TAG: urban canyon

LTE cellular steers UAV: Signals of opportunity work in challenged environments

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No GPS? No Problem! Long-term evolution (LTE) cellular signals can be exploited for accurate and resilient autonomous vehicle navigation in the absence of clear GNSS signals. Simulation and experimental results demonstrate that GPS-like performance can be achieved in the absence of GPS signals when cellular pseudoranges aid an inertial navigation system. By Zaher M. Kassas, Joshua J. Morales, Kimia Shamaei,... read more

Qualcomm Research: Robust positioning from visual-inertial and GPS

Figure 2: Part of the walk trajectory, passing through a building, where GPS is unavailable.

Presented at ION GNSS+, September 2016 GPS positioning in urban scenarios is challenging because of large numbers of non-line-of-sight outlier measurements. We propose a robust positioning algorithm that combines GPS observations with visual-inertial odometry information to handle such outliers. We demonstrate the effectiveness of our algorithm in a simulation scenario with close to 80-percent outliers. In experiments in a mild... read more

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MWC 2015: InvenSense to Ship Positioning Software for Smartphones

March 2, 2015By

InvenSense Inc. is making available its InvenSense Positioning Library (IPL) software, designed to provide sensor-assisted positioning in places where GNSS alone cannot provide desired accuracy. Invensense is a provider of intelligent sensor system on chip for motion and sound in consumer electronic devices. InvenSense made the announcement at Mobile World Congress, taking place in Barcelona, Spain March 2-5. The IPL incorporates advancements in sensor-assisted... read more

u-blox Launches Indoor/Outdoor Positioning Module with 3D Sensors

November 10, 2014By
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The new NEO-M8L Automotive Dead Reckoning (ADR) module by u-blox has integrated motion, direction and elevation sensors. The module integrates gyro and accelerometer with u‑blox’ GNSS platform u-blox M8 to achieve high indoor/outdoor positioning performance for road vehicle and high-accuracy navigation applications. In addition to accessing the integrated module’s gyro and accelerometer data, accident reconstruction systems can provide the location of an... read more

Tallysman TW5340 Smart Antenna Designed for Urban Canyons

November 6, 2014By

Tallysman’s new TW5340 smart antenna is designed to pair Tallysman‘s Accutenna technology antenna with STMicroelectronics’ Teseo II receiver. The combination makes the smart antenna accurate for use in all environments, including urban canyons, according to the company. The TW5340 is a multi-constellation GNSS Smart Antenna that provides simultaneous GPS/GLONASS/SBAS reception. It is designed for use in professional-grade applications such as precision timing, network synchronization, low current applications, and tracking/positioning applications. To... read more

Leica Offers Next-Generation Mobile Mapping Platform, Pegasus:Two

June 3, 2014By
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Leica Geosystems has introduced its next generation vehicle-independent mobile mapping platform, the Pegasus:Two. By calibrating imagery and LiDAR point cloud data, the Pegasus:Two delivers highly accurate and economical geospatial data in a 360° spherical view while providing two methods for extracting data — either through LiDAR or via photogrammetry. With its enhanced sensor platform using six horizontal cameras, plus an... read more

Urban GPS Navigation Improved 50-90 Percent, Researchers Say

February 13, 2013By
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A new system developed by Universidad Carlos III de Madrid (UC3M) researchers uses sensors to improve the ability of GPS to determine a vehicle’s position compared to use of conventional GPS devices by up to 90 percent. The prototype can guarantee the position of the vehicle to within 1 or 2 meters in urban settings, the researchers said. The system... read more

Shadow Matching: Improved GNSS Accuracy in Urban Canyons

February 1, 2012By
Figure 8. Candidate user positions (in yellow) and true receiver positions (in red and green) in the shadow matching experimental verification.

GNSS positioning in dense urban areas is unreliable, with accuracy particularly poor in the cross-street direction. One solution is shadow matching, a new positioning technique that uses 3D building models to predict which satellites are visible from different locations and compares this with the measured satellite visibility to determine position. This article presents test results of a preliminary shadow-matching algorithm in a London urban canyon and discusses the practical implementation of the technique. read more

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