output
20172025
most citedPerformance Evaluation and Hybrid Application of the Greedy and Predictive UAV Trajectory Optimization Methods for Localizing a Target Mobile Device

8 citations

15 papers

cs.CV2025★ 4 cited

Event-based multi-view photogrammetry for high-dynamic, high-velocity target measurement

Taihang Lei, Banglei Guan, Minzu Liang +5

The characterization of mechanical properties for high-dynamic, high-velocity target motion is essential in industries. It provides crucial data for validating weapon systems and p…

eess.SP2025

Dynamic IRS Allocation for Spectrum-Sharing MIMO Communication and Radar Systems

Daniyal Munir, Atta Ullah, Danish Mehmood Mughal +2

This paper investigates the use of intelligent reflecting surfaces (IRS) to assist cellular communications and radar sensing operations in a communications and sensing setup. The I…

eess.SP2024

Near-Range Environmental Perception for Inland Waterway Vessels: A Comparative Study of LiDAR and Automotive FMCW RADAR Sensors

R. Herrmann, S. Bose, I. Filip +5

Advancing towards high automation and autonomous operations is crucial for the future of inland waterway transport (IWT) systems. These systems necessitate robust and precise onboa…

quant-ph2023

Universality and classification of elementary thermal operations

Pedro Hack, Christian B. Mendl

Elementary thermal operations are thermal operations that act non-trivially on at most two energy levels of a system at the same time. They were recently introduced in order to bri…

eess.SP2023★ 8 cited

Performance Evaluation and Hybrid Application of the Greedy and Predictive UAV Trajectory Optimization Methods for Localizing a Target Mobile Device

Halim Lee, Jiwon Seo

This study investigates unmanned aerial vehicle (UAV) trajectory planning strategies for localizing a target mobile device in emergency situations. The global navigation satellite…

cs.CV2020★ 1 cited

Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer

Tong Liu, Zhaowei Chen, Yi Yang +2

Nowadays, deep learning techniques are widely used for lane detection, but application in low-light conditions remains a challenge until this day. Although multi-task learning and…

eess.SP2019

Supervised Learning for Physical Layer based Message Authentication in URLLC scenarios

Andreas Weinand, Raja Sattiraju, Michael Karrenbauer +1

PHYSEC based message authentication can, as an alternative to conventional security schemes, be applied within \gls{urllc} scenarios in order to meet the requirement of secure user…

cs.NI2019

A Fast-rate WLAN Measurement Tool for Improved Miss-rate in Indoor Navigation

Erick Schmidt, David Akopian

Recently, location-based services (LBS) have steered attention to indoor positioning systems (IPS). WLAN-based IPSs relying on received signal strength (RSS) measurements such as f…

cs.IT2018★ 2 cited

A Droplet Approach Based on Raptor Codes for Distributed Computing With Straggling Servers

Albin Severinson, Alexandre Graell i Amat, Eirik Rosnes +2

We propose a coded distributed computing scheme based on Raptor codes to address the straggler problem. In particular, we consider a scheme where each server computes intermediate…

cs.RO2018★ 3 cited

Fusion of Monocular Vision and Radio-based Ranging for Global Scale Estimation and Drift Mitigation

Young-Hee Lee, Chen Zhu, Gabriele Giorgi +1

Monocular vision-based Simultaneous Localization and Mapping (SLAM) is used for various purposes due to its advantages in cost, simple setup, as well as availability in the environ…

cs.NI2018★ 1 cited

Security Solutions for Local Wireless Networks in Control Applications based on Physical Layer Security

Andreas Weinand, Michael Karrenbauer, Hans D. Schotten

The Design of new wireless communication systems for industrial applications, e.g. control applications, is currently a hot research topic, as they deal as a key enabler for more f…

cs.IT2018★ 3 cited

Iterative Bounded Distance Decoding of Product Codes with Scaled Reliability

Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva

We propose a modified iterative bounded distance decoding of product codes. The proposed algorithm is based on exchanging hard messages iteratively and exploiting channel reliabili…

cs.NI2017

Physical Layer Authentication for Mission Critical Machine Type Communication using Gaussian Mixture Model based Clustering

Andreas Weinand, Michael Karrenbauer, Ji Lianghai +1

The application of Mission Critical Machine Type Communication (MC-MTC) in wireless systems is currently a hot research topic. Wireless systems are considered to provide numerous a…

cs.IT2017

Probabilistically-Shaped Coded Modulation with Hard Decision Decoding for Coherent Optical Systems

Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva

We consider probabilistic shaping to maximize the achievable information rate of coded modulation (CM) with hard decision decoding. The proposed scheme using binary staircase codes…

math.OC2017

Constrained Spacecraft Relative Motion Planning Exploiting Periodic Natural Motion Trajectories and Invariance

Gregory R. Frey, Christopher D. Petersen, Frederick A. Leve +2

Spacecraft relative motion planning is concerned with the design and execution of maneuvers relative to a nominal target. These types of maneuvers are frequently utilized in missio…