TRACK A: Inertial Sensing and Technology
Track Chair: Dr. Andrey Soloviev, QuNav

Advances in MEMS-Based Inertial Sensors and Integrated Navigation Systems
Advances in MEMS-based inertial sensors, inertial measurement units (IMUs), inertial navigation systems (INS), and integrated navigation solutions. Topics include the development of low-cost, lightweight, low-power, and high-performance MEMS inertial sensors; innovative sensor designs and fabrication techniques; and methods for achieving reliable navigation in challenging operational environments. Contributions in calibration, error modeling, compensation, estimation, and sensor-fusion algorithms that address the unique characteristics and limitations of MEMS inertial sensors. Algorithms and methods that solve unique challenges of integrating MEMS inertial sensors into assured and resilient sensor-fusion PNT architectures. Methods for achieving reliable MEMS-based navigation in challenging operational environments, including artificial intelligence and machine learning approaches. 
Chairs:
Dr. Sergey Zotov, Emcore
Dr. Scott Martin, Auburn University

Inertial Vehicle Navigation
New developments in inertial navigation for autonomous and highly automated ground vehicles, uncrewed aircraft systems, marine vessels, and cooperative or swarm vehicle operations. Topics include the application of consumer-grade, tactical-grade, navigation-grade, and strategic-grade inertial sensors; innovative uses of inertial navigation to enable autonomous operation across diverse environments; and integration with motion constraints, sensor fusion, and autonomous control systems. Applications include navigation in GNSS-degraded and GNSS-denied environments, collaborative and multi-vehicle navigation, open-system architectures, and methods for navigation-system performance evaluation, error modeling, calibration, and compensation.
Chairs:
Dr. Timothy Needham, Ohio University
Kathleen Steadman, Auburn University

Innovations in Inertial Navigation Systems: Advanced Calibration and Precision  Timing Solutions
New developments in all grades of inertial navigation systems. Innovative designs, timing, and calibration techniques for IMUs, and inertial navigation systems. Precision time synchronization and time transfer. Applications include fiber optic gyros; calibration techniques; measurement error modeling and compensation; testing techniques; cold atom sensors; and low-power, high-performance MEMS, OCXO and atomic clocks. Topics of interest also include the integration of atomic clocks with inertial navigation systems, precision holdover techniques, timing-aided navigation, resilient PNT architectures, autonomous navigation, and applications in aerospace, defense, autonomous vehicles, and space systems. 
Chairs:
Dr. Thejesh Bandi, University of Alabama
Dr. Marius Gheorghe, Ideal Aerosmith

Quantum Navigation Technologies and Applications
Development and application of quantum sensing technologies for GNSS-denied and GNSS-challenged environments. Topics include novel quantum sensor designs and technologies, including atom interferometers, quantum accelerometers, quantum gyroscopes, magnetometers, gravimeters, and precision timing devices, as well as the performance characterization of precision inertial navigation systems enabled by quantum sensing. Contributions in estimation, filtering, and sensor-fusion techniques designed to exploit the precision and unique characteristics of quantum sensors, including nonlinear estimation, anomaly map matching, and integration with conventional navigation sensors. Applications include proof-of-concept demonstrations, sensor evaluation and validation, navigation-system architectures incorporating quantum sensing, and field testing in relevant environments.
Chairs:
Dr. Khanh Pham, Air Force Research Lab
Dr. Pawel Michalak, Advanced Navigation

Resilient Inertial Navigation Systems and Alternative Sensors
Development of resilient positioning, navigation, and timing (PNT) systems for operation in contested, denied, and degraded environments. Topics include system architectures, estimation, sensor-fusion and integrity algorithms, and signal-processing techniques for detecting, mitigating, and eliminating the effects of jamming, spoofing, and other intentional or unintentional sources of interference that degrade PNT performance. Contributions are encouraged in resilient navigation and integrity monitoring, and assured timing using IMUs, GNSS, and alternative signals and sensors, including LEO signals, vision, lidars and radars, and the use of magnetic and gravitational anomaly maps. Applications include assured PNT in environments where traditional GNSS-based positioning is unavailable, unreliable, or actively contested.
Chairs:
Dr. Ivan Smolyakov, Swift Navigation
Dr. Juan Carlos Oliveros, Northrop Grumman

