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Articles 841 - 870 of 74979

Full-Text Articles in Engineering

Numerical Investigation Of Highly Efficient Chlorine-Doped Perovskite Solar Cells, Md Abdul K Sheikh, Md Shazarul Islam, Hasina Huq Feb 2026

Numerical Investigation Of Highly Efficient Chlorine-Doped Perovskite Solar Cells, Md Abdul K Sheikh, Md Shazarul Islam, Hasina Huq

Electrical and Computer Engineering Faculty Publications

In this study, we present a comprehensive numerical investigation of chlorine-doped perovskite solar cells using the SCAPS-1D simulation framework, with the device structure ITO/ZnO/CH3NH3PbI3−xClx/NiOx/Au. This work focuses on optimizing active-layer properties and compositional engineering to enhance photovoltaic performance. Initially, the influence of absorber thickness on device parameters was investigated, revealing that CH3NH3PbI3 achieves optimal performance at 800 nm thickness, delivering a power conversion efficiency (PCE) of 24.17%, along with a short circuit current density (Jsc) of 25.31 mA cm−2, an open circuit voltage (Voc) of 1.15 V, and a fill factor (FF) of 82.75%. Subsequently, chlorine incorporation was systematically varied …

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In Situ Detection Of Dead Cells From Live Cells Via A Dc Plus Low Frequency Ac Resistive Pulse Sensor, Jiang Zhe, Ge Zhang, Joseph Ketchum, Ashely Wong Feb 2026

In Situ Detection Of Dead Cells From Live Cells Via A Dc Plus Low Frequency Ac Resistive Pulse Sensor, Jiang Zhe, Ge Zhang, Joseph Ketchum, Ashely Wong

University Research

Differentiation and detection of live and dead cells are critical for assessing cell viability in biomedical research, evaluating drug efficacy, and monitoring cytotoxicity in therapeutic applications. We present a microfluidic sensor that consists of two successive resistive pulse sensing channels. An excitation signal composed of a low-frequency AC (75 kHz) component and a DC bias was used to measure four key parameters. Through the AC measurement, differences in cell impedance causes variations in phase angle and voltage peak. From the DC measurement, cell size can be inferred from the resistive pulse magnitude, and the cell’s zeta potential is represented by …

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Solar Backscatter Ultraviolet (Buv) Retrievals Of Mid-Stratospheric Aerosols From The 2022 Hunga Eruption, Robert J.D. Spurr, Matt Christi, Nickolay A. Krotkov, Won Ei Choi, Simon Carn, Can Li, Et Al. Feb 2026

Solar Backscatter Ultraviolet (Buv) Retrievals Of Mid-Stratospheric Aerosols From The 2022 Hunga Eruption, Robert J.D. Spurr, Matt Christi, Nickolay A. Krotkov, Won Ei Choi, Simon Carn, Can Li, Et Al.

Michigan Tech Publications

On 15 January 2022, a highly explosive eruption of the submarine Hunga volcano (Kingdom of Tonga) generated the largest stratospheric hydration event ever observed and the largest aerosol perturbation since the 1991 Pinatubo eruption. Here, we develop a novel method for satellite retrieval of stratospheric aerosol optical depth (AOD) and layer peak height (zp) using solar backscattered ultraviolet (BUV) radiation; this is made possible by the exceptional mid-stratospheric altitude of the Hunga aerosols. We analyze BUV observations of the Hunga stratospheric aerosol cloud on 17 January 2022 (47 h after the eruption), using BUV band 1 measurements from the TROPOspheric …

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Dynamic Soliton Solutions And Stability Analysis Of The (2+1)-Dimensional Wazwaz Kaur Boussinesq Equation Using An Efficient Method, Nivan Mohamed Elsonbaty, Hamdy Mohamed Ahmed, Niveen Mohamed Badra, Wafaa B. Rabie Feb 2026

Dynamic Soliton Solutions And Stability Analysis Of The (2+1)-Dimensional Wazwaz Kaur Boussinesq Equation Using An Efficient Method, Nivan Mohamed Elsonbaty, Hamdy Mohamed Ahmed, Niveen Mohamed Badra, Wafaa B. Rabie

