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 …
difficult for drivers or automated vehicles to discern moving objects coming from certain …
Vehicle Detection and Tracking in Real-time using YOLOv4-tiny
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 …
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
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 …
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
Dispersion nature of water droplets over the insulator surface is used for hydrophobicity
classification. Stochastic nature of water dispersions makes naive Bayesian classifier a …
classification. Stochastic nature of water dispersions makes naive Bayesian classifier a …
Vehicle-pedestrian classification with road context recognition using convolutional neural networks
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 …
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 …
tracking gets more challenging when vehicles change direction at intersections …
[PDF][PDF] Object detection in x-ray images using transfer learning with data augmentation
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 …
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
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 …
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
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 …
cycling team or pelotons. Several multi agent applications require efficient positioning of the …
Philippine license plate character recognition using faster R-CNN with InceptionV2
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 …
Faster R-CNN with InceptionV2 feature extractor that works in the Philippines. While there …