TRACK B: Global Navigation Satellite Systems (GNSS)
Track Chair: Dr. Sandra Verhagen, Delft University of Technology

Integrity and Augmentation
Algorithm and requirement definition for accuracy, integrity, continuity and availability evaluation. Safety-critical applications that make use of ABAS (e.g., ARAIM), GBAS, SBAS and other safety critical GNSS technologies. Architecture and requirement allocation for augmentation systems including PPP/RTK services and LEO augmentation. Integrity of high accuracy GNSS algorithms. Nominal error modeling, classical and frequency domain over-bounding. Threat modeling and multi-measurement fault detection and exclusion. Instantaneous and sequential integrity risk bounding and protection level derivation. High-integrity sensor fusion and integrity budget allocation for individual sensors including IMU, barometers, camera or lidar. Integrity assessment of artificial intelligence algorithms. Integrity, continuity and availability of new multi-constellation systems, including using LEOs. Integrity of PNT systems that augment and complement GNSS (radar, DME/VOR/TACAN, LDACS, eLORAN, R-Mode).
Chairs:
Dr. Safoora Zaminpardaz, RMIT University
Dr. Jason Rife, Tufts University

Interference, Jamming, and Spoofing
Signal processing fundamentals of interference, jamming and spoofing. Controlled jamming/ spoofing for denial of service. Robust GNSS solutions through complementary PNT (CPNT) or other means. GNSS/INS integration and antenna arrays as anti-jam/spoofing means. Applications in robust positioning and secure time transfer. Threat modeling, assessment, and mitigation. Receiver internal detection and mitigation. Terrestrial and space-based monitoring. Impact of security measures on the reliability and integrity of GNSS. GNSS signal authentication (OSNMA, CHIMERA, ACAS, commercial services).
Chairs:
Dr. Heidi Kuusniemi, Tampere University
Dr. Juan Blanch, Stanford University

LEO-PNT: Concepts, Systems and Use Cases
LEO-PNT is considered to increase accuracy, availability and robustness of existing GNSS systems by exploiting the multi-layer concept (MEO/LEO/terrestrial/sensors) of navigation. This session covers ideas to extend, augment, or replace existing GNSS while meeting similar or better performance metrics. LEO-PNT with GNSS-like signal structures. Fusion of communication and navigation signals. Exploitation of 3GPP standards. Link budget, regulative and interference considerations. Transmitter synchronization to GNSS time scales and considerations for high-accuracy (code/phase biases) and integrity. New space concepts, operations, inter-satellite links. Benefits at the user segment. Ground-segment and operations concepts.
Chairs:
Dr. Jason Anderson, Xona
Dr. Fabricio Prol, Finnish Geospatial Research Institute  

Precise Positioning and Atmosphere
Precise positioning with carrier phase-based techniques with or without multi-sensor setups (e.g., inertial or visual odometry). Multi-frequency, multi-constellation PPP, RTK or PPP-RTK. Results on low-cost and single frequency precise positioning. Contributions to Integer Ambiguity Resolutions (IAR), including Partial Ambiguity Resolution, innovative integer estimation solutions or IAR validity testing. Development of new estimators for the mixed model, such as Factor Graph Optimization or Robust and/or Machine Learning-aided filters. Modeling of ionospheric and tropospheric effects. Use of single- and multi-frequency receivers for atmospheric studies. Novel signal processing and machine learning methods for characterization and mitigation of atmospheric effects. Forecasting, now-casting, kriging, tomography. New application scenarios and mapping functions.
Chairs:
Dr. Michael Meurer, RWTH Aachen University
Dr. Daniel Medina, German Aerospace Center (DLR)

Receiver Design, Signal Processing, and Antenna Technology
Receivers, antennas, and processing methods for improving accuracy, reliability, or robustness of GNSS observables. Methods including (vector) tracking loops, (suboptimal) multi-antenna systems, beamforming (real/synthetic), use of polarization, and direction-of-arrival methods. Methods to minimize SWaP, and software-defined implementations. AI enhancements. Receiver methods specific for GNSS, LEO-PNT and fused signals. Synergies with communication receivers. GNSS/INS integration to increase sensitivity, accuracy and robustness.
Chairs:
Dr. Sanjeev Gunawardena, Air Force Institute of Technology
Dr. Jean-Marie Sleewaegen, Septentrio