Basic Science Engineering

This paper presents the first application of the Modified Extended Direct Algebraic (MEDA) method to the (2+1)-dimensional Wazwaz-Kaur-Boussinesq equation, a model governing wave dynamics in shallow waters. The approach successfully uncovers previously unreported classes of exact solutions, including combo dark–singular solitons and Jacobi elliptic function solutions. The spectrum of obtained solutions–which also encompasses bright, dark, and singular solitons, as well as hyperbolic, periodic, exponential, and rational functions–reveals rich and complex soliton dynamics. A comprehensive stability analysis confirms the robustness of these solutions under perturbation. These results significantly advance the understanding of wave propagation in nonlinear systems, providing valuable insights for …

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Uav-Deployable Open-Source Sensor Nodes For Spatial And Temporal In Situ Water Quality Monitoring And Mapping, Matthew Burnett, Mohamed Abdelwahab, Joud N. Satme, Austin Downey, Gabriel Barahona Smith, Antonio Fonce, Jasim Imran Feb 2026

Uav-Deployable Open-Source Sensor Nodes For Spatial And Temporal In Situ Water Quality Monitoring And Mapping, Matthew Burnett, Mohamed Abdelwahab, Joud N. Satme, Austin Downey, Gabriel Barahona Smith, Antonio Fonce, Jasim Imran

Faculty Publications

Cost efficient, spatially resolved water quality monitoring is essential for managing pollution and protecting aquatic ecosystems. This study presents a low-cost (approximately USD 200), open-source, unmanned aerial vehicle (UAV)-deployable in situ sensor node for real-time assessment of surface-water conditions. The system integrates sensors for pH, turbidity, temperature, and total dissolved solids (TDSs), with onboard data logging and real-time clock (RTC) synchronization. Bench validation of the sensor package yielded mean absolute percentage errors of 1.34% for pH, 5.23% for TDS, and 0.81% for temperature, and the device operated continuously for 42 h. Field deployment demonstrated its ability to resolve spatial gradients, …

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An Autonomous Robotic System For Object Retrieval And Delivery: Enhancing Independence For Users Living With Disability And Older Adults, Jincheng Li, Chenghao Lin, Amna Mazen, Youssef A. Bazzi Feb 2026

An Autonomous Robotic System For Object Retrieval And Delivery: Enhancing Independence For Users Living With Disability And Older Adults, Jincheng Li, Chenghao Lin, Amna Mazen, Youssef A. Bazzi

Michigan Tech Publications

As the global population ages, there is a growing need for assistive technologies to help older adults maintain their independence. This work presents a cost-effective autonomous socially assistive robot designed for object retrieval and delivery, enhancing accessibility in home environments. The system is built on the Robot Operating System (ROS) framework and integrates three key components: the Pioneer P3-DX mobile robot for autonomous navigation, the ReactorX-200 robotic arm for pick-and-place operations, and the Kinect v2 RGB-D camera for object detection and localization. Users interact with the robot through natural language processing by issuing voice commands to retrieve various objects. Microsoft …

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Resilient Grid Architectures For High Renewable Penetration: Electrical Engineering Strategies For 2030 And Beyond, Ehab Bayoumi Feb 2026

Resilient Grid Architectures For High Renewable Penetration: Electrical Engineering Strategies For 2030 And Beyond, Ehab Bayoumi

Mechanical Engineering

The global shift toward decarbonized power systems is driving unprecedented penetration of variable renewable energy sources, especially wind and solar PV. Legacy grid architectures, built around centralized, dispatchable synchronous generation, are ill-suited to manage the bidirectional power flows, reduced inertia, and new stability constraints introduced by inverter-based resources. Existing research offers deep but fragmented insights into individual elements of this transition, such as advanced power electronics, microgrids, or market design, but rarely integrates them into a coherent architectural vision for resilient, high-renewable grids. This review closes that gap by synthesizing technical, architectural, and institutional perspectives into a unified framework for …

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A Comprehensive Review Of Food Waste Management In Attaining Sdg 12.3 Goals: Insights From Asian Countries, Ping Hu, Lotifa Tamanna Toma, Ashraful Alam, Md. Tanvir Ahmmed, Md. Jahidul Islam, Kazi Farhana, Marjia Sultana, Miraj Ahmed Bhuiyan Feb 2026

