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7篇 您的检索式:作者名="Martin Glavin"
    题名 作者 年代 出处 被引量
1Equidistant Fish-Eye Calibration and Rectification by Vanishing Point Extraction 显示文摘Ciara'n Hughes Patrick Denny Martin Glavin and Edward Jones 2010IEEE Transactions on Pattern Analysis and Machine Intelligence2010,32,12:1
2llear-Lamp Vehicle Detection and Tracking in Low-Exposure Color Video 1or Night Con- ditions 显示文摘Ronan O' Malle) Edward Jones Martin Glavin 2010IEEE Transactions on Intelligent Transporlalion Systems2010,11,2:1
3On the electrochemical reduction of nicotinamide in an acid medium显示文摘MARTIN Glavin R RODRIGUEZ Mellado J M 1989J Electronal Chem1989,,:1
4Detection of pedestrians in far-infrared automotive night vision using region-growing and clothing distortion compensation显示文摘Ronan O’Malley Edward Jones Martin Glavin 2010Infrared Physics and Technology2010,,6:1
5Simple fisheye calibration method with accuracy evaluation显示文摘Ciar'an Hughes Martin Glavin Edward Jones 2011Electronic Letters on Computer Vision and Image Analysis2011,10,1:1
6Rear-Lamp Ve- hicle Detection and Tracking in Low-Exposure Color Video for Night Conditions显示文摘Ronan O' Malley Edward Jones Martin Glavin 2010IEEE Transactions on Intelligent Transpor- tati on Systems2010,11,2:1
7Replacing the human driver:An objective benchmark for occluded pedestrian detection显示文摘Early detection of vulnerable road users is a crucial requirement for autonomous vehicles to meet and exceed the object detection capabilities of human drivers.One of the most complex outstanding challenges is that of partial occlusion where a target object is only partially available to the sensor due to obstruction by another foreground object.A number of leading pedestrian detection benchmarks provide annotation for partial occlusion,however each benchmark varies greatly in their definition of the occurrence and severity of occlusion.Research demonstrates that a high degree of subjectivity is used to classify occlusion level in these cases and occlusion is typically categorized into 2–3 broad categories such as“partially”and“heavily”occluded.In addition,many pedestrian instances are impacted by multiple inhibiting factors which contribute to non-detection such as object scale,distance from camera,lighting variations and adverse weather.This can lead to inaccurate or inconsistent reporting of detection performance for partially occluded pedestrians depending on which benchmark is used.This research introduces a novel,objective benchmark for partially occluded pedestrian detection to facilitate the objective characterization of pedestrian detection models.Characterization is carried out on seven popular pedestrian detection models for a range of occlusion levels from 0%–99%to demonstrate the impact of progressive levels of partial occlusion on pedestrian detectability.Results show that the proposed benchmark provides more objective,fine grained analysis of pedestrian detection algorithms than the current state of the art.Shane Gilroy Darragh Mullins Ashkan Parsi Edward Jones Martin Glavin 2023Biomimetic Intelligence & Robotics2023,3,3:0
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