TRACK C: Integrated and Opportunistic Navigation
Track Chair: Dr. Jiwon Seo, Yonsei University

Multisensor Integrated Systems and Sensor Fusion Technologies
Systems, algorithms and experimental demonstrations for tightly or loosely coupled multi-sensor navigation, integrating GNSS, INS/IMU, cameras, LiDAR, radar, barometer, magnetometer, radio signals and maps. Topics include Bayesian filtering, factor graph optimization, robust and certifiable sensor fusion, fault detection and exclusion, sensor/time calibration, cooperative and networked navigation, integrity-aware fusion, and performance evaluation in urban, indoor, aerial, ground and maritime applications. Both conventional model-based approaches and data-driven or hybrid methods are welcome, especially where they improve accuracy, availability, continuity, robustness or integrity.
Chairs:
Young-Hee Lee, German Aerospace Center (DLR)
Dr. Adyasha Mohanty, Harvey Mudd College

Navigation Using Environmental Features
New navigation techniques that use natural or man-made features of the surrounding environment, including magnetic, gravity and terrain maps, celestial cues, visual and acoustic features, sky-view and shadow patterns, microclimate/context, infrastructure maps, and semantic landmarks. Topics include feature extraction, classification, association, map construction and maintenance, terrain- and map-aided navigation, magnetic-field SLAM, celestial and polarization navigation, cooperative 3-D mapping, environmental context detection, and multi-feature fusion for robust PNT in GNSS-denied or  degraded environments.
Chairs:
Dr. Tucker Haydon, Sandia National Labs
Dr. Yoko Watanabe, ONERA

Non-Terrestrial Signals of Opportunity-Based Navigation Systems
Developments and techniques for positioning, navigation and timing using non-terrestrial signals of opportunity, including LEO mega-constellations, legacy LEO systems, MEO/GEO satellites, HAPS, lunar/cislunar links and emerging non-terrestrial network (NTN) signals. Topics include blind signal acquisition, Doppler/TOA/FOA/DOA estimation, poorly known ephemeris and clock handling, differential and collaborative LEO PNT, multi-constellation opportunistic navigation, signal characterization, synchronization, integrity and experimental demonstrations with ground, aerial, maritime or space users.
Chairs:
Dr. Sean Krzyzewski, Air Force Research Laboratory
Dr. Ottavio Picchi, Ext. Consultant/JRC European Commission

Terrestrial Signals of Opportunity-Based Navigation Systems
New and improved terrestrial signal-of-opportunity navigation using cellular 4G/5G/6G, Wi-Fi, UWB, Bluetooth/BLE, RFID, HD Radio/DAB, digital TV, LDACS, R-Mode, eLORAN and other terrestrial radio systems. Topics include direct positioning, ranging, TDOA/AOA/FOA/DOA methods, fingerprinting, device-free localization, multipath-aware processing, machine-learning-assisted calibration and training, indoor–outdoor continuity, crowdsourcing, and hybrid fusion of terrestrial SOPs with GNSS, inertial sensors, maps and non-terrestrial SOPs.
Chairs:
Albrecht Michler, TU Dresden University of Technology
Shaghayegh Shahcheraghi, The Ohio State University

Vision, Radar and Lidar-Based Navigation Systems
Systems and advanced algorithms for navigation based on vision, radar, LiDAR, event cameras, ground-penetrating radar, and multi-modal perception in GNSS-challenged environments. Topics include visual/inertial and LiDAR/inertial odometry, radar odometry, map-based localization, SLAM, cooperative perception-aided navigation using shared visual, radar, and LiDAR features, object-level and semantic mapping, AI/ML-enabled exteroceptive perception, sensor modeling and calibration, feature extraction, data association, perception integrity, resilience to spoofing or degradation, real-time and/or offline implementations, and validation for UAVs, ground vehicles, mobile robots, augmented-reality systems, and pedestrian applications. 
Chairs:
Dr. Flavia Causa, University of Naples Federico II
Dr. Sangkyung Sung, Konkuk University

