Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018
Code release for "The Importance of Coordinate Frames in Dynamic SLAM", ICRA 2024
This is the source code for our (Tobias Ziegler, Jacob Nelson-Slivon, Carsten Binnig and Viktor Leis) published paper at SIGMOD’23: Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA
Research library for compile time optimization
🚀 The first fully-learned approach to the Range Minimum Query (RMQ) problem, providing robust theoretical guarantees and novel space-time trade-offs.
Contains the source code of the paper "Scalable Distributed Inverted List Indexes in Disaggregated Memory" published at SIGMOD'24.
This project focuses on utilizing the Robot Operating System (ROS) for automotive radar data communication and simulation.
Large-Alphabet Semi-Static Entropy Coding Via Asymmetric Numeral Systems
Cooperation and the evolution of intelligence
Mechanical and Aerospace Engineering Final Year Project
CLM is a new data structure that uses matrices in which data from graph is stored and CLM-Miner is the algorithm that is used to extract MFI from the CLM.
A set of programs for generating computational trials for a research project comparing binary to linear network interdependence models
This project is about the development of a system that enables real-time data visualization via a web-app regarding sound intensity using multiple node devices connected through the internet. The prototype was realized using ATmega328 (Arduino Nano) and ESP8266 hardware modules, NodeMCU Arduino wrapper library, Google maps, and firebase API.
Source code for ASP solver of KR 2018 paper "A Hybrid Approach to Optimization in Answer Set Programming"
Enhancing Heap-Tree Efficiency for Modern Computing
A paper exploring emotional contagion within the context of crowd simulation.
A SAT-IP Hybrid MaxSAT solver
(Published IEEE IECON 2022) Engaged in interdisciplinary research on a government-funded project to study water demand and designed an IoT-enabled cost and energy efficient water flow measurement device. Developed power-optimized WiFi and GPRS-based prototypes delivering 45 days of operation on battery and achieving 97.3% flow measurement accuracy.
🕸️ Team Project 🕸️ - 💲B.Tech Major Project💲
Building of a 3d semantic map of the industrial environments using multiple sensors mounted on a fork-lift robot (C/C++/ROS/LIDAR/RGBD/PCL/OpenCV)
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