[PDF][PDF] Analyse von Smartphone-Sensordaten mit rekurrenten neuronalen Netzen zur Klassifikation von Fahrmanövern

O Otto - 2020 - repo.bibliothek.uni-halle.de
Dieses Kapitel vermittelt die grundlegende Motivation, einen Ansatz zu untersuchen, mit
dem Fahrerassistenzsysteme zur Unfallvermeidung realisiert werden könnten. Die Relevanz …

On-Edge Driving Maneuvers Detection in Challenging Environments from Smartphone Sensors

NE Amer, A El Mahdy, M Khamis… - … Africa Conference on …, 2022 - ieeexplore.ieee.org
Traffic fatalities are increasing in developing countries where there are few investments in
road safety. Culture and road conditions also affect driving habits. Therefore, automatic …

[HTML][HTML] Driving event recognition using machine learning and smartphones

EHJM Lokman, VT Goh, TTV Yap, H Ng - F1000Research, 2022 - ncbi.nlm.nih.gov
Background: The lack of real-time monitoring is one of the reasons for the lack of awareness
among drivers of their dangerous driving behavior. This work aims to develop a driver …

One step further towards real-time driving maneuver recognition using phone sensors

SE Ramah, A Bouhoute, K Boubouh… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Statistics show that the global number of cars on the road will nearly double by the year
2040. The widespread use of cars prompts the search for new technologies and systems to …

[PDF][PDF] Classification of driving characteristics using smartphone sensor data

C Antoniou, V Papathanasopoulou, V Gikas… - … of Symposium of the …, 2014 - academia.edu
Human factors and driving characteristics have become a key consideration and design
factor for all kinds of transportation systems and infrastructure elements. Classification of …

Deep Learning-Based Driver Behavior Detection on Simulated and Real Data

Z CAMLICA - 2023 - uwspace.uwaterloo.ca
Driver behaviour has a significant influence on vehicle accidents. Measuring and providing
feedback on driver behaviour can provide significant benefits for understanding and …

Smartphone-based adaptive driving maneuver detection: A large-scale evaluation study

G Castignani, T Derrmann, R Frank… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The proliferation of connected mobile devices together with advances in their sensing
capacity has enabled a new distributed telematics platform. In particular, smartphones can …

Design and development of a low-cost smartphone-based research platform for real-world driving studies

M Nefzger - 2017 - eprints.qut.edu.au
Naturalistic driving studies as a method to explore driving and driver behaviour in a natural
environment have become increasingly popular in road safety research. However, data …

Erkennung von Fahrmanövern mit objektorientierten Bayes-Netzen in Autobahnszenarien

D Kasper - 2012 - tobias-lib.ub.uni-tuebingen.de
Die Steigerung der Verkehrssicherheit ist seit langer Zeit das Ziel der Automobilhersteller.
Dazu wurden in vergangenen Jahren viele Fahrerassistenzsysteme entwickelt, die das …

Smartphone-based hard-braking event detection at scale for road safety services

L Liu, D Racz, K Vaillancourt, J Michelman… - … research part C …, 2023 - Elsevier
Road crashes are the sixth leading cause of lost disability-adjusted life-years (Daly s)
worldwide. One major challenge in traffic safety research is the sparsity of crashes, which …