TRACK D: Applications of Positioning Technologies
Track Chair: Dr. Ali Abdallah, Google

Aerial Vehicle Navigation
Next-generation guidance, navigation, and perception systems for crewed aviation and uncrewed aerial vehicles (UAVs). Solutions for collaborative swarm navigation, agile map building, and secure tele-operation. Resilient flight operations and state estimation in GNSS-challenged or completely denied airspace. Sensor fusion and algorithms enabling reliable sense-and-avoid capabilities for safe integration into the national airspace. Progress toward certification of new navigation and sense-and-avoid technologies. Domain-specific UAV applications highlighting unique operational constraints, SWaP-C limitations, and rigorous verification and validation processes for safety-critical aerial navigation systems.
Chairs:
Dr. Andrew Neish, Reliable Robotics
Dr. Joshua Morales, StarNav

AI and Machine Learning for PNT
Foundational and applied artificial intelligence and machine learning techniques designed to augment positioning, navigation, and timing architectures across the space, air, surface, and sub-surface domains. Advanced algorithms for state estimation, robust data fusion, system identification, and anomaly or fault detection. Development of integrity assurance frameworks, explainability, and certification pathways for AI-driven multi-sensor integrated navigation systems. Leveraging big data analytics, physics-enhanced methods, or deep, reinforcement, active, and machine learning (DRAML) to support guidance and autonomous operations. Current implementations, future visions, and critical challenges of deploying data-driven models in safety-critical autonomous navigation.
Chairs:
Dr. Erik Blasch, Air Force Office of Scientific Research
Dr. Tobias Feigl, Fraunhofer IIS

Ground and Marine Vehicle Navigation
Advanced guidance, navigation, and control (GNC) architectures tailored for autonomous ground vehicles, uncrewed surface vessels (USVs), and uncrewed underwater vehicles. Innovative approaches to multi-modal sensing, environmental perception, and dynamic map building for single agents and cooperative multi-agent fleets across land and maritime domains. Robust localization and driverless operations in urban canyons, strictly GNSS-denied environments, and deep-water or littoral regions. State-of-the-art algorithms for real-time global path planning, local obstacle avoidance, and visual sensing for advanced driver-assistance systems (ADAS). Exploitation of terrain-based navigation, geomagnetic fields, Doppler velocity logs, bio-inspired sonar elements, and acoustic SLAM methodologies to sustain accurate long-term positioning. Rigorous validation, verification, and testing of surface, subsurface, and ground vehicle GNC frameworks.
Chairs:
Dr. Christian Gentner, German Aerospace Center (DLR)
Dr. Hadi Wassaf, Volpe DOT

PNT for Smart Cities and Urban Mobility
Critical role of positioning, navigation, and timing (PNT) in the evolution of smart cities and intelligent transportation systems (ITS). Integration of PNT with vehicle-to-everything (V2X) communications, 5G/6G infrastructure, and the Internet of Things (IoT) to support autonomous fleets, urban air mobility (UAM), and last-mile delivery. Precise timing for smart grids, cooperative navigation leveraging connected city infrastructure, and crowd-sourced urban mapping. Resilient localization strategies for dense, multipath-heavy urban canyons, subterranean transit networks, and smart buildings. Seamless indoor-outdoor navigation transitions and precise indoor positioning for intelligent infrastructure.
Chairs:
Dr. Zak Kassas, The Ohio State University
Dr. Boris Pervan, Illinois Institute of Technology 

Robotic and Pedestrian Navigation
Innovative localization, dynamic map building, and simultaneous localization and mapping (SLAM) techniques for legged, service, and humanoid robots, as well as pedestrians navigating infrastructure-degraded, unstructured, or indoor environments. Algorithmic advances in human motion modeling, kinematic pose estimation, and semantic environmental perception in highly dynamic settings. Sensor fusion architectures integrating inertial data with vision, LiDAR, 5G, UWB, Wi-Fi, and BLE for continuous tracking. Development of wearable, foot-mounted, and specialized biomechanical navigation platforms. Tailored positioning applications supporting emergency first responders, visually impaired navigation, sports analytics, and human-robot interaction.
Chairs:
Dr. Mohammed Khider, Google
Dr. Eva Buchmayer, Graz University of Technology