A Comprehensive Review Of Food Waste Management In Attaining Sdg 12.3 Goals: Insights From Asian Countries, Ping Hu, Lotifa Tamanna Toma, Ashraful Alam, Md. Tanvir Ahmmed, Md. Jahidul Islam, Kazi Farhana, Marjia Sultana, Miraj Ahmed Bhuiyan

Civil and Environmental Engineering Faculty Publications and Presentations

Food waste is one of the most important world-wide challenges whose environmental, economic and social impacts have far-reaching effects that include contributing to greenhouse gas emissions, resources depletion as well as the rising levels of food insecurity. These problems are further intensified in Asia due to high rate of urbanization, population growth, changing dietary habits, and lack of waste management facilities. These conditions complicate the fact that countries are increasingly struggling to achieve the United Nations Sustainable Development Goal (SDG) 12.3, which is to ensure that by 2030, half of the world has dropped per-capita food waste, and food losses …

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Mechanism And Performance Characterization Of Dry-Process Asphalt Mixtures Modified With Ldpe/Eva/Sbs Composite Particles, Zhengwei Yi, Junhong Jiang, Xiaoxuan Du, Xiangyang Ren, Dongzhao Jin, Tai Sheng, Xiaoxue Li, Hongfu Liu Feb 2026

Mechanism And Performance Characterization Of Dry-Process Asphalt Mixtures Modified With Ldpe/Eva/Sbs Composite Particles, Zhengwei Yi, Junhong Jiang, Xiaoxuan Du, Xiangyang Ren, Dongzhao Jin, Tai Sheng, Xiaoxue Li, Hongfu Liu

Michigan Tech Publications

This study employed a dry-process method to prepare SBS/recycled LDPE/EVA composite-modified particles (CMP) for asphalt mixture modification. Conventional performance tests, including penetration tests, determined the optimal CMP dosage to be 8% by mass of asphalt. The rheological properties and microstructure of base asphalt, SBS-modified asphalt, and composite-modified asphalt were systematically compared, and the road performance of the corresponding mixtures was evaluated. The results demonstrated that the composite modifier forms a uniform elastic network within the asphalt, significantly enhancing both high- and low-temperature performance and fatigue life while also improving thermal stability and deformation resistance. The modification mechanism is predominantly based …

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Structural And Mechanical Properties Facilitate Shock Wave Damping By Helmet-Like Orbital Hoods In Snapping Shrimp, Mia Kazel, Rebekah E. Cammack, Alexandra C.N. Kingston, Ahmed A. Alshareef, Tarek Shazly, Daniel Isaac Speiser Feb 2026

Structural And Mechanical Properties Facilitate Shock Wave Damping By Helmet-Like Orbital Hoods In Snapping Shrimp, Mia Kazel, Rebekah E. Cammack, Alexandra C.N. Kingston, Ahmed A. Alshareef, Tarek Shazly, Daniel Isaac Speiser

Faculty Publications

Snapping shrimp damp the shock waves they produce and use as weapons with a helmet-like structure termed the orbital hood. Here, we ask how structural and material properties contribute to shock wave damping by orbital hoods in Alpheus heterochaelis. Using tensile mechanical testing, we find orbital hoods are approximately half as stiff as carapace and have twice the capacity for viscous energy dissipation. Microstructural features probably contribute to tissue-specific mechanical properties: the endocuticles of orbital hoods have almost twice as many lamellae as those of carapaces despite being half as thick, suggesting a mechanism for enhanced material mobility underlying …

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Striation Characteristics In Atmospheric Pressure Ac-Driven Glow Discharge Operating In Monoatomic Gas, Ayuob K. Alwahaibi, Sang Hee Won, Tanvir Farouk Feb 2026

Striation Characteristics In Atmospheric Pressure Ac-Driven Glow Discharge Operating In Monoatomic Gas, Ayuob K. Alwahaibi, Sang Hee Won, Tanvir Farouk

Faculty Publications

Striation in an atmospheric pressure AC-driven helium glow discharge operating at 25 kHz is experimentally characterized. Striation behavior is characterized by the visualization of discharges and voltage–current measurements over a range of plasma power. Voltage–current characteris tics reveal that striations form in the “normal” glow regime of operation, with a higher number of strata at low current, diminishing as dis charge current increases. The relative differences and similarities in the striation patterns during the positive and negative cycles are identified. High-speed imaging shows the striations to be traveling in time—“moving striations.” The spatial luminosity of the striations is tracked over …

