Detection and tracking of moving objects at road intersections using a 360-degree camera for driver assistance and automated driving

C Premachandra, S Ueda, Y Suzuki - IEEE Access, 2020 - ieeexplore.ieee.org
Many complicated road intersections are seen while driving. In some, blind spots make it
difficult for drivers or automated vehicles to discern moving objects coming from certain …

Vehicle Detection and Tracking in Real-time using YOLOv4-tiny

A Amrouche, Y Bentrcia, A Abed… - 2022 7th International …, 2022 - ieeexplore.ieee.org
Vehicle detection and tracking is a popular research topic in Intelligent Transportation
Systems. The goal of this paper is to detect, identify, and track vehicles in surveillance …

Characterization of bubble dynamics in the nozzle flow of aviation fuels via computer vision tools

I Gluzman, FO Thomas - International Journal of Multiphase Flow, 2022 - Elsevier
Bubble breakup and associated gaseous cavitation inception triggered by a single bubble
injected into the flow of aviation fuel flowing in a converging–diverging nozzle are …

Naive Bayesian classifier for hydrophobicity classification of overhead polymeric insulators using binary image features with ambient light compensation

R Jayabal, V Karuppiyan, RK Sidharthan - High Voltage, 2019 - Wiley Online Library
Dispersion nature of water droplets over the insulator surface is used for hydrophobicity
classification. Stochastic nature of water dispersions makes naive Bayesian classifier a …

Vehicle-pedestrian classification with road context recognition using convolutional neural networks

RKC Billones, AA Bandala, LAG Lim… - 2018 IEEE 10th …, 2018 - ieeexplore.ieee.org
In road traffic scene analysis, it is important to observe vehicular traffic and how pedestrian
foot traffic affects the over-all traffic situation. Road context is also significant in proper …

Multi‐camera multiple vehicle tracking in urban intersections based on multilayer graphs

M Delavarian, O Reza Marouzi… - IET Intelligent …, 2020 - Wiley Online Library
Vehicle visual tracking is a challenging issue in intelligent transportation systems. The
tracking gets more challenging when vehicles change direction at intersections …

[PDF][PDF] Object detection in x-ray images using transfer learning with data augmentation

RL Galvez, EP Dadios, AA Bandala… - Int. J. Adv. Sci. Eng. Inf …, 2019 - core.ac.uk
Object detection in X-ray images is an interesting problem in the field of machine vision. The
reason is that images from an X-ray machine are usually obstructed with other objects and to …

Optimization of vehicle classification model using genetic algorithm

CDL Cero, E Sybingco, AKM Brillantes… - 2019 IEEE 11th …, 2019 - ieeexplore.ieee.org
This paper focuses on classifying vehicle types into car, van, motorcycle, bus, light truck,
multi-axle truck and determine its class based on the Philippine Toll Regulatory Board's …

Dynamic peloton formation configuration algorithm of swarm robots for aerodynamic effects optimization

RAR Bedruz, JMZ Maningo… - … conference on robot …, 2019 - ieeexplore.ieee.org
This paper presents a flocking and formation algorithm adapted from the flocking behavior of
cycling team or pelotons. Several multi agent applications require efficient positioning of the …

Philippine license plate character recognition using faster R-CNN with InceptionV2

MCE Amon, AKM Brillantes, CD Billones… - 2019 IEEE 11th …, 2019 - ieeexplore.ieee.org
This research proposes a method for automatic license plate recognition (ALPR) using the
Faster R-CNN with InceptionV2 feature extractor that works in the Philippines. While there …