A5018647935- Remote Sensing and LiDAR Applications
- Robotics and Sensor-Based Localization
- 3D Surveying and Cultural Heritage
- Indoor and Outdoor Localization Technologies
- Inertial Sensor and Navigation
- GNSS positioning and interference
- Satellite Image Processing and Photogrammetry
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Optical Sensing Technologies
- Underwater Vehicles and Communication Systems
- Advanced Image and Video Retrieval Techniques
- Automated Road and Building Extraction
- Geophysics and Gravity Measurements
- Advanced Vision and Imaging
- Traffic Prediction and Management Techniques
- 3D Modeling in Geospatial Applications
- Autonomous Vehicle Technology and Safety
- Robotic Path Planning Algorithms
- Landslides and related hazards
- Cryospheric studies and observations
- Video Surveillance and Tracking Methods
- Ultra-Wideband Communications Technology
- Fire effects on ecosystems
- Remote Sensing in Agriculture
- Context-Aware Activity Recognition Systems
The Ohio State University
2015-2024
Consejo Nacional de Investigaciones Científicas y Técnicas
2018
Centro de Estudios Científicos
2018
Universidade Federal do Paraná
2009
Columbus Center
2008
Yale University
1999
Suffolk University
1996
Recent developments in sensor technologies such as Global Navigation Satellite Systems (GNSS), Inertial Measurement Unit (IMU), Light Detection and Ranging (LiDAR), radar, camera have led to emerging state-of-the-art autonomous systems, driverless vehicles or UAS (Unmanned Airborne Systems) swarms. These necessitate the use of accurate object space information about physical environment around platform. This can be generally provided by suitable selection sensors, including types...
With recent advances of lidar technology, the accuracy potential data has significantly improved. State-of-the-art systems can achieve 2 to 3 cm ranging under ideal conditions, which is level required by engineering scale mapping. However, this also range that cannot be realized routine navigation-based direct sensor platform orientation. Furthermore, are highly integrated multi-sensor systems, and various components, as well their spatial relationships, introduce different errors degrade...
Space-based positioning, navigation, and timing (PNT) technologies, such as the global navigation satellite systems (GNSS) provide position, velocity, information to an unlimited number of users around world. In recent years, PNT has become increasingly critical security, safety, prosperity World's population, is now widely recognized essential element infrastructure. Due its vulnerabilities line-of-sight requirements, GNSS alone unable with required levels integrity, accuracy, continuity,...
Camera–inertial measurement unit (IMU) sensor fusion has been extensively studied in recent decades. Numerous observability analysis and schemes for motion estimation with self-calibration have presented. However, it uncertain whether the intrinsic parameters of both camera IMU are observable under general motion. To answer this question, by using Lie derivatives, we first prove that a rolling shutter (RS) camera–IMU system, all extrinsic parameters, time offset, readout RS an unknown...
The precise extraction of road boundaries is an essential task to obtain infrastructure data that can support various applications, such as maintenance, autonomous driving, vehicle navigation, and the generation high-definition maps (HD map). Despite promising outcomes in prior studies, challenges persist extraction, particularly discerning diverse types. proposed methodology integrates state-of-the-art techniques like DBSCAN RANSAC, aiming establish a universally applicable approach for...
Twenty-four-hour samples of PM10 (mass particles with aerodynamic diameter < or = 10 microm), PM2.5, 2.5 particle strong acidity (H+), sulfate (SO42-), nitrate (NO3-), ammonia (NH3), nitrous acid (HONO), and sulfur dioxide were collected inside outside 281 homes during winter summer periods. Measurements also conducted periods at a regional site. A total 58 nonsmokers sampled the 223 Seventy-four reported use kerosene heater. All in located southwest Virginia. but 20 Virginia; remainder...
Reliable and accurate geolocation is essential for airborne land-based remote sensing applications. The detection, discrimination, remediation of unexploded ordnance (UXO) other munitions explosives concern (MEC) using the currently available detection technologies often yield unsatisfactory results, failing to detect all MEC present at a site or discriminate between nonhazardous items. Thus, goal this paper design demonstrate high-accuracy methodology that will address centimeter-level...
Remote sensing technologies have seen extraordinary improvements in both spatial resolution and accuracy recently. In particular, airborne laser scanning systems can now provide data for surface modeling with unprecedented accuracy, which effectively support the detection of sub-meter features, vital landslide mapping. Also, easy repeatability acquisition offers opportunity to monitor temporal changes, are essential identifying developing or active slides. Specific methods needed detect map...
The 2023 Kahramanmaraş earthquake sequence produced extensive liquefaction-induced ground deformations and ongoing flooding along the shoreline of Mediterranean port city İskenderun, Türkiye. This study compiles field observations analyses from cross-disciplinary perspectives to investigate whether earthquake-induced liquefaction was a significant factor for increasing flood hazard in İskenderun. Geotechnical reconnaissance following earthquakes included seaward lateral spreading, settlement...
Abstract. Unmanned Aerial System (UAS) technology is nowadays willingly used in small area topographic mapping due to low costs and good quality of derived products. Since cameras typically with UAS have some limitations, e.g. cannot penetrate the vegetation, LiDAR sensors are increasingly getting attention mapping. Sensor developments reached point when their size suit platform, though, still an emerging technology. One issue related using on limited performance navigation platforms....
The availability of global navigation satellite systems (GNSS) on consumer devices has caused a dramatic change in every-day life and human behaviour globally. Although GNSS generally performs well outdoors, unavailability, intentional unintentional threats, reliability issues still remain. This motivated the deployment other complementary sensors such way that enables reliable positioning, even GNSS-challenged environments. Besides sensor integration single platform to remedy lack GNSS,...
Epipolar line determination and image resampling are important steps for stereo processing. Unlike frame cameras that have well-known epipolar geometry, the pushbroom camera does not produce straight lines pair exist entire scene. These properties make it difficult to establish geometry of resampling. Therefore, some researchers adopted approximate models avoid these problems. In this study, a new method conjugate curve spaceborne images based on RPC is proposed. The proposed assumes pairs...
Unmanned Aerial System (UAS) technology is nowadays willingly used in small area topographic mapping due to low costs and good quality of derived products. Since cameras typically with UAS have some limitations, e.g. cannot penetrate the vegetation, LiDAR sensors are increasingly getting attention mapping. Sensor developments reached point when their size suit platform, though, still an emerging technology. One issue related using on limited performance navigation platforms. Therefore,...
Cooperative positioning (CP) utilises information sharing among multiple nodes to enable in Global Navigation Satellite System (GNSS)-denied environments. This paper reports the performance of a CP system for pedestrians using Ultra-Wide Band (UWB) technology inGNSS-denied data set was collected as part benchmarking measurementcampaign carried out at Ohio State University October 2017. Pedestrians were equippedwith variety sensors, including two different UWB systems, on specially designed...