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Cationic Poly(Glucosamine)-Based Polymers Bind To Glycans With Varying Affinity Facilitating Transport Across The Glycocalyx Of Endothelial Cells, Claire Bridges, Lu Fu, Dan Wang, James D. Sterling, Susanna Liang, Shenda M. Baker, Jonathan Yeow, Megan S. Lord Feb 2026

Cationic Poly(Glucosamine)-Based Polymers Bind To Glycans With Varying Affinity Facilitating Transport Across The Glycocalyx Of Endothelial Cells, Claire Bridges, Lu Fu, Dan Wang, James D. Sterling, Susanna Liang, Shenda M. Baker, Jonathan Yeow, Megan S. Lord

Business and Information Technology Faculty Research & Creative Works

Natural polysaccharides, such as chitosan, offer promising avenues for drug delivery due to their cytocompatibility and ability to interact with cell surfaces. However, the endothelial glycocalyx, a glycan-rich extracellular matrix, presents a barrier that must be navigated for effective intracellular delivery. This study investigates how cationic poly(glucosamine)-based polymers, functionalized with guanidinium or ammonium groups, interact with key glycocalyx components including hyaluronan (HA) and heparan sulfate (HS). We demonstrate that these cationic polymers form tunable biomolecular condensates with glycans, with stronger binding observed for sulfated glycans, HS and heparin, than unsulfated HA. Derivatized chitosan polymers with varied cationic side chains exhibit …

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Implementation Of Soil Improvement Techniques In The Dhaka Mass Rapid Transit Project A Comprehensive Case Study, Shoma Hore, Mosharof Al Alim, Maliha Farjana, Monir Hossain, Ripon Hore Feb 2026

Implementation Of Soil Improvement Techniques In The Dhaka Mass Rapid Transit Project A Comprehensive Case Study, Shoma Hore, Mosharof Al Alim, Maliha Farjana, Monir Hossain, Ripon Hore

Civil and Environmental Engineering Faculty Publications and Presentations

This paper evaluates Sand Compaction Pile (SCP) and Dynamic Compaction (DC) methods for enhancing soft soil in the Dhaka Mass Rapid Transit (MRT) project. Targeted interventions were required for the stratified soil profile, consisting of liquefiable sand (3–5 m thick) over soft clay (SPT ∼5): dynamic compaction for densifying the sand layer and soil-cement piles for stabilizing the underlying clay. Post-treatment Standard Penetration Test (SPT) values indicated that DC significantly improved the sand layer (SPT rose to 15–25) while SCP effectively strengthened the clay (SPT increased to 8–12). The Tongi-to-Uttara section (CP01) simultaneously addressed liquefaction concerns and settlement issues through …

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Hyaluronan 35 Prevents Endotoxin-Mediated Dysregulated Skeletal Muscle Proteostasis During Ethanol Exposure, Nicole Welch, Pugazhendhi Kannan, Gangarao Davuluri, Annette Bellar, Amy H. Attaway, Saurabh Mishra, Jasmin A. Cunningham, Avinash Kumar, Ryan Musich, Elif G. Ertugral, Vandana Agrawal, Isaac L. Hu, Terri J. Hartford, Noah L. Weisleder, Vidula T. Vachharajani, Chandrasekhar R. Kothapalli Feb 2026

Hyaluronan 35 Prevents Endotoxin-Mediated Dysregulated Skeletal Muscle Proteostasis During Ethanol Exposure, Nicole Welch, Pugazhendhi Kannan, Gangarao Davuluri, Annette Bellar, Amy H. Attaway, Saurabh Mishra, Jasmin A. Cunningham, Avinash Kumar, Ryan Musich, Elif G. Ertugral, Vandana Agrawal, Isaac L. Hu, Terri J. Hartford, Noah L. Weisleder, Vidula T. Vachharajani, Chandrasekhar R. Kothapalli

