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Steering Angle Assisted Vehicular Navigation Using Portable Devices in GNSS-Denied Environments

Mohamed Moussa, Adel Moussa, Naser El-Sheimy
2019 Sensors  
A road experimental test was carried out using a Pixhawk (PX4) navigation system, iPad Air, and the OBD-II interface.  ...  In addition, these factors are assessed for their effects on the final result.  ...  A low-cost driving data acquisition system for different land vehicles, BigRoad, was proposed by [11] .  ... 
doi:10.3390/s19071618 fatcat:mnqrdoaak5conmwgl2f2xbbnjm

Scaling data sharing among vehicles to tackle long tail traffic situations

Hongyu Li
2021
errors, visual obstructions, and viewpoint differences.To address such challenges, this thesis focuses on scaling data sharing among vehicles, which enables low-cost road data acquisition, unusual driving  ...  Since most existing efforts to collect driving data build on a small fleet of highly instrumented vehicles that are continuously operated with test drivers, it is challenging to acquire the road data in  ...  Chapter 3 Big Road: Scaling Road Data Acquisition for Dependable Self-Driving Introduction Advanced driver assistance systems and, in particular, automated driving offer an unprecedented opportunity  ... 
doi:10.7282/t3-sgra-0w37 fatcat:ixfzljrslzgcbetagzlt4rpeza

Commercial Motor Vehicle (CMV) Driver Restart Study: Final Report

Michael Trentalange, Devon Moeller, Susan Soccolich, Rebecca Hammond, Kevin Kan, David Maislin, Jeffrey Hickman, Daniel Mollicone, Richard Hanowski, Greg Maislin, David Dinges, Lytx (Firm) (+4 others)
2017
This report documents the methods, data analyses, results, and conclusions involved in successfully conducting this study and evaluating the data.  ...  ., the requirement for two nighttime periods [1-5 a.m.] during a 34-hour restart, and the requirement for a minimum of 168 hours between the beginning of a 34-hour restart period and the beginning of the  ...  This markedly improved data acquisition timeliness and completeness.  ... 
doi:10.21949/1502650 fatcat:2udsu4wcxvcohldh77brcwwlue