currently under development). Based on C++ used within ROS environment.

gp_lie icon gp_lie

Gaussian process regression for continuous-time trajectory estimation on Lie groups solved through Gauss-Newton optimization

jrmot_ros icon jrmot_ros

Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset

mlgs_tum icon mlgs_tum

Projects in Machine Learning for Graphs & Sequential Data at TUM, summer 2020

multi_robot_collaboration icon multi_robot_collaboration

ROS-based project on multi-robot collabaration in partially observable, dynamic environments developed at TUM as part of the class "Smart Self-Adaptive Cyber-Physical Systems" under direction of Ana Petrovska and Prof. Pretschner. Group members: Sebastian Bergemann, Martin Büchner, Malte Neuss and Muhammad Ansab Shohab

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