Monocular Camera Viewpoint-Invariant Vehicular Traffic Segmentation and Classification Utilizing Small Datasets [PDF]
Sensors, 2022 The work presented here develops a computer vision framework that is view angle independent for vehicle segmentation and classification from roadway traffic systems installed by the Virginia Department of Transportation (VDOT). An automated technique for
Amr Yousef +2 more
doaj +2 more sources
Comparative performance analysis of U-Net and DeepLabV3+ for semantic segmentation in traffic environments [PDF]
Scientific ReportsComputer vision is an important field of artificial intelligence that enables machines to interpret and understand visual information from images. It is the basis of automated visual understanding in smart systems.
Ramyashree +4 more
doaj +2 more sources
Integration of Multi-Sensor Fusion and Decision-Making Architecture for Autonomous Vehicles in Multi-Object Traffic Conditions [PDF]
SensorsAutonomous vehicles represent a transformative technology in modern transportation, promising enhanced safety, efficiency, and accessibility in mobility systems.
Hai Ngoc Nguyen +6 more
doaj +2 more sources
Traffic Light Recognition Based on Binary Semantic Segmentation Network
Sensors, 2019 A traffic light recognition system is a very important building block in an advanced driving assistance system and an autonomous vehicle system. In this paper, we propose a two-staged deep-learning-based traffic light recognition method that consists of ...
Hyun-Koo Kim +3 more
doaj +3 more sources
Research on Traffic Marking Segmentation Detection Algorithm Based on Feature Fusion
World Electric Vehicle JournalIdentifying road markings is a very important part of the vehicle environment sensing system and plays a crucial role in a vehicle’s correct understanding of a current traffic situation.
Zhonghe He +4 more
doaj +3 more sources
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
IEEE Transactions on Intelligent Transportation SystemsTraffic flow analysis is revolutionising traffic management. Qualifying traffic flow data, traffic control bureaus could provide drivers with real-time alerts, advising the fastest routes and therefore optimising transportation logistics and reducing congestion. The existing traffic flow datasets have two major limitations.
Rihuan Ke +2 more
exaly +4 more sources
Scenario-Based Segmentation: Traffic Image Segmentation by GNN Based Driver’s Scenario
IEEE AccessThis paper introduces the Scenario-Based Segmentation Network (SBS-Net), which highlights significant advances in autonomous driving. Through the integration of the Scenario Enhanced Graph Neural Network (SE-GNN) and graph re-match modules into the ...
Seungwoo Nham +4 more
doaj +2 more sources
SEGMENTATION OF TRAFFIC SIGNS FROM POLES WITH MATHEMATICAL MORPHOLOGY APPLIED TO POINT CLOUDS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Traffic signs are one of the most relevant road assets for driving, as the safety of drivers depends to a great extent on their correct location. In this paper two methods are compared for the segmentation of the sign and the pole supporting it.
J. Balado +5 more
doaj +1 more source
Обеспечение безопасности корпоративных сетей на основе оборудования D-Link
Современные информационные технологии и IT-образование, 2023 На общем фоне атак на корпоративные инфокоммуникации значительную их часть занимают попытки нарушения целостности и доступности информации путем дестабилизации сетевой инфраструктуры.
Ромасевич, П.В. +2 more
doaj +1 more source
Buffer Time Optimization in the Function of Timetable Stability
Promet (Zagreb), 2023 Timetable stability depends on the regularity of trains. Any deviation from the planned timetable leads to its instability. Railway network characteristics determine the capacities of the transport service.
Branimir Duvnjak +2 more
doaj +1 more source