Research graph
References from Hearing unseen risks: An advanced audio-driven approach for detecting potential road risk events. Local targets link to admitted publications; unresolved targets remain external evidence.
A real-time vehicle detection and a novel vehicle tracking systems for estimating and monitoring traffic flow on highways
10.1016/j.aei.2021.101393 · 2021 · External reference
Road pavement monitoring and analysis approaches using gyroscope and accelerometer data
10.1016/j.ifacol.2024.07.385 · 2024 · External reference
Lane change identification and prediction with roadside LiDAR data
10.1016/j.optlastec.2019.105934 · 2020 · External reference
A survey of vision-based traffic monitoring of road intersections
10.1109/tits.2016.2530146 · 2016 · External reference
10.1109/car.2010.5456821
10.1109/car.2010.5456821 · External reference
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks
10.1016/j.asoc.2021.107950 · 2021 · External reference
10.1109/ccdc.2015.7162555
10.1109/ccdc.2015.7162555 · External reference
Statistical modelling for urban roads traffic noise levels
10.1016/j.sciaf.2022.e01131 · 2022 · External reference
Spatio-temporal changes of road traffic noise pollution at ecoregional scale
10.1016/j.envpol.2021.117291 · 2021 · External reference
10.1109/icosst.2018.8632192
10.1109/icosst.2018.8632192 · External reference
Automated complex urban driving based on enhanced environment representation with GPS/map, radar, lidar and vision
10.1016/j.ifacol.2016.08.029 · 2016 · External reference
Engineering tools and methods of estimation of traffic capacity using mobile video monitoring
10.1016/j.trpro.2017.01.044 · 2017 · External reference
Dynamic traffic noise maps based on noise monitoring and traffic speed data
10.1016/j.trd.2021.102796 · 2021 · External reference
Variation of spatio-temporal distribution of on-road vehicle emissions based on real-time RFID data
10.1016/j.jes.2021.07.018 · 2022 · External reference
Machine learning applied to acoustic-based road traffic monitoring
10.1016/j.procs.2022.09.164 · 2022 · External reference
Road traffic noise monitoring in a Smart City: Sensor and Model-Based approach
10.1016/j.trd.2023.103979 · 2023 · External reference
10.1145/2733373.2806390
10.1145/2733373.2806390 · External reference
A real-time video surveillance system for traffic pre-events detection
10.1016/j.aap.2021.106019 · 2021 · External reference
Prediction of traffic noise induced annoyance: A two-staged SEM-Artificial Neural Network approach
10.1016/j.trd.2021.103055 · 2021 · External reference
An algorithm for determining the endpoints of isolated utterances
10.1002/j.1538-7305.1975.tb02840.x · 1975 · External reference
Predicting accounting fraud using imbalanced ensemble learning classifiers–evidence from China
10.1111/acfi.13044 · 2023 · External reference
Smart traffic control: Identifying driving-violations using fog devices with vehicular cameras in smart cities
10.1016/j.scs.2021.102986 · 2021 · External reference
RUSBoost: A hybrid approach to alleviating class imbalance
10.1109/tsmca.2009.2029559 · 2010 · External reference
A survey on monitoring and management techniques for road traffic congestion in vehicular networks
10.1016/j.icte.2024.10.007 · 2024 · External reference
10.1016/b978-0-240-81213-7.00002-2
10.1016/b978-0-240-81213-7.00002-2 · External reference
Auto-tuning deep forest for shear stiffness prediction of headed stud connectors
10.1016/j.istruc.2022.07.054 · 2022 · External reference
Ensemble empirical mode decomposition: A noise-assisted data analysis method
10.1142/s1793536909000047 · 2009 · External reference