Chemical & Biomedical Engineering Faculty Publications

Sarcopenia in alcohol-related liver disease (ALD) is of high clinical significance, but there are no effective treatments. Hyaluronan 35 kDa (HA35), a glycosaminoglycan polymer, modulates responses to Toll-like receptor 4 (TLR4), a lipopolysaccharide receptor, to improve hepatic and macrophage function in ALD. We evaluated skeletal muscle responses to HA35 in preclinical models of ALD. Responses to ethanol, lipopolysaccharide (LPS), and HA35 were studied in differentiated murine C2C12/human-induced pluripotent stem cell (hiPSC)-derived myotubes, and wild-type/HA receptor CD44 knockout (CD44(-/-)) mouse models of ALD (mALD). Signaling molecules and measures of protein homeostasis (proteostasis) were quantified by immunoblots, mitochondrial oxidative function was determined …

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Diverse Enteric Bacterial, Viral, And Parasitic Pathogen Genes Are Shed In Animal Feces In Indiana, Anna A. Heintzman, Ishi Keenum, Drew Capone Feb 2026

Diverse Enteric Bacterial, Viral, And Parasitic Pathogen Genes Are Shed In Animal Feces In Indiana, Anna A. Heintzman, Ishi Keenum, Drew Capone

Michigan Tech Publications

Southern Indiana has intensive livestock production, yet species-resolved fecal pathogen and pathogen associated gene profiles are limited. At 10 sites in southern Indiana (April-June 2024), we collected 128 fecal specimens from 10 hosts: pigs (n=12), horses (12), cats (12), chickens (12), dogs (22), white-tailed deer (12), sheep (12), goats (12), cows (12), and humans (10). We extracted and assayed total nucleic acids using a custom 43-target TaqMan Array Card (RT-qPCR). Flotation microscopy was performed on pig and dog stools for helminth ova. In-silico specificity checks were conducted for selected targets due to potential for cross reactivity between pathogen species. Most …

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Artificial Intelligence And Additive Manufacturing As A Coupled Design System: Rethinking Inference, Manufacturability, And Design Education, Charul Chadha, Garth Crosby, Sabit Ekin, Mohamed Gharib, Eman Hammad, Congrui Jin, Ali Ahmad Malik, Noemi Mendoza Diaz, Calahan Mollan, Monsuru Ramoni Feb 2026

Artificial Intelligence And Additive Manufacturing As A Coupled Design System: Rethinking Inference, Manufacturability, And Design Education, Charul Chadha, Garth Crosby, Sabit Ekin, Mohamed Gharib, Eman Hammad, Congrui Jin, Ali Ahmad Malik, Noemi Mendoza Diaz, Calahan Mollan, Monsuru Ramoni

Manufacturing & Industrial Engineering Faculty Publications

Artificial intelligence (AI) is becoming deeply integrated into additive manufacturing (AM) workflows, reshaping how designers approach geometry, materials, and process constraints. AI holds significant potential by accelerating design exploration, revealing complex patterns in AM behavior, and supporting earlier assessment of manufacturability. At the same time, it introduces new risks related to model transparency, data quality, physical validity, and the potential for overreliance by students and practitioners. This perspective examines these issues through four guiding questions that address the role of AI in AM-enabled design, the gaps that limit or enable AI contribution, the implications for engineering education, and the responsibilities …

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Wads 3d Object Detection Dataset (Wads-3d) - Sequence 12, Yiming Yang, Jeremy P. Bos Feb 2026

Wads 3d Object Detection Dataset (Wads-3d) - Sequence 12, Yiming Yang, Jeremy P. Bos

WADS-3D

WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.

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Wads 3d Object Detection Dataset (Wads-3d) - Sequence 16, Yiming Yang, Jeremy P. Bos Feb 2026

Wads 3d Object Detection Dataset (Wads-3d) - Sequence 16, Yiming Yang, Jeremy P. Bos

WADS-3D

WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.

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Wads 3d Object Detection Dataset (Wads-3d) - Sequence 20, Yiming Yang, Jeremy P. Bos Feb 2026

Wads 3d Object Detection Dataset (Wads-3d) - Sequence 20, Yiming Yang, Jeremy P. Bos

WADS-3D

WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.

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Wads 3d Object Detection Dataset (Wads-3d) - Sequence 34, Yiming Yang, Jeremy P. Bos Feb 2026

Wads 3d Object Detection Dataset (Wads-3d) - Sequence 34, Yiming Yang, Jeremy P. Bos

WADS-3D

WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.

