TAG: urban canyons

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

November 10, 2014By
ublox-NEO-M8L-O

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
PegasusTwo_application-O

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

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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