Vehicular perception based on inertial sensing: A structured mapping of approaches and methods

J Menegazzo, A von Wangenheim - SN Computer Science, 2020 - Springer
In this paper, we present a structured literature mapping of the state-of-the-art of vehicular
perception methods and approaches using inertial sensors. An in-depth investigation and …

Pavement management utilizing mobile crowd sensing

B Tian, Y Yuan, H Zhou, Z Yang - Advances in Civil …, 2020 - Wiley Online Library
Pavement management, which is vital in road transportation and maintenance, is facing
some troubles, such as high costs of labors and machineries, low detecting efficiency, and …

Speed Bump Detection Through Inertial Sensors and Deep Learning in a Multi-contextual Analysis

J Menegazzo, A von Wangenheim - SN Computer Science, 2022 - Springer
Speed bumps are vertical raisings of the road pavement used to force drivers to slow down
to ensure greater safety in traffic. However, these obstacles have disadvantages in terms of …

[PDF][PDF] Vehicular perception and proprioception based on inertial sensing: a systematic review

J Menegazzo, A Von Wangenheim - Brazilian National Institute for …, 2018 - researchgate.net
Sensory information of vehicular perception has been applied in recent years in a wide
variety of domains such as in supporting decision to intelligent agents in autonomous …

[PDF][PDF] A FUZZY-BASED APPROACH FOR TRAFFIC JAM DETECTION

AH Abd El-Tawaba, T Abd El Fattah, MA Mahmood - IJCSNS, 2021 - koreascience.kr
Though many have studied choosing one of the alternative ways to reach a destination, the
factors such as average road speed, distance, and number of traffic signals, traffic …

An Analysis of Road Surface Condition for Transport Logistics Service in Road-linked Indochina Region

LB GUETA, A SATO - Journal of the Eastern Asia Society for …, 2017 - jstage.jst.go.jp
Land transport logistics is a backbone of manufacturing and industrial centers in the road-
linked Indochina region. This paper investigates the application of road surface condition …