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Wads 3d Object Detection Dataset (Wads-3d) - Sequence 76, Yiming Yang, Jeremy P. Bos Feb 2026

Wads 3d Object Detection Dataset (Wads-3d) - Sequence 76, Yiming Yang, Jeremy P. Bos

WADS-3D

WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.

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Bulk Absorber Acoustic Characterization Via The Two-Cavity Impedance Tube Methoda), Anthony Ciletti, Janith Godakawela, Martha Brown, Bhisham Sharma Feb 2026

Bulk Absorber Acoustic Characterization Via The Two-Cavity Impedance Tube Methoda), Anthony Ciletti, Janith Godakawela, Martha Brown, Bhisham Sharma

Michigan Tech Publications

The primary goal of this study is to investigate and refine the two-cavity impedance tube method for acoustic characterization of bulk porous materials, specifically addressing previously unexplained inaccuracies in the prediction of surface impedance and absorption coefficients. Unlike the conventional two-thickness approach, the two-cavity method requires only one sample thickness and involves conducting measurements at various air cavity depths behind the sample. The initial analyses revealed previously unidentified numerical instabilities, resulting in anomalous predictions of sound absorption at specific frequencies. Through systematic investigation and use of calculated data, the numerical origins of these anomalies are uncovered and a practical solution, …

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Wads 3d Object Detection Dataset (Wads-3d) - Sequence 11, Yiming Yang, Jeremy P. Bos Feb 2026

Wads 3d Object Detection Dataset (Wads-3d) - Sequence 11, Yiming Yang, Jeremy P. Bos

WADS-3D

WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.

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Wads 3d Object Detection Dataset (Wads-3d) - Sequence 13, Yiming Yang, Jeremy P. Bos Feb 2026

Wads 3d Object Detection Dataset (Wads-3d) - Sequence 13, Yiming Yang, Jeremy P. Bos

WADS-3D

WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.

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Wads 3d Object Detection Dataset (Wads-3d) - Sequence 14, Yiming Yang, Jeremy P. Bos Feb 2026

Wads 3d Object Detection Dataset (Wads-3d) - Sequence 14, Yiming Yang, Jeremy P. Bos

WADS-3D

WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.

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Wads 3d Object Detection Dataset (Wads-3d) - Sequence 15, Yiming Yang, Jeremy P. Bos Feb 2026

Wads 3d Object Detection Dataset (Wads-3d) - Sequence 15, Yiming Yang, Jeremy P. Bos

WADS-3D

WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.

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Wads 3d Object Detection Dataset (Wads-3d) - Sequence 17, Yiming Yang, Jeremy P. Bos Feb 2026

Wads 3d Object Detection Dataset (Wads-3d) - Sequence 17, Yiming Yang, Jeremy P. Bos

WADS-3D

WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.

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Wads 3d Object Detection Dataset (Wads-3d) - Sequence 18, Yiming Yang, Jeremy P. Bos Feb 2026

Wads 3d Object Detection Dataset (Wads-3d) - Sequence 18, Yiming Yang, Jeremy P. Bos

WADS-3D

WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.

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Wads 3d Object Detection Dataset (Wads-3d) - Sequence 23, Yiming Yang, Jeremy P. Bos Feb 2026

Wads 3d Object Detection Dataset (Wads-3d) - Sequence 23, Yiming Yang, Jeremy P. Bos

WADS-3D

WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.

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Wads 3d Object Detection Dataset (Wads-3d) - Sequence 26, Yiming Yang, Jeremy P. Bos Feb 2026

Wads 3d Object Detection Dataset (Wads-3d) - Sequence 26, Yiming Yang, Jeremy P. Bos

WADS-3D

WADS-3D is a standard KITTI-format dataset designed for analyzing 3D object detection robustness in severe winter weather. Addressing the need for granular analysis of perception failure in snow, the dataset includes 4,100 frames and over 30,000 labeled car instances captured during heavy snowfall and winter-storm conditions. Derived from the large-scale multimodal WADS dataset, WADS-3D enables researchers to move beyond qualitative weather assessments and systematically evaluate how varying heavy snowfall intensities impact a wide range of neural network detectors.

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