Articles with "occlusion aware" as a keyword



Occlusion-aware Motion Planning with Visibility Maximization via Active Lateral Position Adjustment

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3178729

Abstract: As the operational domain of autonomous vehicles expands, encountering occlusions during navigation becomes unavoidable. Most of the existing research on occlusion-aware motion planning focuses only on the longitudinal motion of the ego vehicle and neglects… read more here.

Keywords: planner; occlusion aware; motion; planning ... See more keywords

OA-WinSeg: Occlusion-Aware Window Segmentation With Conditional Adversarial Training Guided by Structural Prior Information

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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3550632

Abstract: Window segmentation and vectorization remains a significant challenge, particularly in the absence of clean facade images. To extract complete window segments from building façade images with occlusions, this article proposes an occlusion-aware window segmentation (OA-WinSeg)… read more here.

Keywords: information; segmentation; window segmentation; aware window ... See more keywords

Learning an Occlusion-Aware Network for Video Deblurring

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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2021.3132102

Abstract: Video deblurring is a challenging task since the blur is caused by camera shake, object motions, etc. The success of the state-of-the-art methods stems mainly from exploiting the temporal information of neighboring frames through alignment.… read more here.

Keywords: aware network; video; video deblurring; occlusion aware ... See more keywords

Occlusion-Aware Road Extraction Network for High-Resolution Remote Sensing Imagery

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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3387945

Abstract: Road occlusion seriously affects the connectivity of extracted roads, and has a negative effect on practical applications. The dense road occlusion problem is caused by high-rise buildings and street trees, and is a more serious… read more here.

Keywords: road occlusion; road; remote sensing; occlusion ... See more keywords

LASOR: Learning Accurate 3D Human Pose and Shape via Synthetic Occlusion-Aware Data and Neural Mesh Rendering

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Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2022.3149229

Abstract: A key challenge in the task of human pose and shape estimation is occlusion, including self-occlusions, object-human occlusions, and inter-person occlusions. The lack of diverse and accurate pose and shape training data becomes a major… read more here.

Keywords: occlusion aware; shape; pose shape; human pose ... See more keywords

Overcoming Fear of the Unknown: Occlusion-Aware Model-Predictive Planning for Automated Vehicles Using Risk Fields

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Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2024.3382507

Abstract: As vehicle automation advances, motion planning algorithms face escalating challenges in achieving safe and efficient navigation. Existing Advanced Driver Assistance Systems (ADAS) primarily focus on basic tasks, leaving unexpected scenarios for human intervention, which can… read more here.

Keywords: navigation; planning automated; risk; risk fields ... See more keywords

Occlusion-Aware Real-Time Object Tracking

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Published in 2017 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2016.2631884

Abstract: The online learning methods are popular for visual tracking because of their robust performance for most video sequences. However, the drifting problem caused by noisy updates is still a challenge for most highly adaptive online… read more here.

Keywords: classifier; real time; visual tracking; occlusion aware ... See more keywords

Occlusion-Aware Feature Recover Model for Occluded Person Re-Identification

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Published in 2024 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2023.3331192

Abstract: Occluded person re-identification (Re-ID) is a challenging task, as various object-to-person (OTP) and person-to-person (PTP) occlusion scenarios cause diverse occlusion interference and target person feature loss problems in person matching. Most existing methods, which utilize… read more here.

Keywords: person; occlusion; model; feature ... See more keywords

Occlusion-Aware Camera Selection in Vehicular Networks

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Published in 2025 at "IEEE Transactions on Vehicular Technology"

DOI: 10.1109/tvt.2025.3559718

Abstract: Camera sensors are widely used to perceive traffic environments, understand traffic condition, and help avoid accidents. Since most sensors are limited by line-of-sight, the perception data from vehicles can be uploaded and shared through the… read more here.

Keywords: camera selection; coverage; camera; selection ... See more keywords