17 papers · ranked by Valyu relevance
Shang-En Tsai
Specular glare on reflective floors, glass boundaries, and glossy indoor surfaces frequently corrupts active-stereo RGB-D depth measurements, producing holes and spikes that accumulate as persistent phantom obstacles in occupancy-grid costmaps. This paper presents a glare-resilient costmap construction method based on…
Yonghao Li, Fan Wu, Ping Ye, Qingxuan Jia + 1 more
Multi-agent perceptual map construction and long-term maintenance constitute an important paradigm for improving adaptability and real-world applicability. With the outstanding capability of 3D Gaussian Splatting in preserving fine-grained texture details, a number of 3DGS-based real-time mapping approaches have…
Xiaoshuai Hao, Mengchuan Wei, Yifan Yang, Haimei Zhao + 6 more
'Yi Zhou' 'Qiang Wang' 'Weiming Li' 'Lingdong Kong' 'Jing Zhang'] Driving systems often rely on high-definition (HD) maps for precise environmental information, which is crucial for planning and navigation. While current HD map constructors perform well under ideal conditions, their resilience to real-world challenges…
Sven Richter, Frank Bieder, Sascha Wirges, Christoph Stiller
—We present a new method to combine evidential topview grid maps estimated based on heterogeneous sensor sources. Dempster's combination rule that is usually applied in this context provides undesired results with highly conflicting inputs. Therefore, we use more advanced evidential reasoning techniques and improve the…
Reza Sadeghian, Niloofar Hooshyaripour, Chris Joslin, Won‐Sook Lee
Accurate and robust 3D object detection is essential for autonomous driving, where fusing data from sensors like LiDAR and camera enhances detection accuracy. However, sensor malfunctions, such as corruption or disconnection, can degrade performance, and existing fusion models often struggle to maintain reliability…
Johannes Müller, Michael Gabb, Michael B. Buchholz
— Use of cooperative information, distributed by road-side units, offers large potential for intelligent vehicles (IVs). As vehicle automation progresses and cooperative perception is used to fill the blind spots of onboard sensors, the question of reliability of the data becomes increasingly important in safety…
Juliane H. Fröhner, Vanessa Teckentrup, Michael N. Smolka, Nils B. Kroemer
To cast valid predictions of future behavior or diagnose disorders, the reliable measurement of a “biomarker” such as the brain activation to prospective reward is a prerequisite. Surprisingly, only a small fraction of functional magnetic resonance imaging (fMRI) studies report or cite the reliability of brain…
Hongming Fan, Jindou Shi, Zhongtian Yang, Alexander Ho + 4 more
Label-free optical redox imaging utilizes endogenous NAD(P)H and FAD autofluorescence to evaluate metabolism in living specimens. The conventional optical redox ratio collapses these two channels into a single value; however, it does not indicate whether a pixel has sufficient photon support or the cellular context…
Alok Bharadwaj, Reinier de Bruin, Arjen J. Jakobi
Cryogenic sample electron microscopy (cryo-EM) maps often display uneven quality, with high-resolution features coexisting alongside weak or poorly ordered regions. Such variation complicates structural interpretation, especially for heterogeneous macromolecular assemblies. Here, we present LocScale-2.0, a…
Michael I. Demidenko, Jeanette A. Mumford, Russell A. Poldrack
Empirical studies reporting low test-retest reliability of individual blood oxygen-level dependent (BOLD) signal estimates in functional magnetic resonance imaging (fMRI) data have resurrected interest among cognitive neuroscientists in methods that may improve reliability in fMRI. Over the last decade, several…
De Jong Yeong, Krishna Panduru, Joseph Walsh, Sergey Y. Yurish
Autonomous vehicles (AVs) rely heavily on multi-sensor fusion to perceive their environment and make critical, real-time decisions by integrating data from various sensors such as radar, cameras, Lidar, and GPS. However, the complexity of these systems often leads to a lack of transparency, posing challenges in terms…
Awad Ali, Dayang N. A. Jawawi, Mohd Adham Isa, Muhammad Imran Babar + 1 more
'Yong Deng'] Behaviour models are the most commonly used input for predicting the reliability of a software system at the early design stage. A component behaviour model reveals the structure and behaviour of the component during the execution of system-level functionalities. There are various challenges related to…
Awad Ali, Mohammed Bakri Bashir, Alzubair Hassan, Rafik Hamza + 5 more
'Samar M. Alqhtani' 'Tawfeeg Mohmmed Tawfeeg' 'Adil Yousif' 'Juan M. Corchado' 'Naveen Chilamkurti'] Software reliability is prioritised as the most critical quality attribute. Reliability prediction models participate in the prevention of software failures which can cause vital events and disastrous consequences in…
Aleš Filip, Francesco Rispoli
The Global Navigation Satellite System (GNSS) is widely used for air traffic management-more than 150,000 aircraft and 5000 airports worldwide are equipped with SBAS (Satellite-based augmentation system) technology, which contributes to safer and more efficient air operations. The next challenge is to extend GNSS…
Enrico Petritoli, Fabio Leccese, Lorenzo Ciani
This paper focuses on the development of a new logistic approach based on reliability and maintenance assessment, with the final aim of establishing a more efficient interval for the maintenance activities for Unmanned Aerial Vehicles (UAV). In the first part, we develop an architectural philosophy to obtain a more…
Timothy Lawn, Johan Nakuci, Steve CR Williams, Federico Turkheimer + 1 more
Analyses of neuroimaging data increasingly leverage the distribution of neurotransmitter receptors derived from Positron Emission Tomography (PET) to bridge the gap between micro- and macro-scale brain function. However, these receptor maps are highly spatially overlapping which can give rise to interpretive and…
Authors not listed
Identifying molecular structure based on spectroscopic readings is a key task in a va- riety of chemical and biological applications. Common spectroscopy techniques, such as Infrared (IR) Spectroscopy and Mass Spectrometry (MS), provide detailed information on the structure of molecular compounds but nonetheless…